Sr Generative AI Platform Engineer | Hybrid Jacksonville, FL
Job Location:
Jacksonville, FL - USA
Monthly Salary:
Not provided by the employer
Posted:
22 October 2026 (3 days ago)
Application Deadline:
19 January 2027
Vacancies:
1 Vacancy
Job Summary
SR GENERATIVE AI PLATFORM ENGINEER HYBRID JACKSONVILLE FL
ARC Group has an immediate opportunity for an Sr Generative AI Platform Engineer with Python and Java development experience! This is a contract position running through March 2027 with potential to extend longer or possibly convert to FTE. This is a hybrid position in Jacksonville FL working onsite 2-3 days/week and remotely the other days. This is a fantastic opportunity to join a well-respected healthcare organization with excellent career growth potential.
At ARC Group we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply.
Candidates must currently have PERMANENT US work authorization. Sorry but we are not considering any candidates from outside companies for this position (no C2C 3rd party / brokering).
JOB SUMMARY:
We are seeking an experienced Senior Generative AI / Platform Engineer to lead the architecture development and scaling of our clients next-generation AI orchestration this role you will bridge the gap between cutting-edge AI research and robust enterprise infrastructure.
This resource 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.
The ideal candidate possesses deep expertise in Python for AI/LLM orchestration a strong backend foundation in Java (Spring Boot) and proven experience deploying and managing containerized workloads across a hybrid-cloud topology consisting of on-premises Red Hat OpenShift and Amazon Web Services (AWS).
Core Responsibilities:
Preferred Qualifications
Required Work Experience:
5 years related work experience Professional experience with technical design and coding in the IT industry
Required Education:
Related Bachelors degree or additional related work experience
Would you like to know more about our new opportunity For immediate consideration please send your resume directly to John Burke at or apply online while viewing all of our open positions at .
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidates and clients needs and goals and serving both with integrity and a shared desire to succeed.
At ARC Group we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race ethnicity religion gender identity sexual orientation age disability or any other protected status. If you require accommodations during the recruitment process please let us know.
Position is offered with no fee to candidate.
ARC Group has an immediate opportunity for an Sr Generative AI Platform Engineer with Python and Java development experience! This is a contract position running through March 2027 with potential to extend longer or possibly convert to FTE. This is a hybrid position in Jacksonville FL working onsite 2-3 days/week and remotely the other days. This is a fantastic opportunity to join a well-respected healthcare organization with excellent career growth potential.
At ARC Group we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply.
Candidates must currently have PERMANENT US work authorization. Sorry but we are not considering any candidates from outside companies for this position (no C2C 3rd party / brokering).
JOB SUMMARY:
We are seeking an experienced Senior Generative AI / Platform Engineer to lead the architecture development and scaling of our clients next-generation AI orchestration this role you will bridge the gap between cutting-edge AI research and robust enterprise infrastructure.
This resource 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.
The ideal candidate possesses deep expertise in Python for AI/LLM orchestration a strong backend foundation in Java (Spring Boot) and proven experience deploying and managing containerized workloads across a hybrid-cloud topology consisting of on-premises Red Hat OpenShift and Amazon Web Services (AWS).
Core Responsibilities:
- 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.
- Hybrid Cloud & Container Orchestration: Red Hat OpenShift: Deep hands-on experience deploying managing and troubleshooting containerized enterprise applications in an on-premises OpenShift environment (including managing security contexts routes and cluster resources).
- AWS Platform: Strong expertise with core AWS infrastructure and AI/ML services (e.g. IAM VPC Amazon Bedrock EKS RDS). Dual-Stack Mastery (Python & Java): Python: Expert-level proficiency for AI/ML tasks asynchronous programming and data engineering. Java: Deep experience building distributed microservices utilizing the Spring Boot ecosystem (Spring Web Spring Security Spring Data).
- Generative AI Frameworks: Practical experience with orchestrating frameworks such as LangChain LlamaIndex LangGraph AutoGen CrewAI LangChain4j or Spring AI.
- Advanced RAG Stack: Experience with vector databases (e.g. Pinecone Qdrant Milvus pgvector) alongside dedicated reranking APIs (such as Cohere Rerank BGE or open-source cross-encoders).
- Protocols & Standards: Solid understanding of MCP (Model Context Protocol) or experience building universal API layer abstractions for LLM tool utilization. MLOps DevSecOps & Observability: Familiarity with LLM evaluation frameworks CI/CD pipelines targeting OpenShift/AWS and enterprise observability tools (e.g. Prometheus Grafana OpenTelemetry LangSmith).
Preferred Qualifications
- Experience configuring on-prem OpenShift clusters with GPU acceleration (NVIDIA GPU Operator) for local LLM or embedding model hosting.
- Relevant certifications such as Red Hat Certified Specialist in OpenShift or AWS Certified Solutions Architect / Machine Learning Specialty.
- Active contribution to open-source GenAI projects MCP servers or multi-agent ecosystem tools.
Required Work Experience:
5 years related work experience Professional experience with technical design and coding in the IT industry
Required Education:
Related Bachelors degree or additional related work experience
Would you like to know more about our new opportunity For immediate consideration please send your resume directly to John Burke at or apply online while viewing all of our open positions at .
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidates and clients needs and goals and serving both with integrity and a shared desire to succeed.
At ARC Group we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race ethnicity religion gender identity sexual orientation age disability or any other protected status. If you require accommodations during the recruitment process please let us know.
Position is offered with no fee to candidate.
Required Experience:
Senior IC
About Company
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