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AI Architect
GuidehouseAI Architect in Guidehouse’s AI & Data practice, architecting enterprise-grade AI solutions and mentoring engineering teams. Collaborating with business and IT leaders to achieve strategic initiatives.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Architect and implement enterprise-grade AI solutions by collaborating with senior leadership to define technology strategies aligned with business objectives.
- Serve as a technical leader for strategic AI initiatives, guiding solution design decisions across architecture, platforms, and implementation approaches.
- Support and help advance AI Studio capabilities, including reusable architectures, accelerators, best practices, and reference implementations.
- Lead the design and hands-on development of AI platforms, pipelines, and GenAI / Agentic AI solutions, including LLM-based systems, RAG, MLOps, cloud-native deployment, and scalable agentic architectures.
- Leverage Guidehouse cloud and development environments, including AWS, Azure, GCP, Databricks, and related enterprise platforms, to build secure, scalable solutions that can move from MVP to production.
- Apply strong software engineering fundamentals and modern development practices, including CI/CD, infrastructure-as-code, environment automation, code quality, and maintainable solution design.
- Partner with cross-functional teams, including IT, Security, and business stakeholders, to identify high-impact AI use cases and deliver MVPs and production-grade solutions.
- Provide technical leadership, coaching, and mentorship to AI engineers, acting as a technical lead within a delivery cell while communicating architectural decisions, trade-offs, risks, and recommendations clearly to technical and non-technical stakeholders.
Requirements
What you’ll need- Bachelor’s degree from an accredited college/university.
- Based on our contractual obligations, candidate must be located within the United States and US Citizen.
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST".
- Minimum 8 years of hands-on experience in AI, machine learning, data analytics, software engineering, cloud engineering, or solution architecture.
- Minimum 2 years of hands-on experience with Generative AI and/or Agentic AI architectures and solutions.
- Proven experience architecting, building, and deploying AI, data, or cloud-native solutions on enterprise platforms such as AWS, Azure, GCP, Databricks, or related technologies.
- Strong understanding of AI/ML fundamentals, including GenAI patterns such as RAG, agents, orchestration, prompt engineering, model selection, and evaluation trade-offs.
- Relevant AI, cloud, or data/industry certifications.
- Strong software engineering fundamentals, including modern development practices such as CI/CD, infrastructure-as-code, environment automation, code quality, and maintainable solution design.
- Understanding of data pipelines, data quality, data governance, privacy considerations, security controls, compliance expectations, and responsible AI requirements.
- Ability to design and deliver solutions within enterprise cloud, development, security, compliance, and IT process constraints.
- Strong communication, collaboration, and technical leadership skills, with the ability to mentor developers, influence without direct authority, and partner effectively with product, delivery, IT, security, and business stakeholders.
Benefits
Comp & perks- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutionsmachine learningdata analyticssoftware engineeringcloud engineeringsolution architectureGenerative AIAgentic AIdata pipelinesCI/CD
Soft Skills
technical leadershipcoachingmentorshipcommunicationcollaborationinfluenceproblem-solvingstakeholder engagementdecision-makingteamwork
Certifications
AI certificationscloud certificationsdata industry certificationsFederal Trust certificationDoD Public Trust certification