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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI engineering teams, fostering innovation, and ensuring the delivery of high-quality AI solutions while adhering to security and compliance standards. Proficient in managing technical projects, mentoring staff, and aligning development efforts with business objectives.
Highest-signal resume keywords
AI Engineering LeadershipMachine Learning Solution DesignMLOps Best PracticesSoftware Engineering PrinciplesTeam Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI DevelopmentMachine LearningGenerative AIAutomation SolutionsCloud-Native ArchitecturesAPIsSDLCModel Lifecycle ManagementTechnical Solution DesignPerformance Management
Soft Skills
CommunicationCollaborationProblem-SolvingCoachingContinuous Learning
Tools & Technologies
DevSecOpsDevelopment FrameworksTesting ToolsDocumentation ToolsMonitoring Tools
Industry Keywords
Enterprise SecurityGovernanceRegulated EnvironmentsTechnical ExcellenceInnovation
Tech Stack
Tools & technologiesCloudSDLC
About the role
Key responsibilities & impact- Lead, mentor, and develop a team of AI engineers and technical specialists
- Foster innovation, technical excellence, collaboration, and continuous learning
- Manage performance, career development, coaching, and succession planning
- Support recruiting, onboarding, and workforce planning
- Oversee planning, execution, and delivery of AI development activities
- Manage work progress, risks, issues, dependencies, and delivery commitments
- Remove execution barriers across concurrent initiatives
- Ensure AI solutions meet timeline, quality, reliability, and security expectations
- Provide technical guidance for AI and machine learning solution design and implementation
- Promote engineering standards, reusable components, testing, documentation, and development frameworks
- Support AI engineering, MLOps, automation, and DevSecOps best practices
- Evaluate emerging AI technologies for enterprise applicability
- Collaborate with business and technology stakeholders to define technical approaches
- Align AI development with implementation priorities and adoption needs
- Communicate progress, risks, and outcomes to leadership and stakeholders
- Manage relationships with vendors and technology partners
- Drive continuous improvement of development processes, tools, and engineering practices
- Support SDLC and model lifecycle management, monitoring, reporting, supportability, and operational readiness
- Ensure compliance with enterprise security, governance, and responsible AI standards
Requirements
What you’ll need- Bachelor’s degree in computer science, data science, engineering, or related field, or equivalent combination of education and/or related professional work experience
- 10+ years of experience in software engineering, data science, machine learning, AI engineering, or related technical disciplines
- 3+ years of experience managing technical teams in delivering complex technology solutions
- Demonstrated experience designing, developing, and deploying AI, machine learning, generative AI, or automation solutions
- Strong understanding of software engineering principles, cloud-native architectures, APIs, MLOps practices, and modern development methodologies
- Strong communication, collaboration, and problem-solving skills
- Ability to balance technical excellence with business value delivery
- Experience in regulated environments preferred
- Resume required to apply
Benefits
Comp & perks- Annual incentive (bonus) plan may be available
- Medical insurance
- Dental insurance
- Vision insurance
- Employee assistance program
- Life insurance
- Disability plans
- Parental leave
- Paid time off
- 401k
- Tuition reimbursement
- Flexible workplace and work-life balance
- Career growth
- Retirement assistance
- Flexibility to work in a preferred location
- Technology and other tools supporting hybrid working