Agentic AI Engineer

What you'll work on

Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI

Proficiency in Python and modern AI/ML frameworks, AWS

Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime

Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)

Roles & Responsibilities

Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.

Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment

Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime

Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs

Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda

Instrument agents with CloudWatch metrics, spans, and traces; enable audits

Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions

Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact

Required Skills & Experience

Strong problem-solving and strategic thinking abilities

Strong collaboration skills in research-driven environments

Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime

Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)

Proficiency in Python and modern AI/ML frameworks

Proficiency in vector databases and embedding models for retrieval tasks

Experience with Data Connectors and API gateways that support seamless communication between systems

Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets

Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation

Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI

Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms

Salary Range - $100000 to $125000

TCS Employee Benefits Summary

Discretionary Annual Incentive

Comprehensive Medical Coverage Medical and Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans

Family Support Maternal and Parental Leaves

Insurance Options Auto and Home Insurance, Identity Theft Protection.

Convenience and Professional Growth Commuter Benefits and Certification and Training Reimbursement.

Time Off Vacation, Time Off, Sick Leave and Holidays.

Legal and Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Location

Boston, MA

What we're looking for

Artificial Intelligence | AWS | Machine Learning | Python