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Director, AI Engineering ( Remote)
Director, AI Engineering ( Remote)Jobgether • US
Director, AI Engineering ( Remote)

Director, AI Engineering ( Remote)

Jobgether • US
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, AI Engineering (Remote) in United States .

This leadership role offers the opportunity to shape and drive the development of scalable, responsible, and high-performance AI systems. You will oversee a team of engineers and research scientists, delivering AI-powered products that transform user experiences and operational workflows. The role involves defining technical vision, making strategic build-versus-buy decisions, and introducing state-of-the-art AI techniques in production systems. You will collaborate across functions to ensure AI applications are reliable, efficient, and aligned with business objectives. This position encourages hands-on engagement while fostering a culture of mentorship, innovation, and continuous learning, all within a fully remote, dynamic environment.

Accountabilities :

The Director of AI Engineering will lead initiatives that drive AI innovation and operational excellence :

  • Oversee the design, development, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation.
  • Make strategic decisions across open-source and SaaS AI technologies to optimize system performance, scalability, and cost efficiency.
  • Lead and mentor a high-performing AI engineering team, fostering professional growth and a culture of technical excellence.
  • Collaborate with cross-functional teams, including product managers, engineers, and technical program managers, to deliver AI-powered solutions that impact millions of users.
  • Develop and maintain the long-term technical vision and roadmap for foundational AI systems.
  • Introduce and implement state-of-the-art optimization techniques for large-scale production AI systems.

Requirements

Candidates should have deep experience in AI systems engineering and leadership :

  • Bachelor’s degree in Computer Science, Engineering, AI, or related field plus 8+ years of experience in AI / ML development, or Master’s degree plus 6+ years.
  • Minimum 3 years of people management experience, with preference for 5+ years leading engineering teams.
  • Proven experience deploying scalable, responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent).
  • Strong foundation in mathematics, software, and hardware, with the ability to optimize AI systems effectively.
  • Hands-on experience with AI / ML technologies, including LLMs, PyTorch, Huggingface, VectorDBs, and guardrail frameworks.
  • Ability to interpret scientific research and apply novel AI techniques judiciously in production.
  • Excellent communication, presentation, and problem-solving skills; ability to articulate complex AI concepts to technical and non-technical stakeholders.
  • Adaptability in navigating undefined problems, resilience in trailblazing new technical paths, and a passion for mentoring and growing technical talent.
  • Benefits

  • Competitive remote salary range : $239,900 – $273,800 annually (location-dependent).
  • Eligibility for performance-based incentives, including cash bonuses and long-term incentives.
  • Comprehensive health, dental, and vision coverage.
  • Flexible remote work environment.
  • Opportunities to work with cutting-edge AI technologies and frameworks.
  • Professional development, mentorship, and leadership growth opportunities.
  • Inclusive and collaborative workplace culture focused on innovation and excellence.
  • 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 3 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

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