TASC

Director, AI Development

TASC

full-time

Posted on:

Location Type: Office

Location: O'Fallon • Montana, Texas • 🇺🇸 United States

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Salary

💰 $165,000 - $264,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDockerKubernetesMicroservicesSDLC

About the role

  • Lead end-to-end delivery of AI use cases within the AI Center of Excellence
  • Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases
  • Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms
  • Act as technical liaison with business sponsors; drive discovery, requirements, and solution design
  • Provide executive-level updates on progress, risks, and value; influence decisions with data
  • Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components
  • Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control
  • Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications
  • Integrate AI systems with enterprise data platforms, APIs, identity, and security controls
  • Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches
  • Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle
  • Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture
  • Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates

Requirements

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred
  • Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering
  • Hands-on experience with low-code tools (Power Platform, Copilot Studio)
  • Hands-on experience with pro-code environments (Databricks, AWS, Azure)
  • Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails
  • Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores)
  • Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing)
  • Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps
  • Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development
Benefits
  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
  • 80 hours of Paid Sick and Safe Time
  • 25 days of vacation time and 5 personal days, pro-rated based on date of hire
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement
  • may be eligible for an annual bonus or commissions depending on the role
  • competitive base salary

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI solutionsMLOpsCI/CDautomated testingmodel registryversion controlenterprise architecturedata platformscloud infrastructurecontainerization
Soft skills
leadershipcommunicationstrategic thinkingteam developmentstakeholder alignmentmentoringinfluencing decisionsproblem-solvingcollaborationlearning culture
Certifications
Bachelor’s in Computer ScienceMaster’s in Computer SciencePhDMBA