AI Solutions Architect - Computing Services

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.

Your core responsibilities will include:

• 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. 

Effort Distribution:

• 40% – Design AI solution architectures and build and support proofs-of-concept and pilots to validate feasibility and outcomes, including collaboration with developers and other technical stakeholders.

• 20% – Support stewardship and operationalization of architected solutions in partnership with Service Delivery and Software Development teams, including transition planning, operational requirements, support considerations, and lifecycle management.

• 15% – Partner with security, compliance, and other enterprise stakeholders to ensure AI solutions align with relevant regulations and standard processes; embed ethical and responsible-use considerations into design and delivery.

• 10% – Produce and maintain architecture and solution documentation; contribute to technical enablement, targeted workshops, and knowledge-sharing to support adoption and sustainability.

• 15% – Evaluate and recommend AI technologies, frameworks, tools, and solution patterns; contribute to technical direction and standards for AI solutions.

• Other duties as assigned.

Education:

Bachelor's Degree or equivalent experience

Master's Degree or equivalent experience

Skill Attributes:

• 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)

Relevant Work Experience:

5 – 8 years

Requirement:

Successful background check

Physical and Mental Requirements:

• 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.

Decision Making:

Decisions may affect a work unit or department. Job may contribute to business and operational decisions.

Working Conditions:

Required to work normal business hours; evening and weekend work may occasionally be required.

Accountability:

Accountable for the successful completion of individual goals and priorities.

Direction:

Receives little instruction on day-to-day work and receives general instructions on new assignments. Establishes methods and procedures for attaining specific goals and objectives, and receives guidance in terms of broad goals.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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