Director, Applied AI Architect

Immunic Therapeutics

19h • $220,000 - $250,000

About The Position

Immunic is seeking an Applied AI Architect to shape the company’s technology landscape across R&D, Commercial, and G&A functions. Reporting to the Chief Data & Digital Officer, this role combines strategic architecture work with hands-on building. The position will define Immunic’s technology architecture and AI foundation, advance a roadmap for agentic systems, and partner with teams across the enterprise. The role begins at an important point before a Phase 3 data readout and will help shape the company’s technology foundation.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• At least 8 years of enterprise architecture, AI engineering, or a related technical discipline, including proficiency with AI coding agents and workflows.
• Demonstrated experience building agentic AI solutions in a regulated environment.
• Strong knowledge of cloud infrastructure and networking, enterprise data platforms, and system architecture.
• Ability to collaborate effectively with business stakeholder teams.
• Excellent communication and influencing skills, with the ability to operate strategically while remaining hands-on.
• Willingness and ability to travel approximately 25–40% of the time, including internationally.

Nice To Haves

• Master’s degree.
• Experience evaluating emerging AI technologies, frameworks, and platforms.

Responsibilities

• Define and maintain Immunic’s AI architecture, establishing scalable standards and design patterns across business groups and functions.
• Lead discovery with business teams to identify, qualify, and prioritize use cases tied to outcomes.
• Partner with Research, Development, Medical, Commercial, and G&A functions to bridge business needs and technical execution, and guide platform selection, integration, and buy-versus-build decisions.
• Establish practical guardrails and repeatable patterns that enable teams to move quickly and safely.
• Provide technical leadership and mentorship to AI engineers and cross-functional stakeholders.
• Monitor technology spend (FinOps) and optimize AI-related compute and token usage as adoption scales, adapting architectural approaches to an evolving AI cost landscape.

What This Job Offers

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