Artificial Intelligence Engineer

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.