AI/ML Solutions Architect (Agentic Systems)

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 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.

Do you have experience in Text mining tools?, Do you have a Master’s degree?, * 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).

What Would Be Nice To Have:

• Experience with Palantir Foundry, Ontology, and AIP.
• Strong security-by-design mindset: IAM/least privilege, encryption, secrets management, auditability-and ability to operate within federal compliance constraints.
• Excellent communication skills: translate mission needs into architecture decisions, delivery plans, and measurable outcomes.
• Experience with 1:N facial recognition search solutions, including secure integration patterns, auditability, governance, and human-in-the-loop workflows.
• Knowledge of GPU-accelerated computing (CUDA) and performance optimization for ML inference/training workloads.
• AWS Solutions Architect certification.
• AWS Certified Generative AI Developer - Professional (or equivalent).

Pulled from the full job description

• Referral program
• Tuition reimbursement
• AD&D insurance
• Parental leave
• 401(k)
• Health insurance
• Vision insurance, The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.