Artificial Intelligence Engineer
3 days ago
Role & responsibilities
Collaborate with engineering leads to embed AI across SDLC stages:
Requirements User Stories Code Testing Documentation Change Impact.
Oversee development of AI agents for SDLC efficiency (e.g., test generation, code documentation, change impact analysis).
- Ensure engineering velocity improvements through automation and agent integration with Azure DevOps, GitHub, Playwright, and Figma.
- Track adoption of AI-first tools and provide maturity metrics to leadership.
Stakeholder & Customer Management
- Serve as the primary offshore contact for Newport stakeholders and onshore program owners.
- Manage communications, reporting, and escalations across teams and leadership tiers.
- Translate business priorities into actionable plans for offshore execution.
- Drive proactive engagement and innovation showcases (demos, early wins, reports).
Continuous Improvement & Team Development
- Lead RCA and improvement cycles across L1L3 delivery functions.
- Foster cross-practice collaboration between Infra, AI, and Engineering teams.
- Identify skill gaps and define upskilling plans for AI-Ops and AI-SDLC readiness.
- Drive automation-led reduction in manual incidents and improved MTTR.
Required Skills & Experience
- 10–15 years of experience in IT Infrastructure or Engineering Program Management.
- Strong background in Microsoft Azure, AI-Ops, and AI-led SDLC transformation.
- Proven experience managing global delivery teams (onshore/offshore).
- Hands-on familiarity with Azure Monitor, Sentinel, SOAR, M365, Power BI, and Azure DevOps.
- Certifications: ITIL, PMP, or Agile/Scrum Master preferred.
- Excellent stakeholder communication, analytical thinking, and leadership skills.
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