Role

AI for DevOps initiative Steering Lead

Location

- Chennai / Bengaluru
- Flexibility to travel for business trips

Experience:

- 15 to 20 years

What awaits you/ Job Profile?

We are looking for an experienced AI Implementation execution steering person to work with Cluster Heads, Unit Heads, Titans and Lead Developers in developing & augmenting Agents/Skills/MCP in SDLC workflow.

The role will steer the strategic AI for DevOps (AI-Assisted, AI Augmentation, AI Native SDLC). You will define an outcome-based execution plan to transform how applications are built, deployed, operated, and supported across the organization.

- Steer the “AI for DevOps” charter to accelerate software delivery, engineering productivity and platform reliability
- Build and scale AI-assisted engineering practices including:
1. AI pair programming
2. AI code generation
3. AI-enabled testing
4. AI-driven CI/CD optimization
5. AI-powered observability and incident management

- Introduce and operationalize AI Agents across the Software Development Lifecycle (SDLC) phases (Plan, Code, Build, Test, Release, Deploy, Operate & Monitor)
- Drive adoption of GenAI, LLMOps, Agentic AI, and automation platforms across development teams.
- Enable team to AI Governance, Security, Compliance, Responsible AI Practices, and Model Lifecycle Management.
- Create measurable outcomes around engineering productivity, release velocity, defect reduction, infrastructure optimization, and developer experience.
- Partner with Engineering Leaders and Architects to evaluate emerging AI technologies, tools, frameworks,



and strategic partnerships.

What should you bring along?

- · 15+ years of experience in Software Engineering, DevOps, Platform Engineering, Cloud Transformation, or Enterprise Architecture.
- · 5+ years of leadership experience driving enterprise-scale digital or AI transformation initiatives.
- · Robust experience of SDLC, CI/CD, cloud-native engineering, observability, and platform automation.
- · Strong experience in building engineering platforms, DevOps ecosystems, or developer productivity solutions.
- · Proven experience implementing AI/ML or Generative AI solutions in enterprise environments.
- · Experience working directly with executive leadership and driving cross-functional strategic programs.
- · Ability to balance strategy, architecture, execution, governance, and change management.
- · Excellent stakeholder management, communication, and leadership skills.
- · Entrepreneurial mindset with strong problem-solving and innovation capabilities.
- · Experience working with globally distributed engineering teams is preferred.

Must have technical skill

- Generative AI and Large Language Models (LLMs)
- AI Agents / Agentic AI frameworks




- AI-assisted software engineering tools
- AI for DevOps frameworks
- Cloud platforms: AWS, Azure, or Google Cloud
- DevOps and CI/CD ecosystems
- Kubernetes, Docker, and container orchestration, Infrastructure as Code (Terraform, Ansible, etc.)
- Python, Java, or modern backend engineering experience
- API architecture and microservices
- Vector databases and RAG architectures
- SDLC automation and developer platforms
- GitHub Copilot, Cursor, OpenAI APIs, Claude, or equivalent AI engineering tools
- Agile, DevSecOps, and Site Reliability Engineering (SRE)

Good to have technical skills

- Multi-agent orchestration frameworks
- LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks
- Knowledge graphs and enterprise search architectures
- AI observability and model monitoring tools
- Fine-tuning and model optimization techniques
- AI-powered testing and QA automation
- Event-driven and streaming architectures
- Data engineering and real-time analytics platforms
- Enterprise workflow automation platforms
- Low-code / no-code AI platforms
- Experience with enterprise copilots and productivity assistants
- Experience building AI-native SaaS products
- FinOps and CloudOps optimization
- Responsible AI, compliance, and AI risk management frameworks
- Experience with hybrid cloud and edge AI architectures
- Exposure to enterprise collaboration platforms such as Microsoft Copilot ecosystem, Slack AI, or Google Workspace AI integrations

📌 AI for DevOps initiative Steering Lead (Chennai)
🏢 BMW TechWorks
📍 Chennai