# Jobgether - Head of AI Engineering - JD title: Head of AI Engineering - JD Company: Jobgether - JD url: https://www.linkedin.com/jobs/view/4448722542 - JD Posting date and time: Estimated 2026-08-08 02:47:12 UTC / 2026-08-07 22:47:12 EDT; derived from source value '2 days ago' at capture time 2026-08-10 02:47:12 UTC - Number of applicants if available: 52 applicants - Date and time the resume was generated: 2026-08-10 02:47:12 UTC / 2026-08-09 22:47:12 EDT - Elapsed time between JD Posting date and time vs the resume generation time: 2 days, 0 minutes - Compensation: Not disclosed in public LinkedIn capture - Count and percent of matching Significant keywords in JD vs in resume: 13 JD / 9 resume (69.2%) - Fit Notes / caveats: Remote Head of AI Engineering role listed by Jobgether on behalf of a partner company; strong alignment to AI engineering strategy, scalable AI platforms, agent architectures, production systems, automation, healthcare, and team leadership. Compensation and travel are not disclosed in the public LinkedIn capture. - JD text: See captured JD below. ## Captured JD 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 based in United States. The Head of AI Engineering will lead the development of advanced AI systems that power next-generation healthcare experiences. This role focuses on building scalable AI platforms, agent architectures, and reliable production systems that enable intelligent automation. The successful candidate will define AI engineering strategy, own critical technical decisions, and establish best practices for applied AI development. Working at the intersection of software engineering, machine learning, and product innovation, this leader will transform experimental AI capabilities into robust real-world solutions. The role combines hands-on technical leadership with team building, platform ownership, and close collaboration across engineering, product, and clinical teams. This is an opportunity to shape the future of AI-driven healthcare by creating systems that are safe, scalable, and impactful. Accountabilities The Head of AI Engineering will own the architecture, execution, and evolution of AI platforms while ensuring reliability, safety, and scalability across production systems. Build and lead the development of an internal AI Agent SDK that enables engineers to create powerful, reliable, and reusable AI applications. Define AI architecture strategy, including agent frameworks, orchestration, context management, retrieval systems, memory, tooling, workflows, and runtime infrastructure. Serve as the technical owner for production AI systems, ensuring continuous improvement in quality, reliability, performance, and cost efficiency. Develop evaluation frameworks using automated checks, simulations, human feedback, and production outcomes to measure and improve AI system performance. Establish safe AI operating practices through authorization controls, validation processes, auditability, recovery mechanisms, and appropriate human escalation paths. Own model strategy, including model selection, routing, optimization, experimentation, fine-tuning approaches, and deployment decisions based on measurable outcomes. Build production observability, monitoring, testing, and incident response capabilities for AI-powered systems. Partner closely with engineering, product, and domain experts to translate complex business challenges into scalable AI solutions. Provide technical leadership, mentor engineers, establish engineering standards, and grow a high-performing applied AI team. Remain hands-on by contributing production code and personally building foundational AI capabilities while guiding broader technical direction. Develop strong relationships with external technology providers and represent the organization within the AI engineering community. Requirements The ideal candidate is an experienced AI engineering leader with strong software engineering fundamentals, a proven ability to ship production AI systems, and the technical judgment required to operate in complex environments. 8+ years of software engineering experience with continued involvement in production development. Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline. Demonstrated experience building and launching production-grade AI agents capable of reasoning, using tools, managing state, and operating under real-world constraints. Deep understanding of AI agent architectures, including orchestration, retrieval, memory, context construction, workflows, and error recovery. Experience designing evaluation systems for AI products, including benchmarking, simulations, regression detection, and production performance measurement. Strong systems engineering background with expertise in APIs, distributed systems, databases, observability, reliability, and scalable infrastructure. Ability to design AI systems that support safe and controlled execution of consequential actions. Strong understanding of modern AI models, including their capabilities, limitations, optimization approaches, and appropriate use cases. Experience leading engineering teams, setting technical direction, mentoring developers, and maintaining high execution standards. Ability to communicate complex technical concepts clearly to engineers, executives, product teams, and non-technical stakeholders. Proven ability to operate independently, make strategic decisions, and create clarity in fast-moving environments. Strong ownership mindset with the ability to take responsibility for outcomes, reliability, and continuous improvement. Preferred Qualifications Include Experience building AI platforms, agent runtimes, SDKs, evaluation systems, or shared AI infrastructure. Experience developing customer-facing AI agents, transactional systems, or high-volume automation platforms. Background working with healthcare, finance, insurance, or other high-impact industries requiring reliability and compliance. Experience fine-tuning, evaluating, or deploying open-weight AI models in production. Experience with long-term memory systems, personalization, real-time AI applications, or streaming architectures. Experience collaborating directly with AI model providers on technical integrations, evaluations, and performance optimization. Strong ability to identify and recruit exceptional AI engineering talent. Benefits Competitive compensation package ranging from $200,000 to $400,000 annually, plus equity opportunities. Fully remote work environment with flexibility across global time zones. Comprehensive medical insurance coverage. Paid time off with a yearly minimum allowance and local public holidays. Annual personal development budget for books, courses, and coaching. Wellness budget to support fitness, health applications, and personal wellbeing. Access to regular health coaching sessions. Company-provided MacBook and work-from-home equipment as needed. Opportunity to shape engineering culture and influence the future direction of AI innovation. Chance to work on mission-driven technology impacting healthcare accessibility and delivery. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Jobgether by 2x See who you know