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Ai Ml Director Jobs (NOW HIRING)

Jobtailor

NY · On-site

$150 - $210/hr

For Directors, at least two years of experience leading teams of AI/ML architects and developers * Demonstrated experience designing and delivering production AI/ML solutions in an enterprise ...

JPMorgan Chase & Co.

Applied AI ML Director

Seattle, WA · On-site

$180 - $320/hr

As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a pivotal role in strategizing and building innovative solutions that enhance trust, safety, and ...

JPMorgan Chase & Co.

Applied AI ML Director

Seattle, WA · On-site

$223K - $325K/yr

As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a pivotal role in strategizing and building innovative solutions that enhance trust, safety, and ...

JP Morgan Chase

Applied AI ML Director

Seattle, WA · On-site

As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a pivotal role in strategizing and building innovative solutions that enhance trust, safety, and ...

Socket.dev

Applied AI ML Director

Seattle, WA · On-site

$180 - $240/hr

As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a pivotal role in strategizing and building innovative solutions that enhance trust, safety, and ...

J.P. Morgan

Applied AI ML Director

Palo Alto, CA

As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a pivotal role in strategizing and building innovative solutions that enhance trust, safety, and ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

We are seeking a visionary Director of AI & ML to lead our talented team in developing groundbreaking solutions. Position Overview: As the Director of Artificial Intelligence & Machine Learning, you ...

Code, LLC

Director of AI & ML

Denver, CO

We are seeking a visionary Director of AI & ML to lead our talented team in developing groundbreaking solutions. Position Overview: As the Director of Artificial Intelligence & Machine Learning, you ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

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Ai Ml Director information

What does an AI/ML director do?

An AI/ML Director is responsible for leading teams that develop and implement artificial intelligence and machine learning solutions within an organization. They oversee the strategy, research, and deployment of AI/ML projects, ensuring alignment with business goals. Their role includes managing data scientists, engineers, and researchers, as well as collaborating with other departments to integrate AI technologies into company products or services. Additionally, they stay updated on industry trends to drive innovation and maintain a competitive edge.

What are some common challenges faced by an AI/ML director when leading cross-functional teams?

As an AI/ML Director, one of the common challenges is aligning team members with diverse backgrounds—such as data scientists, software engineers, and business stakeholders—towards a unified project goal. Ensuring clear communication, managing different expectations, and balancing technical feasibility with business objectives can be complex. Additionally, keeping up with rapid advancements in AI/ML technologies while fostering a collaborative and innovative culture requires strong leadership and adaptability. Overcoming these challenges is key to delivering impactful AI solutions and driving organizational success.

What are the key skills and qualifications needed to thrive as an AI/ML director, and why are they important?

To thrive as an AI/ML Director, you need deep expertise in machine learning, data science, and computer science, often supported by an advanced degree and significant industry experience. Familiarity with AI/ML frameworks (such as TensorFlow, PyTorch), cloud platforms, and project management tools, along with certifications in data science or AI, are commonly expected. Exceptional leadership, strategic vision, and communication skills distinguish top performers in this role. These competencies are critical to drive innovation, manage diverse teams, and successfully deliver complex AI initiatives within an organization.
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Ai Ml Director jobs near you
Infographic showing various Ai Ml Director job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

AI-ML Director

NY • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $210/hr

Other

Posted 23 days ago

Job description

  • Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
  • Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
  • Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
  • Design the data + model lifecycle (pipelines, training/finetuning, serving, monitoring, drift detection, retraining) and the required MLOps/LLMOps foundations
  • Establish integration patterns with enterprise systems (APIs/events/workflows, IAM, observability) so solutions are operable and supportable in production
  • Partner with security, privacy, and risk teams to embed controls (access, auditability, data handling, responsible AI) into solution designs
  • Produce core delivery artifacts (architecture diagrams, reference patterns, implementation roadmap, runbooks) and drive architecture reviews
  • Mentor teams and build reusable assets/accelerators (reference architectures, templates, evaluation scorecards) to scale repeatable delivery quality
Requirements
  • Bachelor's degree preferably in data science or computer science or related discipline
  • For managers, minimum five years of hands‑on developer experience in machine learning and artificial intelligence stacks
  • For Directors, at least two years of experience leading teams of AI/ML architects and developers
  • Demonstrated experience designing and delivering production AI/ML solutions in an enterprise environment
  • Strong grounding in cloud architecture (AWS/Azure/GCP), distributed systems, and modern data platforms
  • Experience with MLOps practices (model lifecycle, monitoring, governance, deployment automation)
  • Experience partnering with security/risk to implement privacy, access controls, auditability, and responsible AI practices
  • Ability to lead senior client stakeholders through decisions under ambiguity
  • Experience to develop long‑standing relationships with clients
  • Experience leading AI/ML delivery programs
  • Experience with AI patterns (RAG, agentic, etc.)
  • Preferred: experience with regulated environments (SOX, HIPAA, PCI, model risk management)
  • Experience leading proposal solutioning / estimates / technical writing for pursuits
  • Experience mentoring junior or senior colleagues in AI/ML architectures
  • Experience guiding clients on build vs. buy decisions of AI/ML powered use cases
  • Flexible, adaptable and an eager self‑starter
  • English: Fluent spoken and written communications skills
  • Prior consulting industry experience or prior experience in an internal consulting role
Core Competencies

Demonstrates expertise in designing and delivering production AI/ML solutions, with a strong grounding in cloud architecture and MLOps practices. Capable of leading teams, mentoring colleagues, and establishing integration patterns while ensuring compliance with security and privacy standards.

Highest-signal resume keywords
  • AI/ML Solution Design
  • Cloud Architecture (AWS/Azure/GCP)
  • MLOps Practices
  • Team Leadership
  • Client Stakeholder Engagement
ATS Optimization Keywords Hard Skills
  • Machine Learning
  • Artificial Intelligence
  • Data Lifecycle Management
  • Architecture Design
  • Model Monitoring
  • Deployment Automation
  • Integration Patterns
  • Risk Management
  • Technical Writing
  • AI Patterns
Soft Skills
  • Mentoring
  • Communication
  • Adaptability
  • Relationship Building
  • Decision-Making
Industry Keywords
  • Enterprise Environment
  • Regulated Environments (SOX, HIPAA, PCI)
  • Responsible AI
  • Auditability
  • Privacy Controls
Tools & Technologies
  • APIs
  • IAM
  • Observability Tools
  • Data Platforms
  • Architecture Diagrams
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