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# Principal Tech Software Engineer AI - Agentic AI

- **Company:** Philip Morris International Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Cloud Engineering, Continuous Integration, Distributed Systems, Interoperability, Software Engineering, Systems Integration, Enterprise Software Applications, Agentic-AI, Information Technology
- **Published:** November 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwo6xhqxeq

## About the Role

* 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 experience, including architecture, code, integrations and readiness review.
 * Deep knowledge of agentic AI orchestration, bounded autonomy and enterprise tool integration.
 * Experience with agent and tool contracts, interoperability, workflow composition and dependencies.
 * Knowledge of context, memory, retrieval and grounding, authorization and human oversight.
 * Experience with observability, AI evaluation and realistic failure analysis.
 * Strong secure software development, CI/CD, testing and reliability foundations.
 * Proven technical leadership through standards, reviews and supplier assurance.
 * Strong communication, cross-team influence, mentoring and documentation skills.

Nice-to-have

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

## Description

Join our AI Delivery & Engineering team and provide principal-level technical leadership for reusable enterprise AI capabilities. You'll help ensure that agentic AI solutions are secure, reliable and scalable while advancing PMI's smoke-free future.

Impact You'll Own

 * Define engineering standards for reusable agentic AI capabilities, improving interoperability, reliability and maintainability.
 * Strengthen solution quality through architecture, code, configuration and evidence reviews.
 * Guide decisions on agent versus workflow design, asset reuse and appropriate autonomy levels.
 * Advance safe, traceable agent behavior through authorization, human oversight, recovery and evaluation.

What You'll Do

 * Defining standards for agent and tool contracts, orchestration, state, context, memory, grounding and bounded autonomy.
 * Review supplier architectures, code, configurations, tool interfaces and engineering evidence.
 * Guide partners on agents, simpler workflows, reusable assets and justified new development.
 * Set expectations for action authorization, human approval, safe stopping and recovery.
 * Partner with Quality and Testing to assess behavior, grounding, regressions and traces.
 * Review operational readiness, including observability, dependencies, recovery and support handover.