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(Employer Name Not Available)

GenAI Platfrom Engineer

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Job Description

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GenAI Platfrom Engineer HybridHealthcare Providers Job ID:

26-02508 Last updated: 10 hours ago

Location:

Jacksonville, FL Software Guidance & Assistance, Inc., (SGA), is searching for a GenAI Platfrom Engineer for a contract assignment with one of our premier Healthcare Services clients in Jacksonville, FL. Hybrid 2-3 days per week in Jacksonville Office.

• Responsibilities

• : Seeking an experienced Senior Generative AI / Platform Engineer to lead the architecture, development, and scaling of our next-generation AI orchestration platform. In this role, you will bridge the gap between cutting-edge AI research and robust enterprise infrastructure. You will be responsible for designing advanced Retrieval-Augmented Generation (RAG) pipelines, building resilient AI Agents, implementing cutting-edge interoperability protocols like MCP, and pioneering multi-agent (Agent-to-Agent) collaboration networks.

•

Hybrid Cloud Infrastructure & Deployment:

Architect, deploy, and scale GenAI services, vector databases, and model gateways across a hybrid environment utilizing on-premises Red Hat OpenShift and public cloud services in AWS (e.g., EKS, Bedrock, EC2).

•

Advanced RAG & Retrieval Optimization:

Design and optimize enterprise RAG pipelines.

• Implement advanced retrieval strategies, including hybrid search (vector + lexical) and high-precision reranking workflows (using cross-encoders) to minimize LLM context noise, optimize token usage, and eliminate hallucinations.

•

Agentic Systems & Tool Orchestration:

Build, deploy, and monitor production-grade AI Agents capable of autonomous planning, tool usage, complex multi-step reasoning, and self-correction.

•

Context Integration & Interoperability:

Architect scalable integrations between LLMs and enterprise data silos using the Model Context Protocol (MCP), establishing clean, standardized interfaces for tool servers and data sources.

• Multi-Agent Networks (A2A): Design and implement Agent-to-Agent (A2A) collaboration systems, enabling specialized, decoupled agents to communicate, delegate tasks, and negotiate state synchronously or asynchronously.

•

Enterprise Integration & Backend Development:

Build secure, high-throughput, and fault-tolerant microservices in Java/Spring Boot to serve GenAI features, manage data orchestration, and expose robust endpoints.