17,075 AI Architect jobs in India

Publication Date: Jun 24, 2025

Ref. No:

Location:
Bangalore, IN

The future is our choice

At Atos, as the global leader in secure and decarbonized digital, our purpose is to help design the future of the information space. Together we bring the diversity of our people's skills and backgrounds to make the right choices with our clients, for our company and for our own futures.

Position: Senior AI Architect – AI Factory (MLOps, GenOps)

Experience: 20+ years of total IT experience with a minimum of 10 years in AI/ML. Proven experience in building scalable AI platforms or "AI Factories" for productionizing machine learning and generative AI workflows, including strong hands-on expertise in MLOps and emerging GenOps practices.

Location: Bangalore / Pune on case-to-case basis

Role Summary:

We are looking for a Senior AI Architect to lead the design and implementation of a next-generation AI Factory platform that streamlines the development, deployment, monitoring, and reuse of AI/ML and GenAI assets. This role will be instrumental in establishing scalable MLOps and GenOps practices, building reusable components, standardizing pipelines, and enabling cross-industry solutioning for pre-sales and delivery. The candidate will work closely with the AI Practice Head, contributing to both business enablement and technical strategy while supporting customer engagements, RFP/RFI responses, PoCs, and accelerator development.

Key Responsibilities:

• Architect and build the AI Factory — a central repository of reusable AI/ML models, GenAI prompts, agents, pipelines, APIs, and accelerators.

• Define and implement MLOps workflows for versioning, model training, deployment, CI/CD, monitoring, and governance.

• Design and integrate GenOps pipelines for prompt engineering, LLM orchestration, evaluation, and optimization.

• Create blueprints and templates for standardized AI solution delivery across cloud platforms (Azure, AWS, GCP).

• Build accelerators and reusable modules to speed up AI solutioning for common use cases (e.g., chatbots, summarization, document intelligence).

• Enable pre-sales and solution teams with reusable assets for demos, PoCs, and customer presentations.

• Contribute to RFP/RFI responses with scalable, production-ready AI factory strategies and architectural documentation.

• Collaborate with data engineering, DevOps, cloud, and security teams to ensure robust and enterprise-compliant AI solution delivery. Required Skills:

• Deep experience in MLOps tools like MLflow, Kubeflow, SageMaker Pipelines, Azure ML Pipelines, or Vertex AI Pipelines.

• Understanding of GenOps frameworks including prompt flow management, LLM evaluation (e.g., TruLens, Ragas), and orchestration (LangChain, LlamaIndex, Semantic Kernel).

• Strong command of Python, YAML/JSON, and API integration for scalable AI component development.

• Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), containerization (Docker, Kubernetes), and model registries.

• Familiar with model observability, drift detection, automated retraining, and model versioning.

• Ability to create clean, reusable architecture artifacts and professional PowerPoint decks for customer and internal presentations.

Preferred Qualifications:

• Experience in building and managing an enterprise-wide AI marketplace or model catalog.

• Familiarity with LLMOps platforms (e.g., Weights & Biases, PromptLayer, Arize AI).

• Exposure to multi-cloud GenAI architectures and hybrid deployment models.

• Cloud certifications in AI/ML from any major provider (AWS, Azure, GCP).

Soft Skills:

• Strong leadership and mentoring capabilities.

• Effective communication and storytelling skills for technical and non-technical audiences.

• Innovation mindset with a passion for automation and efficiency.

• Comfortable working in a fast-paced, cross-functional environment with shifting priorities.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.

About the Role

We are seeking a seasoned
AI Architect
with
10+ years of experience
in designing and delivering scalable AI/ML solutions in production environments. The ideal candidate will have
hands-on experience with Graph Databases
like
Neo4j, AWS Neptune, or MemGraph
and be capable of proposing end-to-end architecture and solutions tailored to complex business needs.

You will play a
strategic role
, working closely with product and engineering teams to define and implement graph-based AI solutions at scale.

