Role Description 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. The AI Architect will partner closely with business, product, delivery, IT, and security stakeholders to design solutions that solve business problems, create measurable value, and operate within Guidehouse enterprise environments and controls. This role requires hands-on technical leadership across Generative AI, Agentic AI, cloud-native application delivery, and data solution development, while mentoring developers and promoting engineering excellence across delivery teams. - 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. Qualifications - 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. Requirements - 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. Benefits - 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