Responsibilities:
AI-First SDLC Development
- Develop and institutionalize AI-first SDLC processes.
- Create reusable accelerators such as prompt patterns, AI test automation scripts, and architecture templates.
- Define end-to-end AI lifecycle including experimentation, deployment, and governance.
- Drive methods, tools, and processes for AI SDLC within the department.
- Own technical analysis and AI tool evaluations.
Cross-Functional Influence
- Act as an AI evangelist across the Enterprise IT department.
- Partner with architects, development leads, agile coaches, and product teams to identify AI opportunities.
- Ensure alignment with Mercedes-Benz global AI strategy and guardrails.
Hands-On AI Enablement
- Support teams with rapid AI prototyping, code generation tools, automation, and use-case validation.
- Provide guidance on model selection, prompt engineering, evaluation, and responsible AI practices.
- Run PoCs, assessments, and reviews to ensure AI adoption readiness.
Training and Culture Building
- Conduct workshops, labs, and AI coaching sessions for engineers and managers.
- Lead internal communities of practice for AI and GenAI.
- Promote innovation through showcases, hackathons, and central initiatives.
