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# SR AI Solution Architect

- **Company:** Akkodis group
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Information Systems, Data Security, Information Retrieval, Python (Programming Language), PostgreSQL, Systems Development Life Cycle, Software Engineering, Systems Integration, Enterprise Software Applications, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, AgentCore, Agentic-AI, Fastapi, Build Management, Pgvector, Kubernetes, Information Technology, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-ai-solution-architect-tampa-fl--95b6149b-0e2f-4a6c-8da8-55839df94259

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Information Technology & Information Systems, Artificial Intelligence (AI) Agents, Amazon Web Services (AWS), Software Agents, System Integration (SI), Cloud Computing, Scalable System Development, Information Retrieval, * Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical field.

 * 8-10+ years of experience in software engineering, cloud architecture, and enterprise application development.
 * Strong hands-on experience with AWS AgentCore, AWS Bedrock, Context Engineering, and Harness Engineering in production environments.
 * Proven expertise in Python, FastAPI, multi-agent orchestration frameworks (LangGraph/Strands), and enterprise AI solution delivery.

## Description

* Design and develop intelligent AI agents capable of reasoning, planning, and automating complex business workflows.
 * Build and deploy scalable agentic AI solutions using AWS AgentCore, AWS Bedrock, and cloud-native AWS services.
 * Develop enterprise knowledge retrieval and RAG pipelines using PostgreSQL, pgvector, and secure data governance practices.
 * Implement multi-agent orchestration, context management, and agent execution frameworks to ensure reliable performance.
 * Deploy and manage containerized applications on Amazon EKS using Docker, Kubernetes, and Helm.
 * Establish testing, monitoring, security, and observability standards to ensure reliable and production-ready AI systems.