AI/ML Solutions Architect (Agentic Systems)

Visa Hunt; United States; On-site; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Parental Leave

401(k) Retirement Plan

Group Term Life and Travel Assistance

Transit and Parking Commuter Benefits

Tuition Reimbursement, Certifications

Job summary

Guidehouse is seeking an AI/ML Solutions Architect (Agentic Systems) to design secure, scalable, cloud-native AI solutions for federal clients. You will own end-to-end architectures and lead hands-on implementation—from agentic AI systems to production-grade ML pipelines.

The role blends technical vision with delivery leadership, guiding tool selection, architecture, and standards, and collaborating across engineering, security, and stakeholders to prototype rapidly and deliver mission-ready

Qualifications

• Bachelor's degree required in Engineering, IT, CS or related field.
• 8+ years in solutions architecture, software engineering, data engineering, or applied ML with production systems experience.
• Strong Python and SQL skills (data modeling, query optimization).
• Experience designing and delivering cloud-based AI/ML solutions end-to-end in secure environments.
• Hands-on with LangChain, Haystack, crewAI or similar frameworks.
• Knowledge of core Python ML/data libraries (NumPy, Pandas, Scikit-learn, NLTK, OpenCV).
• Familiarity with PyTorch or TensorFlow; Elasticsearch/OpenSearch experience.
• Experience with cloud SDKs (Boto3) and integration with cloud services.
• Advanced prompt engineering and asynchronous Python development.
• Familiarity with agentic AI frameworks and governance patterns.

Responsibilities

• Design and implement agentic AI systems enabling autonomous decision-making and workflow orchestration.
• Develop Generative AI applications for summarization, extraction, insights, and interfaces.
• Build and maintain scalable data pipelines for analytics and AI workloads.
• Apply advanced ML techniques to decision support and policy evaluation.
• Lead AI initiatives including RAG, retrieval quality optimization, and safety patterns.
• Prototype rapidly with stakeholders and ensure production-readiness.
• Lead deployment in AWS-first cloud environments using IaC and DevSecOps principles.
• Own end-to-end solution architecture: boundaries, data flows, security, observability, cost models.

Skills

Agentic AI systems design

Generative AI applications development

Data pipelines design

Advanced ML techniques

End-to-end solution architecture

Cloud/AWS-first environments

Prompt engineering

Asyncio / asynchronous Python

Tool governance & security for agentic

Architecture governance & mentoring

Observability and cost models

Education

Bachelor’s degree in Engineering, IT, Computer Science, or related field

Tools

LangChain

Haystack

crewAI

PyTorch

TensorFlow

Elasticsearch

OpenSearch

PostgreSQL

Oracle

DuckDB

Boto3

Job description

Job Family:

IT Architecture/Cloud

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust

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.

What You Will Need:

• 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 to modeling to deployment to 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).

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.