AI SDLC Enabler / AI Adoption Multiplier

About MBRDI:

Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.

Key Responsibilities:

Develop & institutionalize AI-first SDLC processes.

Create reusable accelerators (prompt patterns, AI test automation, architecture templates).

Define end-to-end lifecycle: experimentation deployment governance.

Driver of methods, tools & process of AI SDLC within dept.

Own tech analysis & AI tool evaluations accordingly.

Successful enablement of programs, workshops, and AI communities.

Cross-Functional Influence (within Dept)

Act as AI evangelist across Enterprise IT dept.

Partner with architects, dev leads, agile coaches, and product teams to identify AI opportunities.

Integrate & alignment with Mercedes-Benz global AI strategy and guardrails.

Hands-On AI Enablement

Support teams with rapid AI prototyping, code-gen tools, automation, and use-case validation.

Provide guidance in model selection, prompt engineering, evaluation, and responsible AI.

Run PoCs, assessments, and reviews for AI adoption readiness.

Training & Culture Building

Conduct workshops, labs, AI coaching sessions for engineers & managers.

Lead internal communities of practice for AI and GenAI.

Promote innovation through showcases, hackathons, and associated central initiatives.

Required Skills & Experience

Technical Skills

Strong understanding of GenAI, LLMs, vector databases, ML workflows. (cont learning)

Experience integrating AI into development workflows (copilots, test automation, documentation).

Proficiency in Python/Java and cloud platforms (Azure/AWS/Google).

Good grasp of enterprise SDLC, DevOps, APIs, microservices, security, and compliance.

Influence & Leadership

Proven ability to influence teams without formal authority.

Excellent stakeholder management across verticals and global counterparts.

Translate complex AI topics into simple, actionable guidance.

Align with central initiatives to drive AI adoption in respective dept.

Mindset & Traits

Evangelist mindset, proactive learner, strong communicator.

Comfortable with ambiguity and fast experimentation.

Collaborative, customer-centric, and outcome-driven.

Preferred Qualifications

9 years in software engineering, architect, delivery, or enterprise architecture.

Experience in transformation programs / self-driver of owned initiatives.

Exposure to enterprise-scale systems.

Certifications in AI/ML, cloud, or agile practices.

Educational Qualifications:

Bachelor's / Master's degree in Engineering disciplines such as Computer Science, Information Technology, or related fields.

Why Join Us?

Be part of a purpose-driven organization that's shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities.

Equal Opportunity Statement:

At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.