AI Solutions Architect - Computing Services

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical and dental insurance

Generous retirement savings program

Tuition benefits

Paid time off

Free public transit pass

Job summary

A prestigious university is seeking an experienced AI Solutions Architect. This role involves collaborating with academic and technical teams to develop AI-enabled solutions that enhance educational effectiveness. Responsibilities include translating requirements into architectures, building proofs of concept, and ensuring compliance with security and ethical standards. Applicants should possess a relevant degree, 5-8 years of experience, and a passion for AI integration in education. Benefits include comprehensive health coverage and a generous retirement plan.

Qualifications

• 5 – 8 years relevant work experience.
• Successful background check.

Responsibilities

• Collaborate with senior leadership to define and implement AI strategy.
• Translate business requirements into technical requirements and design AI solution architectures.
• Build and support proofs‐of‐concept to validate feasibility and outcomes.
• Contribute to foundational work enabling scalable AI solutions.

Skills

Cloud Computing

Information Technology Consulting

Software Development

Artificial Intelligence Technologies

Data Modeling

Machine Learning (ML)

Technical Support

Artificial Intelligence (AI)

Cloud Technology

IT Service Management (ITSM)

Technical Communication

Education

Bachelor’s Degree or equivalent experience

Master’s Degree or equivalent experience

Job description

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.

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.

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.

Locations and Application:

Location: Pittsburgh, PA

Job Function: Software/Applications Development/Engineering

Position Type: Staff – Regular

Full Time/Part time: Full time

Pay Basis: Salary

Additional Information:

• Please visit Why Carnegie Mellon (http://www.cmu.edu/jobs/why-cmu/index.html) to learn more about becoming part of an institution inspiring innovations that change the world.

• Click here (https://www.cmu.edu/jobs/benefits-at-a-glance/) to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

• Statement of Assurance (https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html)

If you are an individual with a disability and you require assistance with the job application process, please email Equal Opportunity Services ([e-mail]) or call 412‑268‑3930.

Prospective Employee Disclosures (https://www.cmu.edu/jobs/disclosures/index.html)