Job Title: AI/ML Solutions Architect
Location: McLean, VA
Type: Contract To Hire
Work Model: Remote
Hours: 40.0
Clearance: Must be able to obtain a Federal or DoD Public Trust
Contact: Crystal.dinnocenti@systemone.com

RESPONSIBILITIES

• 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 and 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 strategies, and retrieval quality optimization.
• Perform prompt engineering, safety patterns, and defensive design.
• Integrate knowledge graphs and develop graph-enhanced retrieval solutions.
• Create and fine-tune embeddings and LLMs to enhance domain performance, accuracy, and robustness.
• Develop entity graphs using entity resolution techniques to enable graph analytics and improved retrieval.
• Collaborate across engineering, security, and stakeholder teams to prototype rapidly, iterate responsibly, and deliver mission-ready outcomes.
• Lead deployment in AWS cloud environments utilizing Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence practices.
• Own and drive the technical foundation and delivery process for mission AI solutions, including system architecture, tooling, engineering and delivery standards, and hands-on technical leadership.

• 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 production systems.
• Strong Python proficiency and strong SQL skills (data modeling, query optimization).
• Experience designing and delivering cloud-based AI/ML solutions end-to-end (ingestion, modeling, deployment, monitoring) in secure environments.
• Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
• Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with search technologies such as Elasticsearch or OpenSearch.
• Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB).
• Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.
• Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and related orchestration patterns.
• Advanced prompt engineering skills for complex reasoning workflows beyond code generation.
• Experience with asynchronous Python development (asyncio, concurrency, reliability).
• Experience with MCP servers and tool-calling within agentic workflows (tool governance, security considerations).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.


System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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