Agentic AI Engineer
- Location
- Minneapolis, Minnesota, United States
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions using AWS technologies, MCP servers, model gateways, and multi-agent architectures. The ideal candidate will have strong hands-on expertise in Python, AWS Bedrock, agent orchestration, and enterprise GenAI implementations, along with experience delivering large-scale AI solutions for Fortune 500 organizations. • Key Responsibilities & Daily Duties - Design, build, and deploy enterprise-grade AI solutions using AWS technologies, MCP servers, model gateways, and multi-agent architectures. - Architect and implement agent frameworks and tool orchestration. - Integrate generative AI models, LLMs, AWS Bedrock Knowledge Bases, and Knowledge Graphs. - Work with NoSQL databases including DynamoDB and Redis. - Establish AI governance, security guardrails, and observability for enterprise deployments. - Deliver enterprise-scale AI solutions. • Required Qualifications, Skills & Experience - Experience: 8+ Years of relevant professional experience. - Agentic AI Engineering & Multi-Agent Systems. - AWS Bedrock & AgentCore Gateway. - MCP Servers (Model Context Protocol). - Model Gateway Architecture. - Agent Frameworks & Tool Orchestration. - Python Development. - Generative AI & LLM Integration. - AWS Bedrock Knowledge Bases & Knowledge Graphs. - DynamoDB, Redis & NoSQL Databases. - AI Governance, Security Guardrails & Observability. - Enterprise-Scale AI Solution Delivery for Fortune 500 organizations. • Working Hours, Shifts & Location Details - Location: Minneapolis, MN. - Work Arrangement: Day 1 Onsite (Local candidates only). - Interview Format: Face-to-Face (F2F) interview is mandatory. - Duration: Long-Term Contract (C2C / Contract). • Compensation & Benefits - Long-term contractual engagement. • Application Instructions - Interested candidates should submit an updated resume along with current location, work authorization status, and availability.