AI Solutions Architect - Computing Services

Carnegie Mellon University • Pittsburgh, PA

22h

About The Position

The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues engaged in the education, research, and administration efforts of the university. We are a learning organization and approach successes and mistakes as a learning experience to continually cultivate a culture of intelligent risk taking. We want to hire versatile team members who are inspired and passionate about their work. Join us and be part of a team committed to excellence, innovation, diversity, team and individual growth. The AI Solutions Architect will work closely with academic, administrative and technical teams to apply artificial intelligence to enhance educational and operational effectiveness. This role translates institutional needs and opportunities into functional, AI-enabled solutions by shaping technical requirements, designing solution architectures, and building proofs-of-concept and pilots that validate feasibility, value, and risk. This role also contributes to broader enterprise AI solutions by developing reusable patterns and reference architectures and ensuring solutions align with institutional requirements for security, compliance, and responsible use.

Requirements

• Bachelor's Degree or equivalent experience
• Master's Degree or equivalent experience
• Cloud Computing — 2 (Intermediate)
• Information Technology Consulting — 3 (Experienced)
• Software Development — 2 (Intermediate)
• Artificial Intelligence Technologies — 3 (Experienced)
• Data Modeling — 2 (Intermediate)
• Machine Learning (ML) — 3 (Experienced)
• Technical Support — 3 (Experienced)
• Artificial Intelligence (AI) — 3 (Experienced)
• Cloud Technology — 3 (Experienced)
• IT Service Management (ITSM) — 2 (Intermediate)
• Technical Communication — 3 (Experienced)
• 5 – 8 years Relevant Work Experience
• Successful background check
• Ability to maintain composure when dealing with difficult situations and/or individuals.
• Adaptability and openness to change as the department and organization evolves.
• Ability to meet deadlines, work under pressure and with frequent interruptions.
• Ability to understand and follow directions.
• Ability to prioritize work and handle multiple tasks simultaneously.
• Ability to work well with others and/or as part of a team.

Responsibilities

• Collaborate with senior leadership to help define and implement AI strategy aligned with institutional mission and goals.
• Translate business requirements into technical / functional requirements and design AI solution architectures that support secure, scalable, supportable implementations, including integration and operational expectations.
• Build and support proofs-of-concept and pilots to validate feasibility, value, and risk; partner with technical teams to evaluate results and recommend next steps for solution maturation.
• Contribute to technical and architectural foundations that enable repeatable, scalable AI solutions across the institution, including reference architectures, reusable design patterns, integration approaches, and operational considerations that support the path from ideation to pilot and, where appropriate, production.
• Partner with platform, infrastructure, and service teams to enable deployment pathways for AI pilots and enterprise solutions, including environment readiness, integrations, and production transition considerations.
• Partner with security and compliance teams to ensure AI solutions align with relevant regulations and standard processes, including privacy, data protection, and risk management.
• Evaluate and recommend enterprise AI technologies, frameworks, and appropriate tools; identify and assess opportunities and core use-cases.
• Ensure ethical standards are applied and promote fairness, transparency, and inclusivity; identify and mitigate risks such as bias and inappropriate data use.
• Build and maintain documentation for AI architectures, processes, and solutions for reference and auditing purposes, including architecture diagrams, solution decisions, and operational handoff materials.
• Lead and own technical workstreams and projects from concept to implementation, ensuring delivery within scope, timeline, and budget.
• Collaborate with multi-functional teams to transform requirements into practical AI solutions; cultivate secure architectures and operational efficiency across on-premise and cloud environments.
• Stay ahead of AI trends and emerging technologies in higher education and propose innovative ideas for AI integration.
• Participate in the facilitation of upskilling and training initiatives, including but not limited to the Generative AI Center of Excellence workshop, focused / targeted training sessions, executive enablement, and Community of Practice events.
• Other duties as assigned.

Benefits

• Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
• Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
• Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
• For a comprehensive overview of the benefits available, explore our Benefits page.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level