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Sr AI Developer
ARC Group
🇺🇸 United States
Remote
Senior
1 month ago
- AI
- AWS
- Amazon Bedrock
- Snowflake
- LangGraph
- MCP
- AWS Cloud
- AWS S3
- Microservices
- Step Functions
- Airflow
- Temporal
- RAG
- HIPAA
- AI/ML
- Machine Learning
- EC2
- Apache Airflow
- Data Modeling
- CI/CD
- Model Context Protocol
- OCR
- Natural Language Processing
- AWS Bedrock
- Claude
- Vector Search
- Bedrock
1 month ago
Jacksonville, FL | 100% Remote
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ARC Group is recruiting for a Senior AI Developer with aFortune 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.
 About the Role You will work at the intersection ofAI engineering, backend development, cloud architecture, and enterprise data management to deliver transformative solutions for unstructured data.
The environment includesAWS, Amazon Bedrock, S3, Snowflake, AgentCore, LangGraph, 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.
Key Responsibilities
- 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 asAWS AgentCore, LangGraph, MCP, and A2A frameworks.
- AWS Cloud Architecture: Develop secure, scalable cloud-native solutions usingAWS, 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 usingAWS Step Functions, Airflow, Temporal, or comparable orchestration technologies.
- Data & AI Platforms: Develop solutions leveragingSnowflake, 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 onsecurity 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 developingbackend services, APIs, microservices, or event-driven applications.
- Hands-on experience withAWS, including S3 and EC2 or comparable AWS compute services.
- Experience withSnowflake or a comparable modern cloud data platform.
- Production experience withAI/ML development and deployment, including LLMs, foundation models, prompt engineering, RAG, and agentic AI.
- Experience withworkflow orchestration using AWS Step Functions, Apache Airflow, Temporal, or similar technologies.
- Strong understanding ofdata modeling, data pipelines, data quality, and data governance.
- Experience withCI/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.
- AWS
- Amazon S3
- Amazon Bedrock
- AWS AgentCore
- 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 developingIntelligent Document Processing (IDP) solutions.
- Experience withOCR, ICR, NLP, information extraction, document classification, or document understanding.
- Hands-on experience withAWS Bedrock, Claude, AgentCore, LangGraph, or similar technologies.
- Experience implementingMCP and A2A integration patterns.
- Experience designing and implementingRAG and vector-search solutions.
- Experience with unstructured data platforms and enterprise AI solutions.
- Healthcare industry experience, particularly working withHIPAA-regulated data.
- Experience integrating AI solutions into enterprise workflow and automation platforms.
- Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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The strongest candidates will haveproduction experience building AI solutions and can demonstrate the ability to connect:
- LLMs / Agents + AWS + Bedrock + Snowflake + Vector Databases + Workflow Orchestration + Backend Services
- into secure, scalable enterprise applications.
- Candidates with direct experience inAgentCore, MCP, A2A, Bedrock, Snowflake, S3, and vector databases will be especially valuable.
 Education Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.
 Work Authorization & Location
- Work Authorization: U.S. Citizen or Green Card holder only. No C2C.
- Time Zone: Candidates must be located in theEastern Time Zone or Central Time Zone.Eastern Time Zone candidates are preferred.
- Recruiter Submissions: No third-party recruiters or recruiter-represented candidates will be accepted.
Sr AI Developer · ARC Group