Key Responsibilities

• Design and architect AI/ML systems leveraging Graph Databases (Neo4j, AWS Neptune, or MemGraph) in production.
• Analyze existing systems and propose scalable, performant solutions that align with business goals.
• Evaluate various graph technologies and recommend the best fit for the use case.
• Build PoCs, technical prototypes, and production-grade AI pipelines integrating graph technologies.
• Collaborate with data scientists, ML engineers, and backend developers for seamless integration of AI models.
• Define data modeling strategies for graph databases, including ontology/taxonomy design.
• Establish best practices, documentation, and governance models for graph-based AI systems.

Must-Have Skills

• 10+ years of experience in AI/ML solution architecture or enterprise-level software development.
• Strong production experience with at least one graph database:
  Neo4j, AWS Neptune, or MemGraph
  .
• Proven ability to design AI/ML solutions integrated with graph data modeling.
• Deep understanding of data structures, algorithms, and distributed systems.
• Hands-on experience with Python, Java, or Scala in AI/ML contexts.
• Ability to drive technical discussions and lead architectural decisions independently.

Role Overview
We are seeking a highly skilled and visionary AI Solution Designer & Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms. This role requires deep expertise in Generative AI, LLMs, Agentic AI, and MLOps, with a focus on building scalable, production-ready enterprise systems.

Key Responsibilities

• Architect and implement enterprise-scale AI/ML solutions, including Generative AI, Agentic systems, and LLM applications (fine-tuning included).
• Design and deploy intelligent AI agents using frameworks such as LangChain & LangGraph to enhance user experience and operational efficiency.
• Build and optimize NLP/document processing pipelines using GCP and Azure tech stacks.
• Lead development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.
• Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.
• Develop and deploy models using PyTorch, MLFlow, and FastAPI.
• Implement scalable ML infrastructure with Kubernetes and CI/CD automation (GitHub Actions).
• Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.

Required Skills & Technologies

• AI/ML Tools : LangChain, LangGraph, PyTorch, MLFlow, FastAPI
• Cloud Platforms : GCP Vertex AI, Azure AI Foundry, Kubernetes
• DevOps & Automation : GitHub Actions
• Strong expertise in Generative AI, LLMs, and Agentic AI

Qualifications

• Bachelors degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in IT systems and AI/ML solution delivery.
• Proven track record in designing and deploying enterprise-scale AI solutions.
• Strong understanding of cloud-native architectures and scalable AI (Preferred) :
• GCP and/or Azure certifications.

)

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.

We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices.

Key Responsibilities

AI Solution Design & Implementation

Architect end-to-end AI systems leveraging large language models and generative AI technologies

Design scalable, production-ready AI applications that meet business objectives and performance requirements

Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.)

Establish best practices for prompt engineering, model selection, and AI system optimization

Model Development & Fine-tuning

Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases

Implement custom training pipelines and evaluation frameworks

Optimize model performance, latency, and cost for production environments

Stay current with latest model architectures and fine-tuning techniques

Infrastructure & Deployment

Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes)

Build robust, scalable APIs using FastAPI and similar frameworks

Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment

Ensure high availability, security, and performance of AI systems in production

Business & Technical Leadership

Collaborate with stakeholders to understand business problems and translate them into technical requirements

Provide technical guidance and mentorship to development teams

Conduct feasibility assessments and technical due diligence for AI initiatives

Create technical documentation, architectural diagrams, and implementation roadmaps

Required Qualifications

Experience

7+ years of experience in machine learning engineering or data science

Proven track record of delivering large-scale ML solutions

Technical Skills

Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.)

Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.)

Strong proficiency in FastAPI, Docker, and Kubernetes

Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)

Proficiency in Python and modern software development practices

Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services

Core Competencies

Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques

Experience with MLOps tools and practices (model versioning, monitoring, CI/CD)

Ability to translate complex business requirements into technical solutions

Strong problem-solving skills and architectural thinking

Preferred Qualifications

Experience with vector databases and retrieval-augmented generation (RAG) systems

Knowledge of distributed training and model parallelization techniques

Experience with model quantization and optimization for edge deployment

Familiarity with AI safety, alignment, and responsible AI practices

Experience in specific domains (finance, healthcare, legal, etc.)

