1175 AI Architect jobs in Bengaluru

AI Architect(GENAI)

About Nous

Nous Infosystems is a CMMI® Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services.

We are on the lookout for strong AI Architects with the following skills.

Job Title: AI Architect

Experience: 10+ years

Location: Bengaluru

Job Description:

We are looking for a highly skilled AI Architect to design and deliver scalable, secure, and business-driven AI/ML solutions with a strong focus on Generative AI. The role requires expertise in AI/ML frameworks, cloud platforms, MLOps, and GenAI technologies, with the ability to translate complex business challenges into innovative technical solutions. The ideal candidate will act as a thought leader, mentor teams, and establish AI best practices across the organization.

Responsibilities:

• Architect, design, and oversee enterprise-grade Generative AI and AI/ML solutions.
• Define AI strategy, reference architectures, and best practices.
• Evaluate and implement Generative AI models (LLMs, SLMs).
• Develop and Integrate GenAI solutions for chatbots, document summarization, code generation, personalization, and automation use cases.
• Select and deploy AI/GenAI platforms and tools (e.g., OpenAI, LangChain, LagGraph, Semantic Kernel, RAG frameworks, ).
• Establish standards for model development, deployment, monitoring, and governance.
• Ensure AI/GenAI solutions are scalable, secure, ethical, and compliant.
• Collaborate with engineers, and business stakeholders to deliver impactful solutions.
• Drive innovation by staying updated with GenAI trends and emerging technologies.
• Mentor and guide teams in AI/ML and GenAI solution design.

Requirements:

• 10+ years of IT experience with experience in AI design and architecture.
• Expertise in ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with Generative AI (LLMs, NLP, Prompt Engineering, RAG, Vector Databases).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with GenAI tools/frameworks (LangChain, Hugging Face, OpenAI APIs).
• Experience in MLOps, CI/CD for ML, and model monitoring.
• Knowledge of big data ecosystems and data engineering.
• Understanding of data security, compliance, and Responsible AI practices.
• Strong leadership, communication, and solution architecture skills.

Please do share your latest profile to with the following details .

Current CTC :-

Expected CTC :-

Minimum Notice period :-

Regards

Team TA

AI Architect

Location : - Ascendion Office

2nd Floor, Prestige Blue Chip Software Park Tower-1, PRESTIGE BLUE CHIP SOFTWARE PARK, Marigowda Rd, Dairy Colony, Adugodi, Bengaluru, Karnataka

Job Summary:

Role Purpose

• Own the technical direction, solution integrity, and day-to-day engineering leadership for ongoing client projects in the Generative AI space. The architect guides cross-functional squads from design through production, ensuring scalable, maintainable, and compliant solutions.

Key Responsibilities

Solution Architecture

• Design end-to-end architecture covering React-TypeScript front-ends, FastAPI micro-services, Python business logic, Azure data layers, and OpenAI API integration.
• Define interface contracts, event flows, observability standards, and non-functional requirements (quality, security, data residency, performance)

Generative AI

• Establish prompt / response validation, abuse mitigation, and PII safeguards for GPT-4o -class models
• Benchmark chat completion and Responses API, embedding models and vector index strategies; tune retrieval pipelines for factual accuracy

Technical Leadership

• Convert epics to WBS , map to Jira boards, and drive backlog refinement with BAs
• Provide hands-on code reviews across UI, API, and data layers; resolve system-wide blockers

Delivery Management

• Align sprint goals with contractual milestones, working with Program Director;
• Coordinate SIT/UAT, oversee automated regression with Pytest , Jest / Playwright , and CI/CD pipelines

Stakeholder Engagement

• Present solution trade-offs to client architects and execs; adjudicate scope vs. risk
• Mentor 10-15 engineers; run architecture guilds and knowledge-sharing sessions

Minimum Qualifications

• 12+ years designing and shipping full-stack SaaS or data platforms, with 5 + years in architectural leadership.
• Proven production use of LLM-powered features (e.g., RAG, multi-agent orchestration).
• Deep expertise in React , TypeScript , FastAPI , Python 3.11+ , asynchronous patterns, and REST/GraphQL.
• Hands-on with Azure PaaS (Blob, Functions, ADF, ACR, AKS) and IaC (Bicep/Terraform).
• Strong grasp of test automation—Pytest , Jest , Selenium / Playwright —and quality gates.
• Familiarity with data modeling, SQL/NoSQL (Azure SQL, Cosmos DB), vector stores, and Delta Lake.
• Demonstrated ability to lead distributed teams and interface with C-level stakeholders.

