Job Description

Lead and scale a high-performing AI engineering team while driving end-to-end delivery of AI solutions from ideation through production deployment in the telecommunications sector.

Responsibilities:

Team Leadership & Development· Build, manage, and mentor a team of AI Engineers and researchers through hiring, onboarding, and regular 1:1s· Foster technical excellence by documenting and championing engineering best practices· Conduct daily/weekly/monthly delivery ceremonies including stand-ups and sprint planning
Strategic Delivery & Roadmap Ownership· Co-own and execute the AI roadmap alongside the AI Solution Architect· Manage the AI engineering backlog, prioritizing initiatives in collaboration with the Solution Architect· Translate business requirements into actionable AI backlogs with product managers· Own complete AI delivery lifecycle from concept to production deployment
Stakeholder Management & Governance· Coordinate across organizational stakeholders including Data Governance, Security, and country business teams· Manage delivery expectations by clearly defining experiments, rollouts, and solution iterations· Ensure compliance with internal and external governance frameworks and regulations· Advocate for AI trends and technological advancements relevant to telecommunications
Quality & Performance Management· Maintain high standards in AI delivery and operations· Track team progress and solution performance using relevant KPIs and metrics · Adhere to AI development and delivery engineering lifecycle standards
Skills & Requirements:
· Hands-on coding skills and active involvement in AI development· Practical experience in AI operations and MLOps· Knowledge of digital and data technologies including web/mobile applications andDataLake architectures.
Leadership Excellence:Proven track record in people management and delivery leadership AI Project Experience:Hands-on exposure to AI initiatives including GenAI, voice bots, AI agents, and similar technologies Technical Foundation:Solid understanding of software engineering fundamentals and principles Business Acumen:ROI-focused mindset for evaluating and delivering AI solutions Cloud & AI Expertise:Working knowledge of cloud platforms and familiarity with AI tools, frameworks, and conceptsincluding LLMs, RAG, prompt engineering, and Python programming