AI SDLC Enabler / AI Adoption Multiplier
Mercedes-Benz Research and Development India Private LimitedBangalore, India (Hybrid)
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 and institutionalize AI-first SDLC processes.
- Create reusable accelerators, including prompt patterns, AI test automation, and architecture templates.
- Define the end-to-end lifecycle from experimentation through deployment and governance.
- Drive methods, tools, and processes for AI SDLC within the department.
- Own technology analysis and AI tool evaluations.
- Enable programs, workshops, and AI communities.
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.
- Integrate with and align to 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 in model selection, prompt engineering, evaluation, and responsible AI.
- Run proofs of concept, assessments, and reviews for 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 related central initiatives.
Required Skills and Experience
- Strong understanding of GenAI, LLMs, vector databases, and ML workflows.
- Experience integrating AI into development workflows, including copilots, test automation, and documentation.
- Proficiency in Python or Java and cloud platforms such as Azure, AWS, or Google Cloud.
- Good grasp of enterprise SDLC, DevOps, APIs, microservices, security, and compliance.
- Proven ability to influence teams without formal authority.
- Excellent stakeholder management across verticals and global counterparts.
- Ability to translate complex AI topics into simple, actionable guidance.
- Evangelist mindset, proactive learning, strong communication, and comfort with ambiguity and fast experimentation.
Preferred Qualifications
- 9+ years in software engineering, architecture, delivery, or enterprise architecture.
- Experience in transformation programs or ownership of initiatives.
- Exposure to enterprise-scale systems.
- Certifications in AI/ML, cloud, or agile practices.
Qualifications
Bachelor’s or Master’s degree in an engineering discipline such as Computer Science, Information Technology, or a related field.
Why Join Us?
Be part of a purpose-driven organization shaping the future of mobility, work on cutting-edge technologies and global projects, and access a collaborative, diverse, inclusive environment with world-class infrastructure and learning opportunities.
Contact
Mercedes-Benz Research and Development India Private Limited
Plot No. 5-P, EPIP 1st Phase
560066 Bangalore
MBRDI Recruitment: mbrdi_recruitment@mercedes-benz.com