Preferred Qualifications

• Prior work on financial-services analytics or regulatory environments.
• Experience hardening Azure OpenAI deployments for enterprise use.
• Exposure to Observability stacks (OpenTelemetry, Prometheus, Grafana) and threat modelling

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented AI Architect to join our team. If you're excited to be part of a winning team, CirrusLabs ( ) is a great place to grow your career.

Experience - 8 - 10 years

Location - Bengaluru

Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI

Position Overview

We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.

Key Responsibilities

• AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
• Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
• Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
• Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
• Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
• Research and prototype cutting-edge generative AI solutions
• Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
• Perform feature engineering, selection, and dimensionality reduction techniques
• Conduct statistical inference, confidence intervals, and significance testing
• Design and analyze controlled experiments and observational studies
• Apply Bayesian methods and probabilistic modeling approaches
• Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
• Build robust backend services and APIs using Python, Node.js, or similar technologies
• Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
• Create intuitive user interfaces for AI-powered applications and statistical dashboards
• MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment
• Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
• Monitor model performance, drift detection, and automated retraining systems
• Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
• Containerize applications using Docker and orchestrate with Kubernetes
• Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams
• Mentor junior engineers and contribute to technical decision-making
• Participate in code reviews and maintain high development standards
• Stay current with latest AI/ML trends and technologies

Required Qualifications

• Experience & Education: 7-8 years of professional software development experience
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
• 6+ years of hands-on AI/ML experience in production environments
• Technical Skills:Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
• Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
• Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
• Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages
• Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP
• LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
• RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
• Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
• Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
• Databases: PostgreSQL, MongoDB, Redis, vector databases
• MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools
• Cloud Platforms: AWS/GCP/Azure, serverless architectures
• Soft Skills: Strong problem-solving and analytical thinking
• Excellent communication and collaboration abilities
• Self-motivated with ability to work in fast-paced environments
• Experience with agile development methodologies
• Preferred Qualifications Experience with causal inference methods and econometric techniques
• Knowledge of distributed computing frameworks (Spark, Dask)
• Experience with edge AI and model optimization techniques
• Publications in AI/ML/Statistics conferences or journals
• Open source contributions to ML/statistical projects
• Experience with advanced statistical modeling and multivariate analysis
• Familiarity with operations research and optimization techniques

We are
CirrusLabs
. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented
AI Architect
to join our team. If you're excited to be part of a winning team, CirrusLabs (

) is a great place to grow your career.

Experience years

Location - Bengaluru

Job Summary:

We are seeking a
hands-on AI Engineer
to design, build, and deploy intelligent AI agents using
GCP Vertex AI
,
LangChain
, and modern UI tools like
Streamlit
. The ideal candidate will bring together skills in large language models (LLMs),
agent orchestration
,
MLOps
, and
user-friendly interface development
to create powerful and accessible AI solutions.

• Key Responsibilities:
  Design and implement
  LLM-based agents
  using
  LangChain
  , integrated with
  GCP Vertex AI
  services.
• Build
  interactive UIs
  using
  Streamlit
  or similar frameworks to showcase and test AI agent capabilities.
• Develop
  end-to-end ML pipelines
  for training, evaluation, and deployment using tools like
  Vertex Pipelines
  ,
  Kubeflow
  , or
  Airflow
  .
• Integrate with APIs, vector databases, and knowledge sources to enable
  RAG (Retrieval-Augmented Generation)
  workflows.
• Deploy scalable, secure AI services using
  CI/CD pipelines
  , infrastructure-as-code, and version-controlled model registries.
• Monitor model performance, manage experiments, and optimize agent behavior in production environments.

• Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications.

• Required Qualifications:
  Relevant of 3–6 years of hands-on experience in
  AI/ML engineering
  , including recent work with
  LLMs
  and
  LangChain
  .

• Proficiency with
  GCP Vertex AI
  tools such as Pipelines, Model Registry, Training, and Endpoints.
• Strong
  Python programming skills
  , with experience in
  FastAPI
  ,
  Flask
  , or similar web frameworks.
• Demonstrated experience building interactive dashboards or tools using
  Streamlit
  ,
  Gradio
  , or
  Dash
  .
• Knowledge of
  MLOps workflows
  , including tools like
  MLflow
  ,
  Weights & Biases
  , or
  Vertex AI Experiments
  .
• Experience working with
  vector stores
  (e.g., FAISS, Pinecone, Weaviate) in agent pipelines.
• Familiarity with
  retrieval-based QA
  , embeddings, and prompt engineering techniques.

