AI/ML Solutions Architect – Agentic Systems

Role Overview

• 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 strategies and retrieval quality optimization Prompt engineering, safety patterns, and defensive design Knowledge graph integration and graph-enhanced retrieval AI chatbots and conversational agents Fine-tune embeddings and LLMs (when appropriate) to improve domain performance, accuracy, robustness, and retrieval quality.
• Build entity graphs using entity resolution (matching, deduplication, linking, relationship discovery) to enable graph analytics and enhanced retrieval.
• Collaborate across engineering, security, and stakeholders to prototype rapidly, iterate responsibly, 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 practices, evaluation harnesses, and production readiness checklists.
• Hands-on technical leadership: prototypes, reference implementations, PR reviews, mentoring, and architecture governance to ensure delivery quality.

Requirements

• 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.
• A Master’s degree may be substituted for up to 2 years of relevant professional experience.
• 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 (e.g., PostgreSQL, Oracle) and in-memory analytics engines (e.g., 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 tasks beyond code generation (reasoning workflows, guardrails, evaluations).
• Experience with asynchronous Python development (asyncio patterns, concurrency, reliability).
• Experience with MCP servers and tool-calling within agentic workflows (tool governance, reliability, and security considerations).

Tech Stack

• AWS
• Cloud
• ElasticSearch
• Numpy
• Oracle
• Pandas
• Postgres
• Python
• PyTorch
• Scikit-Learn
• SDLC
• SQL
• Tensorflow

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)