13,354 AI Ml Architect jobs in India

Job Title: AI/ML Architect

Location: Bangalore / Pune

Experience: 10+ Years

Job Type: Full-Time | Permanent

Work Mode: Hybrid

Job Summary

We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains.

Key Responsibilities

Customer Engagement & Solution Architecture

• Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.
• Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture.
• Create detailed system design documents, architecture diagrams, and technical roadmaps.
• Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows.

GenAI & RAG Architecture

• Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.
• Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization.
• Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.

AI/ML Model Development & MLOps

• Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.
• Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML.
• Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems.
• Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps).

Technical Leadership & Governance

• Review and approve system designs, PoCs, and implementation approaches.
• Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers.
• Lead architectural decision-making, code quality reviews, and sprint grooming sessions.
• Champion best practices in security, compliance, scalability, and performance optimization for AI/ML solutions.

Project Management & Collaboration

• Own end-to-end technical delivery of AI/ML and GenAI projects across multiple domains (e.g., BFSI, Retail, Healthcare, Manufacturing).
• Coordinate with product owners, business analysts, data engineers, and DevOps teams to ensure seamless delivery.
• Manage stakeholder expectations, project timelines, and resource allocation efficiently.

Required Qualifications

• 10+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions.
• Minimum 2–3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.
• Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.
• Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.
• Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc.
• Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER.
• Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas.
• Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure.
• Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes.
• Solid understanding of MLOps/LLMOps lifecycle: pipeline automation, model registry, monitoring, CI/CD.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Certification in AWS/GCP or ML specializations.
• Experience in leading large-scale AI transformation programs.

Why Join Us?

• Work with cutting-edge GenAI and AI/ML technologies and projects.
• Collaborate with top-tier clients and drive real-world impact.
• Leadership opportunities in a growing AI/ML practice.

Role: AI/ML Architect

Experience: 12+years

Location: Mumbai/Chennai/Indore

Role overview:

• Leads AI and automation strategy.

• Ensures AI is ethically and effectively embedded into enterprise processes.

Key Responsibilities

• Define and lead the AI & automation strategy, ensuring it aligns with business objectives.

• Oversee the development of AI-driven applications, conversational AI, and intelligent automation.

• Implement AI governance and ethics frameworks.

• Lead AI integration with ERP, CRM, ITSM, and enterprise workflows.

• Ensure scalability and optimization of Gen AI models, LLMs, and NLP solutions.

• Partner with data science teams to develop predictive and prescriptive analytics models.

Key Qualifications:

• 12+ years of experience in AI, machine learning, or automation leadership.

• Hands-on experience with Gen AI (LLMs), NLP, RPA, and AI model deployment.

• Strong knowledge of data science, cloud AI services, and automation tools.

• Experience implementing AI at an enterprise scale.

Position: AI ML GENAI Architect

Experience: 9+ Years

Location: Pune/ Kolkata / Indore

Work Mode: Hybrid (3 Days WFO / 2 Days WFH)

Position Overview:

We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures.

This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions.

Mandatory Skills: GENAI, Generative AI, LLM, LangChain, LlamaIndex, TensorFlow, Prompt Engineering.

Required Skills:

• Technical Expertise.
• Very good Skills in Python, Pandas, NumPy, SQL
• Excellent understanding of Machine Learning algorithms and metrics.
• Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools.
• Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud.
• Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, , Microsoft Autogen etc.
• Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop).
• Architecture Design
• Expertise in creating AI/ML solution blueprints and technical diagrams.
• Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Excellent understanding in Gen AI frameworks and models.
• Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2.
• Prior experience in technical presales and building proposal
• Domain Expertise
• Preferred domain expertise in consumer/CPG/retail, supply chain

Soft Skills:

1. Strong communication skills with the ability to present technical solutions to business leaders.

2. Proven ability to collaborate cross-functionally with technical and non-technical teams.

3. Problem-solving mindset with a focus on innovation and impact.

Role Description:

• Solution Design & Architecture
• Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors.
• Develop comprehensive architecture diagrams and technology stacks tailored to business needs.
• Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities.
• Technical Implementation & Agentic Workflows
• Design and implement agentic workflows using LLMs to automate decision-making and complex processes.
• Build modular, scalable solutions that integrate with existing enterprise systems and tools.
• Ensure solutions are aligned with MLOps practices for robust deployment and monitoring.
• Prototyping & POCs.
• Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions.
• Test and refine LLM-driven workflows and agent-based models to meet business objectives.
• Presales.
• Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need.
• Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal.

