Sr. Manager Tech Software Engineer AI Factory

We are delighted to highlight that this role can be located in Poland or Portugal.

Senior Manager AI Software Engineering

Be a part of a revolutionary change - find your future in our future.

At PMI, we’ve chosen to do something incredible. We’re transforming our business and building our future with one clear purpose – to deliver a smoke‑free future. We're disrupting our company from the inside out. Our transformation is redefining every area of our business. From where and how we make and sell our products—to how we engage our consumers and society.

To support this vision, PMI is evolving into a science and technology‑based, consumer‑facing, multi‑category company—and Information Technology (IT) is a vital partner in helping to lead the way. As we accelerate PMI's vision, we get to dream big too.

With unique and transformative IT projects matching all levels of skill and ambition, we've taken on the spirit of a start‑up, with the freedom to craft and define our digital future, but with the support and scope of a vast global business.

YOUR DAY TO DAY

The Sr Manager, AI Software Engineering is responsible for the end‑to‑end technical delivery, engineering excellence, and platform reliability of the AI Factory. The role sets the technical direction across all engineering domains, ensures high‑quality and secure‑by‑design development, builds and mentors high‑performing engineering teams, and oversees Run & Support operations through Site Reliability Engineering practices. This position ensures that the AI Factory delivers robust, scalable, reusable, and reliable AI capabilities that accelerate value creation across PMI.

Main Responsibilities

• Technical Delivery & Engineering Excellence
• Lead end‑to‑end technical delivery (frontend, DevOps, platforms), enforcing high‑quality, secure‑by‑design, and reusable engineering.
• Maintain coding standards, architectural principles, and technical patterns that ensure scalable, maintainable solutions.
• Platform Reliability & Site Reliability Engineering
• Own Run & Support for engineering workloads; drive SRE practices (SLOs/SLIs, observability, incident response, error budgets).
• Continuously improve reliability, performance, and resiliency through disciplined operations and monitoring.
• Developer Experience, Tooling & Automation
• Advance CI/CD, environment management, test integration, and automation that accelerate delivery while improving consistency.
• Standardize dev tooling and workflows to reduce friction and raise engineering velocity across DevOps and Frontend.
• Team Leadership & Culture
• Lead DevOps and Frontend teams; set clear expectations, coach engineers, and build a high‑performance, collaborative culture.
• Promote documentation, knowledge sharing, and growth paths; ensure staffing and skills meet pipeline demands.
• Hands‑On Leadership & AI‑for‑Coding
• Be hands‑on when needed: pair‑program, review code, remove blockers; role‑model AI‑assisted coding (Copilot, test generation, static analysis, agentic audits).
• Introduce AI agents for secure code review, dependency risk checks, performance profiling, and automated SDLC guardrails.
• Cross‑Functional Alignment
• Collaborate with Architecture, QA/RAI, Security, Product, and Factory Ops to ensure designs meet policy, quality, and operability.
• Translate product requirements into sound technical strategies aligned with Ai Factory standards and PMI AI Policy.
• Team Leadership & Culture (AI Factory Leadership)
• Serve as an active member of the AI Factory leadership team; build a high‑performance, cross‑ETF culture that collaborates beyond team boundaries.
• Coach Front/Back end engineers; promote documentation discipline, knowledge sharing, and continuous upskilling.

Who We’re Looking For

• University degree in Computer Science, Information Technology, Engineering, Business Operations or related field.
• Preferred: specialization or experience in AI/ML operations, technology delivery management, or financial/operational governance.
• Proven experience leading engineering teams in complex, fast‑moving technology environments.
• Strong background in software engineering, platform development, and cloud‑native architectures.
• Experience running SRE or production‑grade engineering operations (SLIs/SLOs, monitoring, incident response).
• Experience improving developer experience through tooling, automation, and streamlined pipelines.
• Experience managing multi‑domain engineering functions (frontend, backend, DevOps, platforms).
• Strong analytical and problem‑solving abilities
• Ability to lead in high‑ambiguity, rapid‑delivery environments
• Exce