onsite
Engineering Manager - AI & Automation
Engineering Manager - AI & Automation
The Engineering Manager for AI & Automation will build and lead a team to deliver scalable, secure, and business-driven AI and automation solutions across enterprise business applications. This role involves owning engineering delivery, technical quality, and operational excellence for AI and automation solutions, partnering with various teams, and driving the adoption of AI and low-code platforms.
About the role
Primary purpose
The Engineering Manager for the AI & Automation Squad is accountable for building and leading an engineering team that delivers scalable, secure, and business-driven AI and automation solutions across enterprise business applications.
Key responsibilities
- Lead and grow the AI & Automation engineering squad within the Business Applications Tribe.
- Own engineering delivery, technical quality, reliability, and operational excellence for AI and automation solutions.
- Establish modern engineering practices aligned with Enterprise Engineering, including a product mindset, DevOps, and platform thinking.
- Partner closely with Product Management, Business Application Leads, Architecture, Security, and Data teams.
- Drive adoption of AI, automation, and low-code platforms to improve efficiency and decision-making across the organization.
- Ensure solutions are scalable, compliant, and reusable across Finance, HR, and other business domains.
What you will do
- Build, coach, and performance-manage engineers, including AI engineers, automation engineers, and low-code developers.
- Define the squad mission, roadmap, and technical priorities in alignment with tribe and enterprise strategy.
- Oversee the design and delivery of:
- AI-powered assistants and copilots
- Process automation, including workflow automation, RPA, and orchestration
- Intelligent integrations across Google, Microsoft Dynamics 365, Power Platform, and other enterprise systems
- Establish and enforce engineering standards for coding, testing, security, monitoring, and CI/CD.
- Embed responsible AI practices, data governance, and compliance into solution design and delivery.
- Manage dependencies, risks, and technical debt.
- Act as the escalation point for delivery, quality, and operational issues.
- Support hiring, onboarding, and capability development as the squad grows.
Experience
- 5+ years of experience in software or platform engineering roles.
- 2+ years of people leadership experience.
- Strong experience with enterprise business applications, preferably including:
- Microsoft Dynamics 365, including Finance, HR, CE, or Business Central
- Low-code platforms such as Power Platform, including Power Automate, Power Apps, and Copilot Studio
- Google AppSheet
- n8n
- UiPath
- Hands-on understanding of automation patterns, including workflow automation, RPA, and event-driven automation.
- Working knowledge of AI and ML concepts and applied AI in enterprise contexts.
- Experience operating in product-centric or platform teams.
- Solid grasp of cloud platforms, preferably Azure or AWS.
- Strong understanding of DevOps practices and CI/CD pipelines.
- Experience with API-based integrations and enterprise architecture principles.
- Experience working in regulated environments with security, privacy, and compliance requirements.
Soft skills
- Strong people leader with a coaching and growth mindset.
- Excellent communication skills across technical and non-technical audiences.
- Business-oriented thinking with the ability to connect engineering outcomes to business value.
- Comfortable navigating ambiguity and driving change in transformation environments.
- Collaborative and pragmatic problem-solver.
- Ability to influence without authority across tribes and functions.
- High ownership, accountability, and a bias for action.