AI/ML Solutions Architect – Agentic Systems

🕒 Abril 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $216.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

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Guidehouse

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2018

💰 Grant em 2023-02

Consulting • Digital Services • Public Sector

A Guidehouse é uma consultoria global que oferece serviços de consultoria, digitais e gerenciados nos setores comercial e público. Ela é projetada para apoiar indústrias como segurança nacional, serviços financeiros, saúde, energia e infraestrutura. A Guidehouse colabora com líderes para navegar na complexidade e impulsionar mudanças transformacionais que impactam o futuro. Sua expertise abrange análise de dados, tecnologias digitais, gestão de riscos e mais, com forte ênfase em sustentabilidade e inovação.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

• 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.)