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Agentic SDLC Hub Consultant
RabobankAgentic SDLC Consultant at Rabobank improving software delivery with AI and reusable practices. Guide teams towards practical adoption of innovative engineering methodologies.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in guiding teams through software delivery transformations by leveraging artificial intelligence, coding agents, and agile methodologies. Proven ability to create clarity in complex situations and deliver measurable value through effective communication and collaboration.
Highest-signal resume keywords
5+ Years In Technology DeliveryExperience With Coding AgentsAgile Methodologies (SCRUM, Kanban)Full Software Delivery LifecycleExcellent Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringML EngineeringData SciencePrototypingTechnical ReviewAdoption RoadmapsAI WorkflowsAgentic Development ToolsMonitoring Best PracticesCompliance Awareness
Soft Skills
MentoringFacilitationLeadershipCollaborationProblem-Solving
Industry Keywords
DevOpsTransformationEngineering PracticesChange ManagementObservability
About the role
Key responsibilities & impact- Help Rabobank teams improve how they design, build, test and operate software by applying artificial intelligence, coding agents and reusable delivery practices.
- Guide teams through change, create clarity in complex situations and help scale successful approaches across the engineering organisation.
- Lead practical adoption of GenAI and agentic software delivery by helping teams translate opportunities into scalable ways of working.
- Design and guide adoption strategies across developer journeys, AI workflows, operating models and engineering practices that deliver measurable value.
- Act as a trusted advisor who creates clarity, enables change and helps teams make better technical and organisational decisions.
Requirements
What you’ll need- 5+ years in roles that combine technology delivery with consulting, transformation, product, DevOps, Software Engineering, ML Engineering or Data Science.
- Proven experience supporting teams across the full software delivery lifecycle: from discovery and architecture through implementation, testing, deployment and adoption.
- Sufficient hands-on engineering ability to prototype, review technical choices and work credibly with engineers across languages, tools and system boundaries.
- Proven experience with coding agents and agentic development tools in practice
- Ability to turn ambiguous problems into clear recommendations, practical experiments and adoption roadmaps that deliver measurable value.
- Security and observability awareness: best practices for monitoring, compliance, and reliability in AI systems.
- Excellent communication skills with the ability to mentor, facilitate and lead technical teams through change.
- Agile experience (SCRUM or Kanban) and strong collaboration across cross-functional teams.
Benefits
Comp & perks- Thirteenth month's salary and 8% holiday allowance
- 10% Employee Benefit Budget
- EUR 1,400 development budget per year
- Hybrid working: balance between home and office work
- A pension, for which you can set the maximum amount of your personal contribution