Define AI architecture and technical standards for complex multi-component systems
Make build vs. buy decisions for AI infrastructure and tooling
Design systems for scalability, reliability, and offline/edge operation
Lead technical due diligence on vendors and emerging technologies
Drive R&D initiatives aligned with business strategy
Translate business problems into AI solution approaches
Represent Denali at conferences and build external reputation
Lead cross-functional initiatives involving multiple teams
Mentor developers at all levels in technical and career growth
Lead hiring efforts and drive engineering culture improvements
Partner with customers to co-develop solutions for industrial use cases
Present to executive leadership and external stakeholders
Lead high-stakes customer demonstrations and pilot deployments

Requirements

Bachelor's required
Master's or PhD preferred
5-8+ years in AI/software development with a track record of technical leadership and shipped production systems
Expert in Python; proficient in C++, Go, Rust, Java
Deep expertise in architecture, system design, and distributed systems
Expert in DevOps, CI/CD, Docker/Kubernetes
Expert across PyTorch/TensorFlow with production ML experience
Deep expertise in 3+ AI domains: CV, NLP/LLMs, VLMs, generative AI
Expert in agentic AI architectures and multi-agent frameworks
Expert in edge AI: Jetson, industrial IPCs, embedded platforms
Deep model optimization: quantization, TensorRT, OpenVINO
Experience with industrial protocols (OPC-UA, MQTT), PLCs
Strategic thinking and business acumen
Executive communication skills
Hiring and team building experience

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC++GoRustJavaarchitecturesystem designdistributed systemsDevOpsCI/CD

Soft Skills

strategic thinkingbusiness acumenexecutive communicationmentoringteam buildingleadershipcross-functional collaborationpresentation skillsproblem-solvinginitiative

Certifications

Bachelor's degreeMaster's degreePhD