Generative AI Architect

About the Role

As a highly skilled and experienced Senior AI, Machine Learning, and Automation Expert
, you will join a dynamic team at Tata Consultancy Services. The ideal candidate will possess a strong background in AI, machine learning, and automation technologies, with a proven track record of implementing and managing complex projects. This role demands a deep understanding of various AI and ML tools, as well as expertise in Dev Ops practices to ensure seamless integration and deployment of AI solutions.

• Define GenAI strategy and roadmap
  :
  Align GenAI initiatives with business priorities, identifying opportunities for high-value automation, augmentation, and transformation.
• Solution architecture ownership
  :
  Design secure, scalable, and cost-effective GenAI architectures using AWS Bedrock for model orchestration and integration.
• Tool & model evaluation
  :
  Select appropriate foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama, Stability AI) based on business use cases, data privacy, and latency needs.
• AI governance and compliance
  :
  Establish guardrails for responsible AI, data governance, and model lifecycle management in AWS environments.
• Architecture patterns
  :
  Define and enforce reusable architecture blueprints (e.g., RAG, agentic workflows, chat-with-enterprise-data patterns).

• AWS Bedrock expertise
  :
  Deploy and integrate foundation models using the Bedrock API. Configure model parameters, embeddings, and inference pipelines. Manage cross-model orchestration and multi-agent workflows.
• RAG implementation
  :
  Design retrieval-augmented generation pipelines using Amazon Kendra, Open Search, or vector databases (e.g., Pinecone, Weaviate, FAISS). Build context-aware conversational systems integrating enterprise data.
• Agent development
  :
  Create custom AI agents and copilots using AWS Bedrock Agents or Lang Chain with Bedrock integration. Leverage AWS Lambda, Step Functions, or Sage Maker for agent orchestration and automation.
• Integration and APIs
  :
  Build APIs and applications connecting Bedrock with AWS services like S3, Dynamo
  
  DB, Redshift, Aurora, and Event Bridge. Integrate GenAI features into enterprise tools (e.g., Service Now, Jira, Salesforce).
• Prompt engineering & tuning
  :
  Optimize prompt templates and chain-of-thought frameworks for model accuracy and reliability.
• Model customization
  :
  Fine-tune or adapt foundation models with domain-specific data via Bedrock or Sage Maker.

• Lead cross-functional AI delivery teams (data engineers, ML engineers, cloud architects, developers).
• Translate business needs into AI solutions with clear ROI, feasibility, and delivery timelines.
• Mentor and enable engineers on AWS Bedrock and GenAI frameworks (Lang Chain, Semantic Kernel, Llama Index).
• Communicate technical strategy to senior leadership, articulating value and innovation.
• Drive PoCs and pilots to production-grade AI systems across use cases like knowledge assistants, automation bots, or predictive analytics.

• Proficiency in programming languages such as Python and Node.js
  .
• Expertise in AI and ML frameworks:
  Tensor Flow
  , Py Torch ,
  scikit-learn
  .
• Experience with RPA tools:
  Ui Path ,
  Automation Anywhere
  , Blue Prism
  .
• Knowledge of Dev Ops tools:
  Jenkins
  , Docker
  , Kubernetes
  , Terraform
  , Ansible
  .
• Familiarity with cloud platforms:
  AWS
  , Azure
  , Google Cloud
  .
• Experience in using Gen AI APIs and libraries.

• Minimum 8 years of total experience.
• Minimum 4 years of programming experience.
• Proven track record of successfully delivering complex AI (Gen AI) and automation projects.
• Strong understanding of Dev Ops practices and tools.

• Design, develop, and implement advanced AI and ML models using frameworks such as Tensor Flow
  , Py Torch , and scikit-learn
  .
• Conduct research and stay updated with the latest advancements in AI and ML technologies.
• Collaborate with data scientists and engineers to build and deploy scalable AI solutions.

• Develop and maintain automation scripts and tools to streamline workflows and improve efficiency.
• Implement…