About Us

Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore).

Focused on accelerating digital performance through innovation and automation.

Our team has worked with a variety of Fortune 500 clients and has a track record of delivering reliable, high-quality solutions that drive business success.

Job Description

• Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges.
• Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance.
• Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads.
• Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning.
• Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools.
• Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production.
• Collaborate with engineering, data science, and product teams to align AI initiatives with business goals.
• Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle.
• Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks.

Requirements

Required Skills and Qualifications:

• Education:
   Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
• Experience:
   4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments.
• Technical Expertise:
   Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus.
• Preferred Traits:
   Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases

• Define and own the end-to-end architecture for enterprise-scale GenAI/AI solutions
• Design reference architectures, reusable patterns, and best practices for integrating GenAI into business applications
• Collaborate with domain leaders, data scientists, security and developers to align business requirements with scalable AI architectures
• Select and evaluate LLMs, vector databases, and orchestration frameworks based on performance, compliance, and cost trade-offs
• Architect RAG pipelines, agentic workflows, and multi-agent ecosystems for production-grade deployments
• Ensure security, privacy, and governance frameworks are embedded in AI systems from inception
• Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) and optimize for scalability and performance
• Guide teams in model lifecycle management, including deployment, monitoring, retraining, and drift handling (MLOps)
• Evaluate and recommend tools, frameworks, and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability
• Stay ahead of the curve on GenAI/AI advancements, regulations, and enterprise adoption trends, and translate them into actionable roadmaps

• Bachelor's/master's degree in computer science, Statistics, Engineering, or related field
• Proven experience as an AI/ML/GenAI Architect designing large-scale AI/ML systems
• Deep expertise in Python ecosystem, ML/DL frameworks (PyTorch, TensorFlow etc)
• Strong knowledge of LLM architectures, fine-tuning techniques (LoRA, PEFT, adapters), and deployment strategies
• Expertise in RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus etc.)
• Familiarity with agentic GenAI systems (LangChain, LlamaIndex, AutoGen, , LangGraph) and Model Context Protocol (MCP)
• Experience in cloud-native architecture (AWS, Azure) and container orchestration (Docker/Kubernetes)
• Solid understanding of MLOps principles: CI/CD for ML, observability, retraining pipelines, and model governance
• Strong ability to bridge business and technology, communicating complex AI strategies to stakeholders
• Deep understanding of Responsible AI principles and ability to embed governance, compliance, and ethical frameworks into GenAI solution design.
• Bonus: Experience in enterprise-scale AI adoption across Telecom industries

*AI ML Architect *

Location: Bangalore

Experience: 8+ Years

Your Role

As a AI ML Architect, you will own the end-to-end architecture of enterprise-scale AI systems. Youll collaborate across domains to design reference architectures, evaluate technologies, and guide implementation of production-grade GenAI solutions.

In this role, you will:

• Define and own the end-to-end architecture for enterprise-scale GenAI/AI solutions
• Design reference architectures, reusable patterns, and best practices for integrating GenAI into business applications
• Collaborate with domain leaders, data scientists, security experts, and developers to align business requirements with scalable AI architectures
• Select and evaluate LLMs, vector databases, and orchestration frameworks based on performance, compliance, and cost trade-offs
• Architect RAG pipelines, agentic workflows, and multi-agent ecosystems for production-grade deployments
• Ensure security, privacy, and governance frameworks are embedded in AI systems from inception
• Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) and optimize for scalability and performance
• Guide teams in model lifecycle management, including deployment, monitoring, retraining, and drift handling (MLOps)
• Evaluate and recommend tools, frameworks, and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability
• Stay ahead of GenAI/AI advancements, regulations, and enterprise adoption trends, and translate them into actionable roadmaps

