Note: The job is a remote job and is open to candidates in USA. The University of Louisville is seeking a Senior AI Engineer to lead the design and delivery of secure, end-to-end multi-agent AI systems for high-stakes, security-sensitive environments. The role focuses on multi-agent orchestration, distributed inference, delegated authorization, standardized agent protocols, adaptive user interfaces, and compliance, while also providing technical leadership, mentorship, and research contributions.
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
Skills
- Master's degree or higher in Computer Engineering, Computer Science, or Data Science and two (2) years of relevant experience. Grade 13 (Salaried)
- 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
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