Principal Software Engineer, AI DevOps

Philip Morris International; United States; Hybrid; USD 75,000 - 91,000; Full time

Benefits offered by this job

Life and Health insurance

Employee Pension Plan

26 holiday days

National and international growth机会

Diverse and international work环境

Job summary

Ocupacao is seeking a principal-level AI Delivery & Engineering leader to define CI/CD standards and release practices, and to ensure reliable, reproducible AI assets across Portugal (fully remote) and Poland (hybrid).

You will guide environment strategy, automation, security, and cost, review supplier pipelines, and establish traceability for code, models, prompts, data, tools and runtimes.

Qualifications

• Degree in Computer Science, IT, Software Engineering or a related discipline.
• Enterprise software engineering experience in cloud-native and distributed systems.
• Hands-on enterprise AI engineering and AI release lifecycle experience.
• Deep knowledge of CI/CD, infrastructure as code, release engineering and SRE practices.
• Experience with isolated environments, promotion controls and configuration versioning.
• Knowledge of model, prompt, data, retrieval, tool, asset and runtime traceability.
• Experience with artifact integrity, secrets management, policy gates and regression evidence.
• Knowledge of AI workload observability, availability, latency, cost, SLIs and SLOs.
• Proven technical leadership through standards, reviews, supplier assurance and remediation.
• Strong communication, cross-team influence, mentoring and documentation skills.

Responsibilities

• Define DevOps standards for reusable AI assets and the solutions using them.
• Strengthen delivery quality through reviews of supplier pipelines, infrastructure and deployment evidence.
• Guide decisions on environment strategy, automation, reliability, security, lead time and cost.
• Improve release traceability, artifact integrity, recovery and operational readiness.
• Advance reproducible delivery through controlled promotion, versioning and policy gates.
• Define standards for CI/CD, infrastructure as code, isolated environments and controlled promotion.
• Review supplier pipelines, infrastructure configurations, environment controls and deployment evidence.
• Guide partners on AI delivery patterns, automation trade-offs and approved asset reuse.
• Set expectations for version traceability across code, models, prompts, data, tools and runtime environments.
• Review artifact integrity, dependency controls, secrets management and evaluation gates.
• Assess rollback, safe fallback, recovery, observability, alerting and support handover evidence.
• Turn findings, evaluation results and incidents into improved standards and reference patterns.

Skills

AI delivery leadership

CI/CD

Release engineering

SRE practices

Cross-team collaboration

Documentation

Education

Degree in Computer Science / IT / Software Engineering or related

Job description

Location: Lisbon, Portugal / Krakow, Poland

Working Pattern: Fully Remote (Portugal); Hybrid (Poland)

Join our AI Delivery & Engineering team and provide principal-level technical leadership for AI delivery, release engineering and operational readiness. You'll help ensure reusable AI assets and enterprise solutions are reliable and reproducible.

Impact You'll Own

• Define DevOps standards for reusable AI assets and the solutions using them.
• Strengthen delivery quality through reviews of supplier pipelines, infrastructure and deployment evidence.
• Guide decisions on environment strategy, automation, reliability, security, lead time and cost.
• Improve release traceability, artifact integrity, recovery and operational readiness.
• Advance reproducible delivery through controlled promotion, versioning and policy gates.

What You'll Do

• Define standards for CI/CD, infrastructure as code, isolated environments and controlled promotion.
• Review supplier pipelines, infrastructure configurations, environment controls and deployment evidence.
• Guide partners on AI delivery patterns, automation trade-offs and approved asset reuse.
• Set expectations for version traceability across code, models, prompts, data, tools and runtime environments.
• Review artifact integrity, dependency controls, secrets management and evaluation gates.
• Assess rollback, safe fallback, recovery, observability, alerting and support handover evidence.
• Turn findings, evaluation results and incidents into improved standards and reference patterns.

Skills And Capabilities

Must-haves

• Degree in Computer Science, IT, Software Engineering or a related discipline.
• Enterprise software engineering experience in cloud-native and distributed systems.
• Hands-on enterprise AI engineering and AI release lifecycle experience.
• Deep knowledge of CI/CD, infrastructure as code, release engineering and SRE practices.
• Experience with isolated environments, promotion controls and configuration versioning.
• Knowledge of model, prompt, data, retrieval, tool, asset and runtime traceability.
• Experience with artifact integrity, secrets management, policy gates and regression evidence.
• Knowledge of AI workload observability, availability, latency, cost, SLIs and SLOs.
• Proven technical leadership through standards, reviews, supplier assurance and remediation.
• Strong communication, cross-team influence, mentoring and documentation skills.

Nice-to-have

• Advanced study in AI/ML, distributed systems or cloud/platform engineering.

Rewards and Benefits

Permanent local contract with a competitive salary plus Tabaqueira employee benefits including:

• Life and Health insurance
• Employee Pension Plan
• 26 holiday days
• National and international growth opportunities
• Diverse and international work environment

For Poland: In this position, you will earn no less than 327660 PLN gross per year.

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