Key Responsibilities:
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- Analyze client IT environments to identify opportunities for enhanced efficiency using AI powered DevSecOps tools and methodologies across traditional and cloud native platforms
- Prepare gap analysis and design a roadmap for AI integrated DevOps automation covering CI CD CT pipelines from requirements to deployment
- Architect intelligent DevSecOps tooling infrastructure defining interfaces and integrations with platforms like GitHub GitLab Azure DevOps and AI enhanced developer tools
- Mentor DevOps engineers in leveraging Generative AI tools such as GitHub Copilot GitLab Duo and Microsoft 365 Copilot to accelerate development testing and deployment workflows
- Apply Prompt Engineering techniques to optimize interactions with LLMs and improve automation code generation and documentation
- Research and evaluate emerging technologies in AI ML MLOps and Generative AI contributing to solution development and innovation
Preferred Skills:
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Technology-\>AI-AI Engineering-\>AI/ML Solution Architecture and Design-\>generative ai,Technology-\>Application Security-\>DevSecOps,Technology-\>DevOps-\>Continuous delivery - Environment management and provisioning-\>Azure DevOps services,Technology-\>DevOps-\>DevOps Architecture Consultancy