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# AI Developer - Remote

- **Company:** SGA Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Warehousing, Information Extraction, Systems Development Life Cycle, Service Development Studio, Software Engineering, Unstructured Data, Workflow Management Systems, Enterprise Software Applications, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Backend, Event Driven Architecture, Information Technology, Data Management, Virtual Agents, Restful APIs, Data Pipelines, Microservices
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/5ac7166e-fd6b-4c39-954d-697aec4a3ee3

## About the Role

* Related Bachelor's degree or related work experience
 * 5+ years related work experience, Professional experience with technical design and coding in the IT industry
 * 5+ years of professional software development experience, with at least 2 years focused on AI/ML development or data engineering in production environments
 * Proficiency in backend/service development: Demonstrated expertise building scalable APIs, microservices, or event-driven systems
 * Cloud platform expertise: Hands-on experience with AWS (S3, EC2, or similar) and modern data warehouses (Snowflake or similar)
 * AI/ML development: Experience building, training, deploying, and operationalizing AI models; including working knowledge of LLMs, foundation models, prompt engineering, RAG architectures, and agentic frameworks.
 * Workflow orchestration: Proven experience with AWS Step Functions, Apache Airflow, Temporal, or equivalent orchestration tools in production
 * Data management fundamentals: Strong grasp of data modeling, pipeline architecture, quality assurance, and governance principles
 * Enterprise software practices: Comfortable with CI/CD, testing, code review, security best practices, and regulatory compliance (healthcare experience a strong plus)
 * Technology Must Haves:
 + Vector DB
 + A2A Framework
 + Workflow Orchistration/Development
 + MCP
 + Agent Core
 + Bedrock
 + S3
 + AWS
 + Snowflake

Preferred Skills :

 * Direct experience with intelligent document processing (IDP), OCR, ICR, NLP, or information extraction
 * Hands-on experience with agentic AI frameworks (AgentCore, LangGraph, or similar)
 * Experience with A2A (automation-to-automation) integration patterns
 * Experience with AWS Bedrock, Claude, or other managed foundation model services
 * Prompt engineering and retrieval-augmented generation (RAG) for domain-specific applications
 * Healthcare industry background
 * Contributions to unstructured data and AI projects
 * Advanced degree (BS/MS) in Computer Science, Data Science, or related field
 * Various Domain experience; Health Care, Financial, etc
 * Experience using Agile, Waterfall, or hybrid methodology
 * Specific tools, languages and specialty skills may vary

## Description

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. AI Developer - Remote for a contract assignment with one of our premier Healthcare Services clients in FL . This role will be remote., Seeking a Senior AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions for our enterprise. You will have a voice throughout the full development lifecycle, from concept through deployment, of cloud-native systems that securely manage, process, and enable unstructured data at enterprise scale.

This is a strategic technical role that combines AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, agentic AI frameworks (AgentCore, LangGraph, etc.), automation-to-automation (A2A) solutions, and workflow orchestration platforms to deliver transformative capabilities across the organization.

 * Develop AI-Enabled IDP Solutions: Build intelligent document processing pipelines that extract, classify, and enrich unstructured data using modern AI/ML approaches
 * Cloud Architecture & Implementation: Design and implement scalable, secure solutions leveraging AWS (S3, compute, networking), Snowflake data platforms, and related managed services
 * Agentic AI & Automation: Develop and integrate autonomous agents using frameworks like AgentCore and LangGraph to process and route enterprise data with minimal human intervention
 * Workflow Orchestration: Design and implement complex, production-grade workflows using orchestration frameworks; ensure reliability, auditability, and compliance
 * Backend & Service Development: Build synchronous and asynchronous services, APIs, and microservices that support document ingestion, processing, and downstream consumption
 * Data Governance & Security: Apply data management principles, such as cataloging, lineage, retention, data protection, with healthcare compliance (HIPAA) and security as a foundational requirement
 * Mentorship & Collaboration: Partner with data engineers, platform teams, and business stakeholders to translate requirements into technical solutions; mentor junior engineers


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