Sr AI Developer

Senior AI Developer – AWS / Agentic AI / Intelligent Document Processing

ARC Group is recruiting for a Senior AI Developer with a Fortune 500 company headquartered in Jacksonville, Florida. This is an opportunity to help build the next generation of intelligent unstructured data management and Intelligent Document Processing (IDP) solutions at enterprise scale. This is a highly technical, hands-on role for an experienced AI/software engineer who can design, develop, and deploy cloud-native AI solutions across the full development lifecycle.

You will work at the intersection of AI engineering, backend development, cloud architecture, and enterprise data management to deliver transformative solutions for unstructured data. The environment includes AWS, Amazon Bedrock, S3, Snowflake, Agent Core, Lang Graph, MCP, A2A frameworks, vector databases, and workflow orchestration technologies. The ideal candidate has actually built and deployed production AI solutions and can connect modern AI capabilities with enterprise-grade backend services, data platforms, security, and workflow automation.

• AI & Intelligent Document Processing: Design and develop AI-powered solutions that ingest, classify, extract, enrich, and route information from unstructured documents and data.
• Agentic AI Development: Build and integrate autonomous AI agents using technologies such as AWS Agent Core, Lang Graph, MCP, and A2A frameworks.
• AWS Cloud Architecture: Develop secure, scalable cloud-native solutions using AWS, S3, compute services, networking, and Amazon Bedrock.
• Backend Development: Build production-grade APIs, microservices, synchronous/asynchronous services, and event-driven applications.
• Workflow Orchestration: Design and implement reliable, auditable workflows using AWS Step Functions, Airflow, Temporal, or comparable orchestration technologies.
• Data & AI Platforms: Develop solutions leveraging Snowflake, vector databases, RAG architectures, and enterprise data pipelines.
• LLM & Foundation Models: Apply LLMs, foundation models, prompt engineering, embeddings, retrieval, and other modern AI techniques.
• Data Governance & Security: Implement data cataloging, lineage, retention, protection, and governance practices with a strong focus on security and HIPAA compliance.
• Enterprise Integration: Develop solutions integrating AI agents, automation platforms, data services, and downstream enterprise applications.
• Collaboration & Mentorship: Work with data engineers, architects, platform teams, and business stakeholders while mentoring junior engineers.

• 5+ years of professional software development experience, including at least 2 years focused on AI/ML, generative AI, or data engineering in production environments.
• Strong experience developing backend services, APIs, microservices, or event-driven applications.
• Hands-on experience with AWS, including S3 and EC2 or comparable AWS compute services.
• Experience with Snowflake or a comparable modern cloud data platform.
• Production experience with AI/ML development and deployment, including LLMs, foundation models, prompt engineering, RAG, and agentic AI.
• Experience with workflow orchestration using AWS Step Functions, Apache Airflow, Temporal, or similar technologies.
• Strong understanding of data modeling, data pipelines, data quality, and data governance.
• Experience with CI/CD, automated testing, code reviews, security, and production support.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.

Hands-on professional experience with the following technologies is strongly preferred:

• AWS
• Amazon S3
• Amazon Bedrock
• AWS Agent Core
• MCP (Model Context Protocol)
• A2A / Agent-to-Agent Frameworks
• Vector Databases
• Snowflake
• Workflow Orchestration / Workflow Development
• LLMs / Generative AI
• RAG / Retrieval-Augmented Generation
• Backend/API Development

• Direct experience developing Intelligent Document Processing (IDP) solutions.
• Experience with OCR, ICR, NLP, information extraction, document classification, or document understanding.
• Hands-on experience…