Job Title:- AI Platform Engineer

We are looking for an experienced AI Platform Engineer to support enterprise AI platform enablement, governance, and automation. The ideal candidate will have expertise in Generative AI, AWS, Python, AI Platform Engineering, and enterprise security/compliance, with experience implementing AI controls, supporting AI users, and optimizing platform usage and costs., * Enable and support enterprise AI platforms (Open AI, Claude, Gemini, Bedrock).

• Implement AI security controls, governance, IAM policies, and compliance guardrails.
• Build AI platform capabilities using Python, AWS, Agentic AI, MCP, and Graph/RAG.
• Automate infrastructure and platform provisioning using Terraform and Docker.
• Manage AI platform costs, token usage, quotas, and monitoring.
• Provide technical support for AI users, agents, APIs, and MCP integrations.
• Collaborate with Security, Risk, Compliance, and Engineering teams.
• Create documentation, runbooks, and onboarding guides.

6+ years of Software/Platform Engineering experience 1+ years of AI Platform or Generative AI experience Python (Boto3, Pandas, NumPy) AWS (Bedrock, EKS, Lambda, Fargate, Athena, Glue, EC2) Generative AI: GPT, Claude, Gemini, LLaMA Agentic AI, MCP, Graph/RAG, LLM Pipelines IAM, Security Controls, Logging & Compliance Terraform, Docker, Infrastructure as Code Vector Databases (PGVector, Neo4j, Weaviate, Milvus) DevSecOps, Agile, Jira & Confluence Strong communication and stakeholder management

Nice to Have

• Quick Sight or Tableau
• Financial Services domain experience
• AI Cost Management & Governance