Advanced degree in Computer Science, AI/ML, or related field

AI Architect

Business Group: EEEC

Primary Work Location: Pune

Job Summary:

We are seeking a highly experienced AI Solutions Architect with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI (GenAI). This role involves leading the design, development and deployment of scalable AI/ML solutions and tools with a strong focus on innovative architectures. The ideal candidate will collaborate across teams to deliver high-performance AI systems aligned with business objectives and future scalability. In this Role, Your Responsibilities Will Be:

• Design and implement full-stack scalable AI/ML systems integrating frontend (React/Angular), backend ), RESTful APIs, RAG and agentic frameworks (LangChain, AutoGen).
• Architect distributed, microservice-based AI pipelines using event-driven architectures and containerized deployments on Azure and AWS (secondary).
• Advanced ML/DL models including GPT, BERT, CNNs, RNNs, GANs for NLP, computer vision, and multimodal applications.
• Engineer prompt-based systems using retrieval-augmented generation (RAG), few-shot learning, and prompt tuning to optimize LLM performance.
• Lead data preprocessing workflows with Spark, Pandas, and MLFlow, including feature engineering and data augmentation.
• Model observability frameworks for drift detection, performance monitoring, and lifecycle management using tools like Prometheus and Grafana.
• Apply model optimization techniques such as quantization, pruning for real-time, low-latency inference.
• Enforce AI/ML system security by integrating data protection protocols, implementing role-based access control (RBAC), encryption standards (TLS, AES), and ensuring compliance with regulatory frameworks such as GDPR, HIPAA, and ISO/IEC 27001 through automated policy enforcement and audit logging.
• Ensure AI security, governance through bias mitigation, explainability and secure deployment aligned with compliance standards.
• Conduct technical feasibility assessments, PoCs, and infrastructure cost estimation with risk analysis.
• Lead AI architecture with cross-functional collaboration, Agile execution, and continuous innovation while maintaining technical excellence and comprehensive documentation.
• Exceptional ability to articulate complex AI and technical concepts with clarity, enabling effective communication across technical and non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field with 10+ years in AI/ML architecture and enterprise-grade solution delivery.
• Over 5 years of specialized experience in architecting and deploying AI/ML systems, with a demonstrated history of delivering production-grade solutions across diverse use cases.
• Hands-on experience with agentic frameworks (LangChain, AutoGen), prompt engineering, and scalable LLM deployment.
• Strong expertise in GenAI, Machine Learning, Data Science, transformer models (GPT, BERT), deep learning (CNNs, RNNs, GANs), and multimodal AI systems.
• Proficient in Python and ML/DL frameworks like TensorFlow, PyTorch, Hugging Face, and MLFlow.
• Skilled in designing distributed AI pipelines using microservices, containerization (Docker, Kubernetes) and cloud platforms (Azure, AWS-secondary).
• Deep understanding of data engineering, CI/CD automation, model observability, and performance optimization.
• Specialized in AI security including adversarial robustness, federated learning, encryption standards, and regulatory compliance.
• Proven leadership in Agile environments, technical mentoring, and translating business needs into scalable AI architectures.
• Passionate about innovation with a track record of integrating emerging AI technologies into production-ready systems.

Preferred Skills:

• Proven experience in developing AI-powered solutions across industries.
• Strong understanding of MLOps practices, CI/CD pipelines, and Azure DevOps for scalable AI deployment.
• Solution Architect Certifications is plus advantage like AZ-305: Azure Solutions Architect Expert, AWS Certified Solutions Architect.
• Deep knowledge of secure and ethical AI design, including data privacy regulations and responsible AI principles.
• Demonstrated success in leading GenAI/ML projects from concept to production with measurable impact.
• Advanced problem-solving and analytical skills for translating complex challenges into efficient AI solutions.
• Excellent communication and collaboration abilities to bridge technical and non-technical stakeholders.

Job Type: Full-time

Pay: ₹401, ₹1,500,000.00 per year

Experience:

• AI Architect: 6 years (Preferred)

Work Location: In person