Manager, AI Engineering
About The Position
The AI Engineering Manager leads an Agile team (and related vendors) delivering AI-powered and automation solutions that solve business problems. This hands-on role balances people leadership with technical guidance to build reliable, scalable, production-ready systems. You’ll partner with product, architecture, security, and business teams to turn ideas into working solutions, while fostering strong engineering practices and continuous improvement across AI and RPA engineering. What will this role entail? Lead and develop an Agile AI/RPA engineering team delivering AI and automation solutions. Drive predictable delivery through strong Agile execution (planning, refinement, ceremonies, and continuous improvement). Partner with product and business stakeholders to shape requirements, prioritize work, and manage scope/capacity. Provide hands-on technical leadership—design reviews, architectural guidance, and problem-solving to unblock delivery. Coach engineers on AI development best practices (testing, monitoring, security, reliability, and responsible AI). Ensure solutions meet quality, performance, maintainability, and production-readiness standards. Manage dependencies, risks, and vendor partners; communicate progress and outcomes to stakeholders. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requirements
- Experience using AI-assisted development tools (e.g., Cursor or similar) to accelerate delivery.
- 5+ years of professional experience in software engineering, automation, or AI-related development roles
- 2+ years of experience leading or managing engineering teams
- Hands-on experience building and delivering production software systems, including AI-powered or automation solutions
- Working knowledge of GenAI/LLMs and common patterns (e.g., agents) in real-world applications.
- Experience leading teams using Agile methodologies (Scrum, Kanban, or hybrid)
- Strong software engineering fundamentals (testing, code reviews, CI/CD, and operational support).
- Ability to translate business needs into shipped solutions with product and stakeholders.
- Familiarity with security, privacy, and responsible AI considerations in enterprise environments
- Strong communication skills, including explaining technical concepts to non-technical audiences.
- Production software engineering (design, build, ship, support).
- Hands-on AI/GenAI application development and operationalization.
- Testing/quality, CI/CD, and release management.
- Security, privacy, and responsible AI fundamentals.
- RPA/enterprise automation familiarity and AI-native development tools (e.g., Cursor).
Responsibilities
- Lead and develop an Agile AI/RPA engineering team delivering AI and automation solutions.
- Drive predictable delivery through strong Agile execution (planning, refinement, ceremonies, and continuous improvement).
- Partner with product and business stakeholders to shape requirements, prioritize work, and manage scope/capacity.
- Provide hands-on technical leadership—design reviews, architectural guidance, and problem-solving to unblock delivery.
- Coach engineers on AI development best practices (testing, monitoring, security, reliability, and responsible AI).
- Ensure solutions meet quality, performance, maintainability, and production-readiness standards.
- Manage dependencies, risks, and vendor partners; communicate progress and outcomes to stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
