Head of AI Engineering & Enablement

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI Engineering & Enablement based in United States. This executive-level role offers the opportunity to define and scale AI adoption across a rapidly growing healthcare technology organization. You will combine hands-on engineering expertise with strategic leadership to transform internal operations through AI-powered solutions. The role focuses on building intelligent workflows, enabling teams, and creating scalable systems that increase organizational leverage. You will partner with senior executives and functional leaders to identify high-impact opportunities and deliver measurable business outcomes. This position blends applied AI engineering, process transformation, governance, and change leadership in a highly collaborative environment. The ideal candidate is a builder and innovator who can turn emerging AI capabilities into practical solutions that reshape how teams work. \n Accountabilities: The Head of AI Engineering & Enablement will lead the strategy, development, and adoption of AI solutions that improve internal operations and organizational efficiency. This role requires a unique combination of technical depth, business understanding, and the ability to drive meaningful change across teams. Partner with executive leadership and functional stakeholders to identify, prioritize, and execute AI opportunities that create measurable operational impact. Develop and maintain an AI opportunity roadmap based on business value, feasibility, return on investment, and strategic priorities. Re-engineer existing workflows and operating processes before applying automation to ensure AI solutions improve how work is performed. Design, build, deploy, and maintain high-value internal AI agents, automations, and intelligent workflows. Develop multi-agent systems, retrieval-augmented generation (RAG) pipelines, agent orchestration frameworks, and secure integrations with enterprise systems. Own AI architecture patterns, including context layers, knowledge connectors, permission-aware retrieval, API integrations, and reusable AI frameworks. Build production-grade AI solutions with appropriate monitoring, evaluation methods, error handling, and continuous improvement processes. Establish governance standards for AI usage, including security controls, data-handling practices, risk management frameworks, and compliance requirements. Ensure AI solutions meet healthcare privacy and security expectations, including protection of sensitive information and regulated data. Create enablement programs that help teams adopt AI effectively through training, templates, office hours, and practical resources. Coach functional AI champions and promote broader AI fluency across technical and non-technical teams. Stay current with emerging AI technologies, models, tools, and methodologies to continuously improve organizational capabilities. Lead and mentor a small engineering team while remaining deeply involved in hands-on technical delivery. Requirements: The ideal candidate is an experienced AI engineering leader who combines strong software development skills with business transformation expertise. You should have experience building production AI systems, improving operational processes, and driving adoption across complex organizations. 8+ years of experience in software engineering, applied AI, technical product roles, or related technology disciplines. Strong hands-on engineering background with the ability to design, build, and ship production systems. Deep experience developing and deploying AI solutions, including multi-agent systems, RAG architectures, LLM workflows, and AI-powered automation. Experience building integrations with enterprise systems, APIs, knowledge platforms, and data sources. Strong understanding of agent frameworks, MCP servers, retrieval strategies, and AI orchestration patterns. Experience working in healthcare, HIPAA-regulated environments, or similarly regulated industries with strict data privacy requirements. Proven ability to identify operational inefficiencies and translate business workflows into scalable technology solutions. Strong process re-engineering mindset with the ability to improve systems before automating them. Demonstrated experience driving AI adoption and behavioral change across non-technical teams. Experience leading and developing small engineering teams while maintaining hands-on involvement. Excellent communication skills with the ability to collaborate with executives, business leaders, and technical teams. Strong judgment, strategic thinking, and ability to operate effectively in ambiguous, fast-moving environments. Preferred location: West Coast or Pacific Time Zone, though remote candidates across the United States may be considered. Benefits: Competitive compensation range of approximately $224,000–$256,000 USD annually for the national average pay zone. Additional variable compensation opportunities and a comprehensive benefits package. Remote-first work environment with flexibility to work from home. Healthcare benefits and wellness resources for eligible employees. Home office support and technology discounts. Wellness programs, fitness resources, and employee assistance support. Opportunities to work on high-impact AI initiatives transforming healthcare operations. Collaborative culture focused on innovation, ownership, continuous improvement, and meaningful impact. Professional growth opportunities within a fast-moving technology organization. \n 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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