Responsibilities:
AI-Integrated SDLC Enablement
- Develop and institutionalize AI-first SDLC processes.
- Create reusable accelerators such as prompt patterns, AI test automation, and architecture templates.
- Define end-to-end lifecycle for experimentation, deployment, and governance.
- Drive adoption of methods, tools, and processes for AI SDLC within the department.
- Conduct technology analysis and AI tool evaluations.
- Lead successful enablement programs, workshops, and AI community initiatives.
Cross-Functional Influence
- Serve as an AI evangelist across Enterprise IT.
- Collaborate with architects, dev 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 proof-of-concepts, assessments, and adoption readiness reviews.
Training & Culture Building
- Conduct workshops, labs, and AI coaching sessions for engineers and managers.
- Lead internal AI communities of practice, promote innovation through showcases, hackathons, and central initiatives.
Metrics & Continuous Improvement
- Establish and report KPIs such as productivity gains, adoption rates, and automation impact, aligned with THRIVE framework.
