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 Po Cs, 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.