Senior AI Engineer - Agentic

University of Louisville

8h • $123,870 - $185,857 • Onsite

About The Position

The University of Louisville is seeking a Senior AI Engineer to lead the design and delivery of secure, end-to-end multi-agent (“agentic”) AI systems that act on a user’s behalf in high-stakes, security-sensitive environments such as healthcare, manufacturing, and defense. Rather than treating agentic LLMs as text-only backends, this role builds the visible, secure human interface and orchestration layer that lets people observe the reasoning behind an action before a critical, costly decision is made. The engineer architects orchestration frameworks that coordinate distributed specialist agents over secure, bidirectional transports, with scoped, auditable delegation and structured, device-adaptive outputs.

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 building agentic / multi-agent AI systems (i.e., 2+ years working in this specific role).
• Strong software engineering background: distributed systems, APIs, real-time transports, and authentication/authorization.
• Demonstrated experience building and deploying LLM- or agent-based systems in production, including secure, isolated ML infrastructure.
• 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.
• Multi-agent orchestration and agent communication protocols (MCP, A2A).
• OAuth 2.0 Token Exchange and scoped/delegated authorization patterns.
• Experience in regulated or high-stakes domains (healthcare/HIPAA, defense, manufacturing).
• Record of peer-reviewed publications and a history of mentoring.

Responsibilities

• Architect and build end-to-end agentic AI systems, spanning model training, distributed inference, authentication/authorization, and the user-facing applications people actually touch, for production-grade, ultra-secure environments.
• Design multi-agent orchestration: a central orchestrator coordinating distributed specialist agents (e.g., retrieval, records, vision) over a bidirectional, low-latency, stateful transport (e.g., WebSockets).
• Implement a delegated-authority / scoped-authorization model (e.g., OAuth 2.0 Token Exchange) so every agent action carries an explicit, narrowly scoped, auditable actor claim, closing the accountability gap created when agents impersonate users.
• Develop standardized agent communication and tool-use protocols (e.g., Model Context Protocol and Agent-to-Agent / A2A), extending them with structured UI primitives.
• Build a platform-agnostic, server-driven interface and response-translation layer that adapts structured outputs to the connecting device (desktop, smartwatch, voice/ambient, robotics).
• Ensure security, compliance, and auditability for AI operating in regulated, high-stakes domains.
• Provide technical leadership, mentor junior engineers and students, and contribute to peer-reviewed research and open-source releases.
• 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.

What This Job Offers

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