AI Engineering Director

Accountabilities:

• Lead the architecture, design, and implementation of AI/ML systems from early concept through production deployment.

• Define engineering standards, best practices, and scalable AI system patterns across teams.

• Translate complex healthcare and business problems into robust, production-ready AI solutions.

• Oversee model development, evaluation, deployment, monitoring, and lifecycle management.

• Partner with Product and Engineering leadership to define AI strategy and roadmap priorities.

• Mentor and coach engineers across levels, raising overall technical maturity and delivery quality.

• Drive responsible AI practices, ensuring security, privacy, compliance, and ethical considerations.

• Evaluate emerging AI technologies and lead innovation initiatives to enhance platform capabilities.

• Collaborate cross-functionally to ensure alignment between AI systems and business objectives.

Requirements:

• 8–10 years of experience in data engineering, architecture, or AI/ML-focused roles, including 2+ years in technical leadership.

• Proven experience leading AI/ML initiatives from concept through production in fast-paced environments.

• Strong hands-on knowledge of AI/ML systems, including production deployment and scaling.

• Experience with modern data and AI platforms such as Databricks and related ecosystem tools.

• Familiarity with RAG architectures, SQL agents, and modern AI orchestration patterns.

• Strong analytical and problem-solving skills with the ability to structure complex technical challenges.

• Demonstrated ability to mentor engineers and elevate team performance through technical leadership.

• Experience driving engineering best practices and system design standards across teams.

• Strong communication skills, with the ability to collaborate across technical and non-technical stakeholders.

• Ability to operate in a dynamic, fast-evolving environment with strong ownership mindset.

Benefits:

• Competitive compensation including base salary, performance bonuses, and equity eligibility.

• Unlimited paid time off for flexibility and work-life balance.

• Remote-first work model with the ability to work from anywhere in the United States.

• Comprehensive health coverage with multiple plan options.

• Equity participation for all employees, sharing in company success.

• Home office setup allowance to support remote productivity.

• Monthly communication allowance for connectivity needs.

• Strong focus on learning, growth, and professional development.

• Opportunity to work on high-impact AI systems shaping healthcare data intelligence.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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