• Experience with
  LangGraph
  or similar agent orchestration frameworks.

• Preferred Qualifications:
  Familiarity with
  cloud-native deployment
  and DevOps tools (Terraform, Docker, GCP Cloud Build).

• Background in
  UX/UI design thinking
  or rapid prototyping for AI-driven applications.
• Experience integrating LLMs with external APIs or private knowledge sources.

Job Title: Gen AI Architect

Experience Level: Minimum 10 years, Maximum 13 years

Job Description:

We are seeking a highly skilled and experienced AI Architect to join our growing team. The ideal candidate will possess a strong background in artificial intelligence, machine learning, and generative AI, with expertise in designing and developing advanced AI solutions. You will work collaboratively with cross-functional teams to create innovative AI models and applications that address complex business challenges.

**Key Responsibilities:**

• Design and implement scalable AI and machine learning solutions in line with business requirements.

• Collaborate with product managers, data scientists, and engineers to define technical architecture and framework for AI applications.

• Develop and optimize AI models using Python, Flask, and Langchain for deployment in cloud platforms, specifically Azure Open AI.

• Stay current with the latest AI trends and technologies, and bring innovative ideas to the team.

• Conduct code reviews, provide mentorship to junior team members, and uphold best practices in software development.

• Analyze and troubleshoot issues that arise during development and deployment processes.

• Communicate technical concepts clearly to both technical and non-technical stakeholders.

**Required Skills and Qualifications:**

• Minimum 10 years and a maximum of 13 years of experience in software development, specifically in AI and machine learning.

• Proven expertise in generative AI, artificial intelligence, and machine learning methodologies.

• Strong hands-on experience with Azure Open AI services, and familiarity with deploying machine learning models in cloud environments.

• Proficiency in Python and relevant frameworks (Flask, Langchain).

• Experience in designing AI architectures, including data pipelines and preprocessing techniques.

• Excellent problem-solving skills and a strong analytical mindset.

• Ability to work collaboratively in a team environment and communicate effectively with diverse stakeholders.

• Relevant degree in Computer Science, Engineering, or a related field.

Company Description

At PwC, we help clients build trust and reinvent their operations to transform complexity into competitive advantage. We're a forward-thinking, global network with more than 370,000 professionals spread across 149 countries. Our services span assurance, tax and legal, deals, and consulting, all aimed at building, accelerating, and sustaining business momentum. The PwC network comprises separate legal entities, further details of which can be found at

Role Description

This is a full-time on-site role for an AI Architect at PwC India, located in Bengaluru. The AI Architect will be responsible for designing and implementing AI-based solutions, integrating these solutions into existing systems, and guiding software development projects. The role also entails architectural design, project management, and ensuring the scalability and performance of AI frameworks within client infrastructure.

Qualifications

• Expertise in Architecture and Architectural Design
• Proficiency in Software Development and Integration
• Strong Project Management skills
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Experience in AI frameworks and technologies
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Relevant certifications in AI or Cloud Computing are a plus

Role & responsibilities

Experience - 8 years

Location - Bengaluru

Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI

Position Overview

We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.

Key Responsibilities

AI/ML Development & Data Science:

• Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
• Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
• Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
• Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
• Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
• Research and prototype cutting-edge generative AI solutions

Traditional ML & Statistics:

• Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
• Perform feature engineering, selection, and dimensionality reduction techniques
• Conduct statistical inference, confidence intervals, and significance testing
• Design and analyze controlled experiments and observational studies
• Apply Bayesian methods and probabilistic modeling approaches

Full Stack Development:

• Develop scalable front-end applications using modern frameworks (React, , Angular)
• Build robust backend services and APIs using Python, , or similar technologies
• Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
• Create intuitive user interfaces for AI-powered applications and statistical dashboards

MLOps & Infrastructure:

• Establish and maintain ML pipelines for model training, validation, and deployment
• Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
• Monitor model performance, drift detection, and automated retraining systems
• Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
• Containerize applications using Docker and orchestrate with Kubernetes

Collaboration & Leadership:

• Work closely with data scientists, product managers, and engineering teams
• Mentor junior engineers and contribute to technical decision-making
• Participate in code reviews and maintain high development standards
• Stay current with latest AI/ML trends and technologies

Required Qualifications

Experience & Education:

• 7-8 years of professional software development experience
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
• 6+ years of hands-on AI/ML experience in production environments

Technical Skills:

• Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
• Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
• Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
• Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages
• Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP
• LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
• RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
• Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
• Full Stack: , , REST/GraphQL APIs
• Databases: PostgreSQL, MongoDB, Redis, vector databases
• MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools
• Cloud Platforms: AWS/GCP/Azure, serverless architectures

Soft Skills:

• Strong problem-solving and analytical thinking
• Excellent communication and collaboration abilities
• Self-motivated with ability to work in fast-paced environments
• Experience with agile development methodologies

Preferred Qualifications

• Experience with causal inference methods and econometric techniques
• Knowledge of distributed computing frameworks (Spark, Dask)
• Experience with edge AI and model optimization techniques
• Publications in AI/ML/Statistics conferences or journals
• Open source contributions to ML/statistical projects
• Experience with advanced statistical modeling and multivariate analysis
• Familiarity with operations research and optimization techniques

Role: AI Architect

Relevant Experience: At least 4+ years of relevant experience are required

Location: Bangalore/Mysore/Coimbatore

Notice period: We are Open – Preferred Who can Join as soon as possible

Opportunity: Full time

Aezion is a technology solutions provider specializing in custom software, AI-driven solutions, and enterprise digital transformation.

Aezion is one of the trusted digital engineering providers in the USA and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish – architecting, designing, developing, hosting, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry – an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners.

Aezion is a mission-driven growing company fueled by our Purpose (Love others like Christ) and guided by our values (Love, Dependability, Humble, Diversity, Speed and Innovation). Our Purpose is why we exist. Our Values drive how we go about that existence and represent who we are. Service defines us at Aezion. Our 200+ dedicated, aligned employees pour their life energies to transform our customers into lifelong partners through service excellence.

We are looking for an innovative AI Architect to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes.

• Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features
• Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values
• Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets
• Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems.
• Deploy and maintain ML models in AWS or any other cloud environments.
• Optimize model performance and scalability.
• Collaborate with cross-functional teams to integrate AI solutions into existing applications.
• Develop and maintain APIs (RESTful) for AI model integration.
• Implement MLOps best practices to streamline the ML lifecycle.
• Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow.
• Develop and implement fraud detection models to identify and prevent fraudulent activities.
• Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability.
• Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras

We are seeking a talented Generative AI Developer to join our innovative team. The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs). You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI

• Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras. Proficiency in implementing and manipulating complex algorithms essential for generative AI development.
• Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to design, train, and optimize these models for generating high-quality and creative content.
• Natural Language Processing (NLP): Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications.
• Vector Databases: Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search.
• Embedding, Retrieval-Augmented Generation (RAG), and Indexing: Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation.
• LangChain and LangGraph: Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic.
• FastAPI and Microservices: Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions.
• LangSmith and LangFuse: Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications.
• Cloud Computing and Deployment: Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.

Role Overview:

We are seeking an experienced
AI Architect
with deep expertise in
signature verification and validation
using AI/ML techniques. The ideal candidate will have a strong background in designing and deploying AI-driven solutions for image recognition, document forensics, and fraud detection, along with proven experience in leading AI architecture and strategy.

Key Responsibilities:

• Architect, design, and implement AI/ML solutions for
  signature recognition, verification, and validation
  .
• Work on advanced
  computer vision and image processing
  to extract and analyze signatures from scanned documents, IDs, cheques, and forms.
• Apply deep learning and pattern recognition techniques to detect forgeries and validate genuine signatures.
• Define AI architecture standards, frameworks, and best practices for large-scale deployments.
• Collaborate with cross-functional teams, including compliance, product, and engineering, to align AI solutions with business and regulatory needs (KYC/AML).
• Ensure scalability, accuracy, and performance optimization of deployed AI systems.
• Provide technical leadership and mentorship to AI/ML teams.

Core Skills Required:

• Signature verification and validation using AI/ML
  (mandatory).
• Strong expertise in
  Python, TensorFlow, PyTorch, OpenCV, Scikit-learn
  .
• Hands-on experience with
  OCR tools
  (Tesseract, Google Vision API, AWS Textract).
• Proven experience in
  AI/ML model development, training, and deployment
  .
• Knowledge of
  document forensics, fraud detection, and digital identity verification
  .
• Strong architecture skills with ability to design scalable and secure AI solutions.

Preferred Skills:

• Exposure to
  biometric systems
  and
  digital identity management
  .
• Experience in
  banking, fintech, cybersecurity, or HR tech
  domains.
• Familiarity with
  KYC/AML workflows and compliance requirements
  .
• Knowledge of
  cloud platforms (AWS/GCP/Azure)
  and containerization (Docker/Kubernetes).

Educational Background:

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.