Position Details
About this role
This role involves leading the implementation and operationalization of AI-enabled tools to enhance software delivery processes across enterprise teams. The candidate will support agile practices, evaluate tools, and serve as a domain expert in AI and cloud-native architectures.
Key Responsibilities
- Evaluate and select AI tools
- Lead implementation and rollout
- Support agile coaching
- Establish KPIs for adoption
- Serve as SME for SDLC and AI governance
Technical Overview
The technical environment includes AI tooling, cloud platforms like Azure, AWS, GCP, modern development methodologies such as Agile, DevOps, CI/CD, and distributed, event-driven architectures. Proficiency in multiple programming languages and AI agents is required.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with extensive experience in cloud-native tools, modern software development methodologies, and AI tooling. They possess leadership skills, stakeholder engagement experience, and a strategic mindset to operationalize AI solutions across enterprise teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 10+ years of professional experience, No experience with cloud native technologies, No leadership or technical lead experience, No experience with modern development methodologies
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