AI/ML Solutions Architect – Agentic Systems

🕒 April 9

🇺🇸 United States – Remote

💵 $130k - $216k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

💰 Grant on 2023-02

Consulting • Digital Services • Public Sector

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• 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).

🏖️ 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.)