AI/ML Solutions Architect (Agentic Systems)

Job Family: IT Architecture/Cloud Travel Required: None Clearance Required: Ability to Obtain Public Trust We are seeking an AI/ML Solutions Architect (Agentic Systems) to design and deliver secure, scalable, and cost-effective cloud-native AI solutions for federal clients. You will bridge complex mission needs and modern technology by owning end-to-end architectures and leading hands-on implementation—especially for agentic AI systems, RAG-based applications, and production-grade ML pipelines. This role blends technical vision + practical delivery leadership: selecting tools, defining architectures, establishing engineering standards, and guiding implementation through prototypes, code reviews, and reference solutions. What You Will Do: Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight. Develop Generative AI applications for summarization, extraction, predictive insights, and conversational interfaces. Build and maintain scalable data pipelines integrating structured + unstructured data to support analytics and AI workloads. Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation. Lead AI initiatives spanning: Retrieval-Augmented Generation (RAG) and evaluation Re-ranking strategi [... source excerpt omitted ...] y, and deliver mission-ready outcomes. Lead deployment in AWS-first cloud environments, leveraging Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence patterns. You will own and drive the technical foundation and delivery rigor for mission AI solutions: End-to-end solution architecture: system boundaries, trust zones, data flows, integrations/APIs, security controls, observability, and cost models. Tooling and platform selection: LLMs, embeddings, vector stores, orchestration frameworks, graph technologies, data platforms—documenting tradeoffs and decisions. Engineering and delivery standards: secure SDLC, CI/CD quality gates, automated testing, code review [... source excerpt omitted ...] n readiness checklists. Hands-on technical leadership: prototypes, reference implementations, PR reviews, mentoring, and architecture governance to ensure delivery quality. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience). Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering prod