Tata Consultancy Services
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AI Architect
role at
Tata Consultancy Services .
Job Description Hands-on expertise with:
Large Language Models (LLMs) and agent frameworks (LangChain, CrewAI, AutoGen, or similar)
RAG (Retrieval-Augmented Generation) architectures and vector databases
Prompt engineering and tool integration using APIs, knowledge graphs, or plugins
Model deployment via Azure AI Foundry, AWS Bedrock, Anthropic Claude, or similar platforms
Containerization and CI/CD pipelines for AI (Docker, Kubernetes, MLflow)
Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, FastAPI, or Streamlit.
Proven ability to translate business goals into AI architecture and measurable outcomes.
Experience in Agentic AI systems, including autonomous agents, multi-agent collaboration, or AI orchestration frameworks.
Experience building AI copilots, assistants, or domain-specific agents for enterprise functions (e.g., IT ops, HR, manufacturing, or customer support).
Ability to work across different hyperscaler platforms such as AWS Bedrock, Azure Foundry, GCP Vertex AI etc.
Roles & Responsibilities
Design AI solutions and end‑to‑end AI architectures integrating LLMs, multi‑agent frameworks, RAG pipelines, and workflow orchestration.
Define scalable and secure architectures for Gen AI and Agentic AI applications, including prompt‑driven systems, autonomous agents, and AI copilots.
Design intelligent modular architecture using MCP, A2A, Autogen etc.
Lead technical evaluations and selection of models (e.g., GPT, Claude, Gemini, LLaMA, Mistral) and vector databases.
Develop the AI technology roadmap aligned with organizational goals and data strategy.
Identify opportunities to embed AI across business workflows, improving efficiency, experience, and decision‑making.
Partner with engineering teams to operationalize AI models using LangChain, LlamaIndex, Vercel AI SDK, or similar frameworks.
Establish guardrails for model safety, prompt reliability, and ethical AI governance.
Define MLOps and AIOps practices for continuous improvement, monitoring, and lifecycle management of AI solutions.
Evaluate and prototype new tools and techniques in autonomous agents, synthetic data generation, multi‑modal models, and AI orchestration.
Collaborate with product and business teams to conceptualize AI‑powered assistants, copilots, and automation flows.
Provide technical leadership to data scientists, prompt engineers, and AI developers, promoting a culture of innovation, experimentation, and measurable business impact through AI.
Base Salary $130,000 - $150,000 per annum
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications BACHELOR OF COMPUTER SCIENCE
#J-18808-Ljbffr
AI Architect
role at
Tata Consultancy Services .
Job Description Hands-on expertise with:
Large Language Models (LLMs) and agent frameworks (LangChain, CrewAI, AutoGen, or similar)
RAG (Retrieval-Augmented Generation) architectures and vector databases
Prompt engineering and tool integration using APIs, knowledge graphs, or plugins
Model deployment via Azure AI Foundry, AWS Bedrock, Anthropic Claude, or similar platforms
Containerization and CI/CD pipelines for AI (Docker, Kubernetes, MLflow)
Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, FastAPI, or Streamlit.
Proven ability to translate business goals into AI architecture and measurable outcomes.
Experience in Agentic AI systems, including autonomous agents, multi-agent collaboration, or AI orchestration frameworks.
Experience building AI copilots, assistants, or domain-specific agents for enterprise functions (e.g., IT ops, HR, manufacturing, or customer support).
Ability to work across different hyperscaler platforms such as AWS Bedrock, Azure Foundry, GCP Vertex AI etc.
Roles & Responsibilities
Design AI solutions and end‑to‑end AI architectures integrating LLMs, multi‑agent frameworks, RAG pipelines, and workflow orchestration.
Define scalable and secure architectures for Gen AI and Agentic AI applications, including prompt‑driven systems, autonomous agents, and AI copilots.
Design intelligent modular architecture using MCP, A2A, Autogen etc.
Lead technical evaluations and selection of models (e.g., GPT, Claude, Gemini, LLaMA, Mistral) and vector databases.
Develop the AI technology roadmap aligned with organizational goals and data strategy.
Identify opportunities to embed AI across business workflows, improving efficiency, experience, and decision‑making.
Partner with engineering teams to operationalize AI models using LangChain, LlamaIndex, Vercel AI SDK, or similar frameworks.
Establish guardrails for model safety, prompt reliability, and ethical AI governance.
Define MLOps and AIOps practices for continuous improvement, monitoring, and lifecycle management of AI solutions.
Evaluate and prototype new tools and techniques in autonomous agents, synthetic data generation, multi‑modal models, and AI orchestration.
Collaborate with product and business teams to conceptualize AI‑powered assistants, copilots, and automation flows.
Provide technical leadership to data scientists, prompt engineers, and AI developers, promoting a culture of innovation, experimentation, and measurable business impact through AI.
Base Salary $130,000 - $150,000 per annum
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications BACHELOR OF COMPUTER SCIENCE
#J-18808-Ljbffr