Sr Director AI/ML Engineering

Salary: $203,200 - 348,400 per year Requirements:

• We require a bachelors degree or equivalent experience, such as 4+ additional years in software or systems engineering in place of a degree.
• We need 10+ years of progressive experience that has led to technical leadership or director-level responsibility.
• We require 8+ years building and deploying enterprise-scale software solutions or AI/ML SaaS products in production.
• We need 5+ years of hands-on programming experience with Python, Bash, or similar languages, along with machine learning libraries and frameworks.
• We require 3+ years working with public cloud platforms such as AWS, Azure, or Google Cloud Platform for AI/ML deployment and infrastructure management.
• We need 3+ years applying statistical methods, data pipelines, and machine learning algorithms.
• We require experience defining system performance KPIs and implementing model monitoring, fairness, and bias mitigation practices.
• Preferred: a masters degree or PhD in Computer Science, Machine Learning, AI, or a related technical field.
• Preferred: direct technical expertise in NLP, LLMs, retrieval-augmented generation, and agentic workflows.
• Preferred: experience designing and deploying AI solutions in healthcare or another highly regulated environment.
• Preferred: experience creating security and compliance standards for AI models handling sensitive data such as PHI or HIPAA-regulated information.
• Preferred: strong communication, executive presence, and stakeholder management skills, including the ability to present technical strategies to C-level leaders.

• We will define and drive an enterprise-wide AI strategy and roadmap aligned with business goals and growth priorities, and present vision, plans, and outcomes to executive leadership.
• We will lead enterprise AI engineering, deployment, and operations, turning proofs of concept into production-ready systems that create measurable business impact.
• We will apply AI strategically to solve problems, uncover opportunities, and generate tangible value while shaping how AI is developed, deployed, and used across the team.
• We will integrate enterprise AI tools, incorporate AI objectives into development plans, align hiring with AI capabilities, and remove obstacles to accelerate adoption.
• We will promote the ethical use of AI by embedding transparency, fairness, and accountability throughout the AI lifecycle and ensuring compliance with standards and client expectations.
• We will lead the design and rollout of AI models, including statistical approaches, deep learning, LLMs, agentic workflows, data pipelines, and retrieval frameworks.
• We will collaborate closely with engineering and client teams to integrate AI into existing systems, tailor solutions, and provide technical support and guidance.
• We will track AI system performance, scalability, reliability, and cost efficiency by defining KPIs and driving ongoing optimization.
• We will mentor, develop, and retain top AI talent while fostering a culture of innovation and capturing best practices in reusable playbooks.

• AI
• AWS
• Azure
• Bash
• Cloud
• Support
• Machine Learning
• Python
• Security
• RAG

More:

We are Optum Tech, a global leader in health care innovation, building advanced data analytics, AI, and cybersecurity solutions that help people live healthier lives and improve how the health system works for everyone. In this senior leadership role, we focus on transforming AI proofs of concept into scalable enterprise systems for Optum Health Technology. We offer remote work anywhere within the U.S., with Minneapolis or Washington, D.C. hires required onsite at least four days per week. We provide a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and a 401(k) contribution, with an annual salary range of $203,200 to $348,400 based on full-time employment, subject to eligibility and local labor market factors.

last updated 33 week of 2026