
Lead AI Solution Engineer - LMTS
- Chennai, Tamil Nadu
- Permanent
- Full-time
- Proven experience building and deploying agentic AI solutions for workflow automation
- Strong programming skills any modern languages: Python, Java, TypeScript / JavaScript
- Expertise in: Prompt engineering, LLMs (Large Language Models), AI-assisted development standards
- Experience with MCP servers and clients setup and management
- Experience integrating AI tools into the SDLC and evaluating their impact on productivity and quality.
- Understanding of DevOps Practices, DORA metrics and Developer productivity tooling
- Familiarity with Windsurf or similar agentic AI code editors is a strong plus.
- Excellent problem-solving skills and a proactive, ownership-driven mindset.
- Strong collaboration and communication skills to work effectively across engineering, product, and platform teams.
- Architect and implement agentic AI solutions to automate development workflows, focusing on model validation, explainability, security, and ethical AI.
- Lead the setup, configuration, and scaling of MCP servers and clients to support robust AI infrastructure.
- Design and integrate AI-powered enhancements into the Software Development Lifecycle (SDLC) to improve code quality, security, and developer productivity.
- Define and promote best practices for prompt engineering in developer tools and code editors.
- Evaluate and integrate emerging AI tools and platforms, ensuring alignment with responsible AI principles and industry standards.
- Own and optimize developer tools such as: Bitbucket, SonarQube and DevOps platforms (e.g., Jenkins, GitHub Actions, Azure DevOps, etc.)
- Set and uphold high standards for code quality, performance, and maintainability.
- Lead and participate in code reviews.
- Make architectural decisions with a focus on scalability, performance, security, and developer experience.
- Maintain technical documentation for onboarding and troubleshooting.
- Integrate security best practices, including threat modeling and compliance reviews.
- Champion continuous improvement in developer workflows via agentic AI, automation, and developer enablement.
- Lead the adoption of emerging trends like multi-agent systems, AI copilots, and developer-centric AI infrastructure.