Agentic AI Engineering Manager - Corporate Processes & Information Technology

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.

What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

** This is a hybrid role based out of SAP Vancouver office, working in-office with the team 3 days per week. **

What you'll do

As an Engineering Manager for Agentic AI Solutions, you will lead a feature team responsible for building and delivering production-grade Agentic AI solutions across C&P's core value chain. You will drive technical excellence, foster innovation, and ensure successful delivery of AI capabilities that enable productivity and growth across Demand Generation, Deal Execution, Opportunity to Cash, Adapt to Consume, Customer Success Management, and Cross Enablement.

Your role combines technical leadership and people management to deliver our Agentic AI ambitions.

Key Responsibilities:

• Team Leadership & Development:
  Build, mentor, and grow a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement. Conduct regular 1:1s, performance reviews, and career development planning.
• Technical Delivery Management:
  Oversee end-to-end delivery of Agentic AI solutions, ensuring alignment with architecture standards, quality benchmarks, and business objectives. Drive sprint planning, backlog prioritization, and release management across multiple workstreams.
• Architecture & Technical Excellence:
  Partner with architects and technical leads to define technical strategy, establish coding standards, and ensure scalable, maintainable solutions. Champion best practices in AI agent design, SAP
• Agentic AI implementation, and multi-agent orchestration.
• Cross-Functional Collaboration:
  Facilitate effective collaboration between engineering, UX, QA, data teams, and business stakeholders to ensure successful delivery. Act as primary liaison with product management, architecture, and leadership teams.
• Resource & Capacity Planning:
  Manage team capacity, skill development, and resource allocation across multiple concurrent initiatives. Identify staffing needs and participate in hiring processes to build team capabilities.
• Operational Excellence:
  Establish and monitor engineering metrics, implement CI/CD practices, drive automation, and continuously improve development processes. Ensure robust testing, documentation, and knowledge sharing practices.
• Stakeholder Management:
  Communicate delivery status, risks, and dependencies to senior leadership. Manage expectations and negotiate priorities across competing demands while maintaining team focus and morale.
• Innovation & Continuous Improvement:
  Foster experimentation with emerging AI technologies, identify opportunities for process optimization, and drive adoption of industry best practices within the team.

What you bring

• Bachelor degree in Computer Science or a similar field
• Engineering Leadership Experience: 12+ years of software engineering experience with 5+ years in engineering management, leading feature teams. Proven track record of delivering complex, enterprise-scale solutions.
• Agentic AI & Enterprise AI Expertise:
  Strong understanding of agentic AI architectures, multi-agent systems, LLM integration, and AI solution patterns. Experience with enterprise AI platforms and frameworks (SAP BTP, cloud platforms, or similar).
• Technical Foundation:
  Solid software engineering background with hands-on experience in modern development stacks (e.g., Python, TypeScript, Node.js, React). Ability to review code, provide technical guidance, and make architectural decisions.
• Agile Delivery Management:
  Deep expertise in Agile/Scrum methodologies, with proven ability to manage complex backlogs, sprint planning, and delivery timelines. Experience with JIRA, Azure Dev Ops, or similar tools.
• People Management Skills:
  Demonstrated success in…