AI Architect

Job Family:
Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

The AI Architect will play a critical technical leadership role within Guidehouse’s AI & Data practice. This role is responsible for architecting and delivering AI prototypes and enterprise-grade solutions, supporting the firm’s AI Studio, and serving as a technical lead for strategic AI initiatives.

• 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.

• Bachelor’s degree from an accredited college/university.
• Located within the United States and a U.S. Citizen.
• Ability 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.

• Experience working in a consulting or advisory capacity, supporting client‑facing AI and data initiatives.
• Master’s degree in a relevant technical or business discipline.
• Certifications in cloud architecture, AI/ML engineering, data engineering, cybersecurity, or data science.
• Experience contributing to AI thought leadership, accelerators, reference architectures, or enterprise‑level strategic initiatives, such as an AI Center of Excellence or AI Transformation program.
• Experience mentoring or leading distributed teams in a global delivery model.

The annual salary range for this position is $-$. Compensation decisions depend on a wide range of factors, including but not…