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Senior Engineering Manager, AI Product Engineering
Safe FleetCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI architecture, development, and delivery of scalable AI features, with a strong focus on Generative AI, Machine Learning, and Deep Learning. Proven ability to lead engineering teams, implement AI-assisted workflows, and ensure responsible AI deployment in collaboration with cross-functional stakeholders.
Highest-signal resume keywords
AI Architecture DevelopmentGenerative AI ImplementationEngineering LeadershipAI-Native Engineering PracticesCloud-Based Solutions Development
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the architecture, development, and delivery of scalable, production-ready AI features and shared AI platforms
- Apply Generative AI, Machine Learning, Deep Learning, and Computer Vision to solve product challenges
- Develop solutions using LLMs, RAG, AI agents, workflow orchestration, and traditional ML techniques
- Establish reusable AI architecture patterns and ensure performance, scalability, security, reliability, and cost efficiency
- Contribute directly to technical architecture, prototyping, coding, and complex problem-solving
- Lead the adoption of AI-Native Engineering and Agentic SDLC practices
- Implement AI-assisted development workflows using AI coding agents, Spec-Driven Development (SDD), and development automation
- Leverage AI agents and reusable skills across design, implementation, testing, code review, and delivery
- Establish engineering standards and metrics to improve productivity without compromising quality, security, or maintainability
- Lead and mentor a team of 4–8 engineers, fostering technical excellence and continuous improvement
- Partner with Product Management to translate business requirements into technical solutions and execution plans
- Collaborate with other engineering teams to integrate AI capabilities into existing products
- Work with Security, Compliance, and other stakeholders to ensure responsible AI deployment
Requirements
What you’ll need- 8+ years of software engineering experience, including strong system design and architecture expertise
- 3+ years of engineering leadership experience, with proven ability to lead and mentor technical teams
- 2+ years of hands-on experience developing and deploying production AI applications or product features
- Strong experience with modern AI platforms and services, such as OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalent technologies
- Solid understanding of LLMs, transformer-based models, prompt engineering, RAG, AI agents, and workflow orchestration
- Practical knowledge of Data Science and Machine Learning, including predictive modeling and model evaluation
- Hands-on experience using AI coding agents, such as Claude Code, GitHub Copilot, or equivalent tools
- Practical experience with AI-Native Engineering, Spec-Driven Development, and AI-assisted software development workflows, with an understanding of Agentic SDLC practices
- Experience developing scalable cloud-based solutions using AWS, Azure, or GCP
- Strong technical leadership, communication, and cross-functional collaboration skills
- Experience developing AI-powered features for commercial software products
- Experience with Computer Vision, image/video analytics, Deep Learning, or predictive ML
- Experience with local/self-hosted models, Hugging Face, and Model Context Protocol (MCP)
- Experience with AI agent orchestration frameworks and production ML pipelines
- Experience implementing advanced Agentic SDLC workflows, including custom agents, reusable skills, automated verification, and CI/CD integration
- Experience building reusable AI platforms or shared AI services
- Familiarity with Agile methodologies and experience working in regulated or security-conscious environments
Benefits
Comp & perks- 12.5% bonus
- Equal opportunity, diverse, and inclusive workplace
- Fair and equitable hiring practices
- Workplace culture where employees can thrive and reach their full potential
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningComputer VisionLLMsRAGAI AgentsPredictive ModelingModel EvaluationWorkflow OrchestrationSpec-Driven Development
Soft Skills
Technical LeadershipCommunicationCross-Functional CollaborationMentoringProblem-Solving
Tools & Technologies
OpenAIAzure OpenAIGoogle GeminiClaudeGitHub CopilotHugging FaceAWSAzureGCPCI/CD Integration
Industry Keywords
AI-Native EngineeringAgentic SDLCAgile MethodologiesRegulated EnvironmentsSecurity Compliance