Solutions Architect Principal

Support mission-critical initiatives and enable the growth of our business as a Solutions Architect Principal e, you’ll become an integral part of how GDIT is able to ensure the safety and security of our nation.

As a Solutions Architect Senior Advisor, the work you’ll do at GDIT will be impactful to the mission of the New York State Department of Health Medicaid Management Information System (MMIS) program. You will play a crucial role in designing and building the agentic AI systems that support the eMedNY enterprise at Corporate Woods in Albany, NY.

As the individual contributor for artificial intelligence and agentic engineering, you will be trusted to set the technical direction for how AI is designed, built, and governed across one of the nation’s largest Medicaid claims processing environments, under extremely stringent response-time and continuous-availability service level agreements and HIPAA/HITECH and FedRAMP compliance obligations. Your influence will come from the architectures you design, the reference implementations you ship, and the engineers you mentor.

In this role, your responsibilities will be:

• Architect, build, and operate multi-agent systems — planning, tool use, memory, and reflection loops — that run as governed, auditable, and reproducible steps inside the delivery pipeline
• Design and implement the tool and context layer that agents depend on:
  Model Context Protocol servers, tool and output schemas, retrieval pipelines, and context engineering standards
• Build the evaluation harness before the feature — eval sets, scoring rubrics, and regression suites that prove a non-deterministic system improved rather than assert it
• Own performance, cost, and reliability for AI workloads: tracing, token and spend budgets, model selection and routing, fallback behavior, and caching
• Establish the guardrail and safety architecture — PHI stage gates, prompt injection and data exfiltration defenses, least-privilege tool scoping, and human-in-the-loop approval checkpoints
• Evaluate models, frameworks, and vendors on evidence: run bake-offs, publish results honestly, name lock-in and failure modes, and recommend against adoption when warranted
• Produce the architecture others build from — reference architectures, interface requirement documents, design patterns, and decision records — and defend it in architecture review boards
• Raise the engineering organization’s ceiling through pairing, design review, and the standards governing how the program applies AI to protected health information

Bring your initiative and drive for innovation to GDIT. The Solutions Architect Principal must have:

• Education:
  
  Bachelor’s in Computer Science, Software Engineering, Mathematics, or a related technical field; an advanced degree in Computer Science, Machine Learning, or Artificial Intelligence preferred
• Experience:
  
  8+ years of professional software engineering or systems architecture experience, including 1+ year building and operating production large language model systems, with at least one agentic system taken to production and supported afterward
• Python at expert level, plus working fluency in a second language such as Type Script, Java, Go, or Rust
• Agentic patterns and runtimes: tool and function calling, Model Context Protocol, structured output, multi-agent orchestration, durable state, and human-in-the-loop control flow
• Amazon Bedrock, Anthropic Claude, and agentic coding harnesses such as Claude Code
• Retrieval-augmented generation: embeddings, hybrid retrieval, reranking, and vector stores such as pgvector or Amazon Open Search
• Evaluation and observability for non-deterministic systems; AWS cloud-native services,…