Head of AI/ML Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of AI/ML Engineering in the United States.

We are seeking a visionary Head of AI/ML Engineering to lead and scale a high-performing team in designing, building, and deploying cutting-edge Generative AI and machine learning solutions. This role is responsible for defining the AI technical strategy, overseeing platform development, and delivering AI solutions that drive measurable business impact. You will lead a team of AI engineers, data scientists, and platform engineers while fostering a culture of innovation, operational excellence, and ethical AI adoption. The ideal candidate has deep expertise in large language models (LLMs), MLOps, AI/ML platform architecture, and enterprise AI governance. This position offers the opportunity to shape the AI capabilities of a forward-looking organization and influence strategic decisions across multiple business domains.

• Accountabilities:
• Define and execute the AI/ML technical strategy and architecture across the organization, covering data ingestion, MLOps, model training, fine-tuning, RAG, and agentic applications.
• Make critical technology decisions balancing build vs. buy vs. open-source approaches to ensure speed, cost efficiency, and long-term scalability.
• Recruit, mentor, and retain top-tier AI engineering talent, fostering a culture of continuous learning, excellence, and innovation.
• Build, scale, and maintain AI/ML platforms providing standardized tooling, infrastructure, and workflows for LLM training, deployment, orchestration, and evaluation.
• Partner with business and product leaders to design, implement, and optimize AI solutions that deliver measurable outcomes aligned with strategic goals.
• Ensure reliability, compliance, governance, and cost efficiency of AI infrastructure and deployed solutions.
• Drive operational excellence, including quality assurance, observability, AI governance, and performance monitoring.
• Champion responsible and ethical AI adoption, ensuring explainable, compliant, and high-quality AI solutions across the organization.
• Requirements:
• 15+ years of engineering leadership experience in AI, ML, or data science.
• Deep expertise in Generative AI, LLMs, prompt engineering, RAG, fine-tuning, and model evaluation methodologies.
• Proven track record of delivering production-grade AI/ML solutions in enterprise or customer-facing applications.
• Strong understanding of production software engineering best practices, CI/CD, testing, observability, error handling, and security.
• Experience with cloud-based AI platforms (e.g., AWS AI/ML services, Google AI, OpenAI, Snowflake AI, xAI).
• Expertise in optimizing AI model performance and cost at scale, particularly for LLMs.
• Exceptional leadership, communication, and cross-functional collaboration skills.
• Advanced degree (MS/PhD) in Computer Science, AI/ML, or a related field is preferred.
• Experience in regulated industries such as healthcare, pharma, or diagnostics is advantageous.
• Familiarity with AI governance, ethical AI frameworks, and compliance requirements (e.g., HIPAA, FDA) is a plus.
• Benefits:
• Competitive compensation range: $217,400—$271,800 USD.
• Flexible, fully remote work in the United States.
• Comprehensive medical, dental, vision, life, and disability insurance.
• Paid time off, holidays, and retirement savings options.
• Opportunities for professional growth, mentorship, and exposure to enterprise AI strategy.
• Access to cutting-edge AI technologies and the chance to lead transformative AI initiatives.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1