AI Developer
CACI International Inc
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Manager, AI Engineering
Drata
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $158,200 - $244,300 per year
Job Level
SeniorLead
About the role
- Lead, mentor, and grow a team (~7 people) of engineers, ML specialists, and data scientists
- Recruit and hire top-tier AI/ML talent, building a world-class engineering team
- Establish career development paths and growth opportunities for team members
- Foster a culture of continuous learning, experimentation, and technical excellence
- Conduct performance reviews, provide feedback, and support professional development
- Define and execute the technical roadmap for AI/ML initiatives across the platform
- Collaborate with product leadership to translate business requirements into technical AI solutions
- Stay current with AI/ML research and industry trends, evaluating new technologies for adoption
- Establish technical standards, best practices, and guidelines for AI/ML development
- Drive architectural decisions for scalable AI systems and infrastructure
- Oversee end-to-end delivery of complex AI/ML projects from concept to production
- Manage project timelines, resource allocation, and risk mitigation strategies
- Coordinate with cross-functional teams including Product, Engineering, Security, and Compliance
- Establish metrics and KPIs to measure AI/ML project success and business impact
- Ensure projects align with company objectives and compliance requirements
- Partner with product managers to define AI-driven features and capabilities
- Work with compliance teams to ensure AI solutions meet regulatory and ethical standards
- Collaborate with infrastructure teams to build scalable ML platforms and deployment pipelines
- Engage with business stakeholders to communicate AI capabilities and limitations
- Support sales and marketing teams with technical expertise for AI-related initiatives
- Drive innovation in AI applications for compliance automation and security
- Encourage experimentation with emerging AI technologies and methodologies
- Promote knowledge sharing through tech talks, publications, and conference participation
- Balance innovation with practical delivery of business value
Requirements
- 8+ years of software engineering experience with 2+ years in engineering management roles
- Proven experience managing AI/ML teams of 5+ engineers
- Strong technical background in machine learning and AI technologies
- Experience with production ML systems and deployment at scale
- Track record of delivering complex AI/ML projects from concept to production
- Excellent leadership, communication, and project management skills
- Experience working with cross-functional teams and business stakeholders
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
Benefits
- Healthcare: 90-100% paid premiums for medical, dental, and vision plans for employee and dependents + on demand health care concierge
- HSA, FSA, & DCFSA: Pre-tax savings plans for healthcare and dependent care, with up to a $600 annual employer contribution to the HSA plan (if enrolled in HSA medical plan)
- 100% paid short and long term disability plus life + AD&D benefits
- Learning & Development: $500 annually towards professional development opportunities + $250 annually towards personal development opportunities
- Flexible Time Off: Flexible vacation policy for strong, fully charged batteries
- 16 Weeks Paid Parental Leave: An inclusive policy to ensure you have time with your newborn, newly adopted, or foster child (available after six months of employment)
- Work Remotely: Flexible hours and work from home + $1,000 annually to cover necessary business related items for your home office
- 401K: Reach your financial goals while reducing your taxes
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI technologiesproduction ML systemsAI solutionstechnical roadmaparchitectural decisionsscalable AI systemsdeployment pipelinesKPI measurementcompliance automation
Soft skills
leadershipcommunicationproject managementmentoringteam buildingperformance reviewscollaborationinnovationfeedbackknowledge sharing
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringMaster's degree (preferred)
