MicroTech

Director of AI & Machine Learning

MicroTech$130K — $180K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, data science, information systems, business, or related field; advanced degree preferred
  • 10+ years of experience in technology, software, data, AI/ML, automation, or digital transformation
  • 5+ years of leadership experience managing strategy and team development
  • Strong understanding of AI/ML technologies, including large language models and intelligent automation
  • Experience integrating commercial AI/ML platforms and tools
  • Proven ability to translate technical solutions into business applications
  • Experience in dynamic, growth-oriented environments suitable for quick execution

Responsibilities

  • Define and drive the AI/ML roadmap for internal operations and customer solutions
  • Develop AI capabilities that enhance efficiency and decision-making
  • Assess and integrate commercial AI/ML tools to improve customer offerings
  • Transform AI concepts into market-ready products and managed solutions
  • Lead and develop the AI/ML team to strengthen capabilities
  • Collaborate with business development to position AI solutions in the market
  • Shape secure AI solutions for customers using sensitive data
  • Establish delivery models for consistent implementation and support of AI solutions

Benefits

  • Opportunity to shape and define MicroTech's AI strategy
  • High-impact leadership role influencing growth and innovation
  • Direct involvement in translating AI technology into marketable solutions
  • Potential to build a structured AI capability within the organization
  • Engagement with cutting-edge AI technologies and their practical applications
Full Job Description
Overview

The Director of AI Solutions will lead the strategy, design, and deployment of secure enterprise AI capabilities focused on regulated and high-trust environments. This role will drive the development of a secure AI application layer that enables organizations to safely operationalize generative AI through governance, compliance, workflow integration, and multi-model orchestration.

 

The ideal candidate understands that enterprise AI value is created not only through model capability, but through secure deployment, policy enforcement, auditability, and integration into mission-critical workflows.

Responsibilities
  • Lead enterprise AI solution strategy and execution across regulated environments.
  • Design and oversee secure AI architectures including:
    • Multi-model orchestration 
    • AI governance and guardrails
    • Role-based access controls 
    • Audit logging and compliance automation 
    • Secure middleware and API integration 
  • Partner with proposal, capture, sales, cybersecurity, compliance, and product teams to operationalize AI securely at scale.
  • Drive integration of AI capabilities into enterprise systems, workflows, and business operations.
  • Develop persona-based AI use cases, prompt libraries, and reusable enterprise agents.
  • Support customer adoption from pilot programs to enterprise-wide deployment.
  • Serve as a strategic advisor to executive leadership and customers on responsible AI implementation.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s a plus)
  • 8+ years of experience in enterprise technology, AI solutions, cybersecurity, or digital transformation.
  • Experience delivering AI or cloud solutions in regulated industries such as government, defense, healthcare, or financial services.
  • Strong understanding of:
    • Generative AI and LLM ecosystems 
    • AI governance and security 
    • Enterprise architecture and integrations 
    • Compliance frameworks (FedRAMP, NIST, SOC 2, HIPAA, etc.) 
  • Experience leading cross-functional technical teams and enterprise initiatives.
  • Strong communication and stakeholder engagement skills.

Strategic Focus

This role is focused on building the secure operational layer that allows enterprises and government organizations to safely adopt AI within existing security, compliance, and workflow requirements. The objective is to operationalize AI responsibly — not build foundation models, but enable trusted enterprise AI deployment at scale.

Similar Jobs

More Jobs at MicroTech

More Enterprise Technology Jobs

Find similar Director of AI & Machine Learning jobs: