Hands-on AI/LLM Technology Architect responsible for designing, building and operationalizing enterprise-grade GenAI and Agentic AI solutions on AWS. Work on LLM applications, RAG pipelines, multi-agent workflows and secure AI platform integrations.

Key Responsibilities:
Design and build LLM applications, prompts, tools, agents, orchestration and evaluation frameworks.
Develop GenAI solutions using Amazon Bedrock, Bedrock Agents/AgentCore and AWS serverless services.
Build secure RAG pipelines using S3, OpenSearch, Knowledge Bases, embeddings and vector search.
Integrate enterprise APIs using Lambda, API Gateway and Step Functions.
Implement AI security, governance, guardrails, PII protection, authentication and audit controls.
Collaborate with architects, data engineers and business stakeholders to deliver production-ready AI solutions.

Required Skills:
5+ years of software/data/AI engineering experience.
Robust hands-on experience with AWS AI Services, especially Amazon Bedrock.




Experience with LLMs, GenAI, Agentic AI and RAG.
Solid Python and API development skills.
Hands-on experience with Bedrock Agents/AgentCore, Knowledge Bases, Guardrails, Lambda, API Gateway, Step Functions, OpenSearch, SageMaker, IAM, VPC, KMS, CloudWatch and S3.
Knowledge of embeddings, vector databases, prompt engineering, tool/function calling and LLM evaluation.
Experience with CI/CD, Git, Infrastructure-as-Code, testing, observability and secure SDLC.
Exposure to banking, insurance, healthcare, retail, telecom or capital markets is preferred.

Valuable to Have:
AWS Solutions Architect/ML Specialty certification, Terraform/CDK, EKS, LangChain/LangGraph/LlamaIndex, MLflow, FastAPI, Docker/Kubernetes, Responsible AI and GenAI cost optimization.

Education: 15 years full-time educati

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📌 Aws Engineer Hyderabad (India)
🏢 Logic planet
📍 India