TCS Is Hiring for Amazon Bedrock Agentcore Senior Developer.

TCS Is Hiring for Amazon Bedrock Agentcore Senior Developer.
Role: Amazon Bedrock Agentcore Senior Developer
Location: Pan India
Shift Timing: Should be flexible with Rotational/Night Shift.
Experience: 5- 10 Years
Education:
Minimum 15 years of regular, full-time education (10 + 2 + 3). (B.Tech preferred)
AWS Certifications (Solutions Architect / AI-ML / DevOps)
Job Role
We are hiring an experienced Agentic Automation Technical Lead to design and deliver enterprise-scale AI agent solutions using Amazon Bedrock and AgentCore. The role focuses on building intelligent automation systems where AI agents can reason, plan, interact with enterprise tools, and execute workflows autonomously.
Amazon Bedrock AgentCore provides enterprise-grade capabilities including secure runtime, memory, tool integration (Gateway), identity, observability, and scalable deployment, enabling production-ready AI agents.
Skills:
Strong expertise in AWS (IAM, Lambda, APIs, CloudWatch, security)
Experience in building LLM-based solutions / AI agents / automation platforms
Proficiency in Python and API-based integrations
Experience with agent frameworks (e.g., LangGraph, CrewAI, LlamaIndex, AutoGen)
Strong understanding of system integration, orchestration, and workflow automation
Knowledge of cloud security, identity management, and production operations
Hands-on experience with Amazon Bedrock / AgentCore services (Runtime, Memory, Gateway, Identity, Observability)
Experience with multi-agent architectures and orchestration patterns .
Familiarity with MCP, agent-to-agent protocols, and AI governance frameworks
Strong solution architecture and technical leadership
Ability to translate business needs into AI-driven automation solutions
Expertise in scalable, secure, and production-ready system design
Excellent stakeholder communication and team mentoring skills
Responsibilities:
Lead architecture and implementation of agentic automation solutions using AWS Bedrock and AgentCore.
Design AI agents and multi-agent workflows for business process automation and enterprise use cases.
Integrate agents with enterprise systems via APIs, Lambda, and tool frameworks (Gateway).
Implement memory-driven agents (short-term and long-term context awareness).
Define deployment of pipelines using AgentCore CLI, SDKs, and CI/CD practices.
Ensure security, governance, and policy-based controls for agent actions and tool access.
Establish observability, monitoring, and performance optimization using CloudWatch and telemetry.
Mentor engineering teams and drive best practices for agent design, deployment, and operations.

Work arrangement
No