Senior Artificial Intelligence (AI) Solutions Architect

University of Louisville
$123,870 - $185,857Onsite

About The Position

The University of Louisville is seeking to hire a Senior Artificial Intelligence (AI) Solutions Architect to operate at the intersection of technical teams and organizational stakeholders as the connective tissue between engineering, domain experts, and executive leadership. The AI Solutions Lead bridges the gap between abstract objectives and operational reality, guiding AI initiatives from idea to impact by aligning stakeholders, workflows, data, and infrastructure. The role builds organizational AI capability and literacy (not just one-off solutions), establishes a repeatable intake/scoping/evaluation practice, and ensures AI investment is aligned with strategic priorities and value.

Requirements

  • Master’s degree or higher in Computer Engineering, Computer Science, or Data Science and two (2) years of relevant experience.
  • Grade 13 (Salaried)

Nice To Haves

  • At least 2 years of direct, hands-on experience in an AI solutions architect, technical liaison, or AI strategy role (i.e., 2+ years working in this specific role).
  • Excellent communication and stakeholder-management skills, with the technical depth to personally scope, prototype, and validate AI systems.
  • Demonstrated project and portfolio management experience.
  • Proven ability to work in secure environments that handle sensitive, confidential data, with a strong focus on cybersecurity. Must follow institutional security, privacy, and compliance controls (e.g., HIPAA, NIST 800-53) and apply secure engineering practices to protect sensitive data.
  • Experience as a technical liaison, solutions architect, or AI strategist.
  • Grant development, AI governance, and data-science background.
  • Experience in research, healthcare, education, or public-sector settings.

Responsibilities

  • Serve as the technical liaison connecting stakeholders, domain experts, and engineering teams; clarify requirements and communicate the strengths and limits of emerging AI systems.
  • Act as systems architect to scope and design practical AI solutions that align with organizational goals and technical constraints.
  • Work as an AI strategist and portfolio manager: identify high-value opportunities, assess risk and resource needs and prioritize people and compute investments against leadership priorities.
  • Build AI literacy and enablement, foster communities of practice, cross-functional learning, and responsible adoption.
  • Act as a knowledge broker: translate tacit expertise, workflows, and requirements into documented, reusable organizational knowledge, intake frameworks, templates, and build guides.
  • Produce executive reporting and technical communications, support grant development, and advance AI readiness and governance.
  • Work within secure environments that handle sensitive data: apply cybersecurity best practices and institutional security and compliance controls (e.g., HIPAA, NIST 800-53) across every system built and operated.
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