AI for DevOps initiative Steering Lead

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.
• Strong 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