Your Profile

• Bachelors or Masters degree in Computer Science, Data Science, or related field
• 8+ years of experience in AI/ML architecture and enterprise solution delivery
• Proven expertise in designing scalable GenAI systems and integrating LLMs into business applications
• Strong understanding of RAG pipelines, agentic workflows, and multi-agent orchestration
• Hands-on experience with GenAI frameworks (LangChain, LangGraph, MCP) and vector databases
• Familiarity with cloud-native AI platforms (Azure OpenAI, AWS Bedrock) and MLOps practices
• Deep knowledge of security, privacy, and governance in AI systems
• Excellent collaboration and communication skills across technical and business teams

Position Overview

We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures.

This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions.

Skills:

Technical Expertise

Very good Skills in Python, Pandas, NumPy, SQL

Excellent understanding of Machine Learning algorithms and metrics.

Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools.

Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud.

Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, , Microsoft Autogen etc.

Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop).

Architecture Design

Expertise in creating AI/ML solution blueprints and technical diagrams.

Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.

Excellent understanding in Gen AI frameworks and models.

Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2.

Prior experience in technical presales and building proposal

Domain Expertise

Preferred domain expertise in consumer/CPG/retail, supply chain

Soft Skills

Strong communication skills with the ability to present technical solutions to business leaders.

Proven ability to collaborate cross-functionally with technical and non-technical teams.

Problem-solving mindset with a focus on innovation and impact.

Role Description:

Solution Design & Architecture

Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors.

Develop comprehensive architecture diagrams and technology stacks tailored to business needs.

Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities.

Technical Implementation & Agentic Workflows

Design and implement agentic workflows using LLMs to automate decision-making and complex processes.

Build modular, scalable solutions that integrate with existing enterprise systems and tools.

Ensure solutions are aligned with MLOps practices for robust deployment and monitoring.

Prototyping & POCs

Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions.

Test and refine LLM-driven workflows and agent-based models to meet business objectives.

Presales

Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need

Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal

Role & responsibilities -

• Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges.
• Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance.
• Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads.
• Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning.
• Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools.
• Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production.
• Collaborate with engineering, data science, and product teams to align AI initiatives with business goals.
• Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle.
• Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks.

Preferred candidate profile -

• Education: Bachelors or Masters degree in Computer Science, AI, Data Science, or a related technical field.
• Experience: 4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments.
• Technical Expertise: Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus.
• Preferred Traits: Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases

Roles & Responsibilities
Key Responsibilities:

• Architect and design AI-powered full-stack applications using Java (Spring Boot), .NET Core, and Golang for backend services.
• Lead the integration of modern UI frameworks such as Angular, React, , or Blazor for responsive and intuitive front-end experiences.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Integrate AI/ML models into application workflows, ensuring seamless user interaction and backend processing.
• Define and implement microservices architecture, API gateways, and secure communication protocols.
• Establish best practices for DevOps, CI/CD pipelines, and cloud-native deployments.
• Ensure solutions meet enterprise standards for performance, security, and compliance.
• Mentor development teams and conduct architecture and code reviews.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8+ to 12 years of experience in software architecture and enterprise application development.
• Hands-on experience with Java (Spring Boot), .NET Core, and Golang.
• Strong understanding of AI/ML concepts, model lifecycle, and deployment (MLOps).
• Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
• Proficiency in Python for AI/ML development and integration.
• Familiarity with RESTful APIs, GraphQL, and asynchronous messaging systems.
• Excellent communication and stakeholder engagement skills.

Experience

• 12-14 Years

Skills

• Primary Skill: AI/ML Development
• Sub Skill(s): AI/ML Development
• Additional Skill(s): AWS-Apps, Azure-Apps, TensorFlow, Pytorch

About The Company
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.