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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** Cobalt Benefits Group LLC - **Location:** Reston, VA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Configuration Management, Code Generation, Cyber Security, Information Systems, Software Debugging, Github, Python (Programming Language), Key Management, SQL Azure, OAuth, Open Web Application Security, Regression Testing, OpenAI, Standard Sql, Azure Data Lake, Single Sign-On, Software Engineering, Enterprise Search, Data Logging, Microsoft Power Automate, Office365, Retrieval-Augmented Generation, Prompt Engineering, AI Coding Agents, Microsoft Copilot Studio, Information Technology, Low-code, Cosmos DB, Graphql, Model Context Protocol, Software Version Control, Data Pipelines, Api Management, Powerapps, Key Vault - **Published:** November 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1c1496d73f21e910 ## About the Role * Bachelor's degree in Computer Science, Information Systems, related field, or equivalent practical experience; 3+ years of professional software development experience. * Hands-on generative AI development and evaluation experience, including RAG, context engineering, tool/function calling, and at least one production or production-pilot solution. * Strong Python and/or C#/.NET development skills; experience with production APIs, REST integration, OAuth or similar authorization, and secure secrets/configuration management. * Ability to review, test, debug, and maintain AI-generated code; working knowledge of SQL, data modeling, and data pipelines. * Experience handling HIPAA-regulated information, PHI masking, and access controls. * Experience with AI regression testing, monitoring, model version management, release controls, cost optimization, and guarded multi-step agents. * Ability to document technical decisions, follow governance and change control, conduct business requirements sessions, and recommend delaying or stopping solutions that fail evaluation thresholds. Preferred * Microsoft Copilot Studio, Power Automate, Power Platform, Azure OpenAI, and Azure AI Search experience. * Demonstrated improvement of retrieval or extraction systems using before-and-after evaluation results. * Experience with AI coding agents and Model Context Protocol (MCP). * Familiarity with healthcare, third-party administration, employee benefits, claims, eligibility, plan documents, or EDI., * Collaborative communicator able to translate business processes into technical requirements and partner across business, engineering, security, and compliance teams. * Analytical, detail-oriented problem solver who values measurable quality, documentation, and continuous improvement. * Sound judgment and accountability in privacy, fairness, human oversight, and responsible AI delivery. * Adaptable, hands-on builder comfortable selecting between low-code and custom engineering approaches. Technology Environment Microsoft 365 Copilot, Copilot Studio, Power Automate, Power Apps, Teams; Azure OpenAI / Azure AI Foundry, Azure AI Search; Azure API Management, Entra ID, Key Vault; Azure SQL, Cosmos DB, Azure Data Lake Storage, Blob Storage, Dataverse; GitHub and CI/CD pipelines. Specific technologies vary by project and risk tier. ## Description * Design, prototype, build, test, and deploy AI applications and agents through production; select appropriate Copilot Studio, workflow, agent, custom-service, vendor, or non-AI approaches under Build-vs-Buy guidance. * Develop retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, indexing, metadata, retrieval tuning, and grounded responses with source citations. * Integrate with internal and third-party systems through authenticated REST and GraphQL APIs; collaborate on data pipelines for documents and structured data. * Apply least-privilege permissions, single sign-on, secrets management, PHI/PII protections, output validation, and appropriate logging and retention controls with IT Security. * Create evaluation harnesses with golden test sets, subject-matter expert rubrics, and production sampling; monitor accuracy, citation support and completeness, latency, and transaction cost, including results by plan type. * Implement telemetry for prompts, retrieval, tool calls, and outputs; maintain runbooks, hand-off documentation, cost controls, and operational monitoring. * Advance solutions through CBG AI Solution Delivery Playbook decision gates and required artifacts, including risk assessments, requirements, evaluation plans, and transition documentation. * Partner with the AI Risk Manager, Compliance, Data Protection Officer, Security, and AI Ethics Committee as appropriate; share reusable components, templates, and approved prompt patterns., * First 90 days: Complete AI governance onboarding, ship an enhancement through Production Readiness Review, and establish a golden-test-set evaluation harness. * First 6 months: Release a new approved AI solution, publish reusable components adopted by another project, and enable monitoring dashboards. * First 12 months: Meet approved business KPIs, demonstrate reusable delivery patterns, and maintain current inventory, risk classification, evaluation, and monitoring records. Compliance and Responsible AI Solutions must meet CBG governance and technical security requirements, with privacy, security, and human oversight proportionate to risk. Automated claim denials without human review and use of PHI in public generative AI models are prohibited. Work aligns with HIPAA, HITRUST CSF, NIST AI Risk Management Framework, and applicable OWASP guidance.