Delivery Manager (AI in SDLC)

EPAM Systems; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

EPAM Systems seeks a Delivery Manager (AI in SDLC) who combines deep SDLC delivery expertise with hands-on knowledge of AI/GenAI solutions.

You will lead end-to-end AI initiatives, coach teams, align stakeholders, and apply Agile/Lean approaches to deliver repeatable AI delivery frameworks while embedding responsible AI and data privacy considerations. Collaborating with cross-functional teams, you will manage risks, measure value, and communicate progress to executives.

Qualifications

• Experience leading end-to-end AI software delivery.
• Hands-on ML/GenAI production experience.
• Ability to communicate with executives and influence outcomes.

Responsibilities

• Own end-to-end delivery of AI and Generative AI initiatives from discovery through production rollout.
• Coach delivery teams on integrating AI into the software delivery lifecycle.
• Align stakeholders through clear governance, risk management and delivery updates.
• Track outcomes using delivery metrics, value realization and adoption measurement.
• Apply Agile and Lean ways of working to build repeatable AI delivery frameworks.
• Embed responsible AI, data privacy and model risk practices across delivery.
• Coordinate distributed, cross‑functional teams to maintain delivery health and predictability.

Skills

Delivery leadership

AI in SDLC

Stakeholder management

MLOps

Job description

We are seeking a Delivery Manager (AI in SDLC) who combines deep SDLC delivery expertise with hands‑on knowledge of AI/GenAI solutions.

Responsibilities

• Own end-to-end delivery of AI and Generative AI initiatives from discovery through production rollout.
• Coach delivery teams on integrating AI into the software delivery lifecycle.
• Align stakeholders through clear governance, risk management and delivery updates.
• Track outcomes using delivery metrics, value realization and adoption measurement.
• Apply Agile and Lean ways of working to build repeatable AI delivery frameworks.
• Embed responsible AI, data privacy and model risk practices across delivery.
• Coordinate distributed, cross‑functional teams to maintain delivery health and predictability.

Requirements

• Delivery leadership across complex software delivery lifecycle programs with clear outcome ownership.
• Hands‑on experience delivering machine learning and Generative AI solutions into production.
• Understanding of the AI lifecycle including experimentation, evaluation, deployment and monitoring.
• Familiarity with MLOps and continuous integration and continuous delivery (CI/CD) practices.
• Ability to turn ambiguity into actionable plans for technical and non‑technical audiences.
• Confidence engaging executive stakeholders on delivery strategy, progress and trade-offs.
• Background leading distributed, multicultural teams across functions.