Principal AI Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the development of dependable integrations and advanced AI platform functionalities for Avaya Infinity™.

• Connect distributed systems engineering with machine learning operations to establish the groundwork for intelligent, agent-assisted workflows.

• Serve as the systems architect and director, guiding AI coding agents while maintaining responsibility for system design, security, reliability, and operational behavior.

• Identify architectural and operational deficiencies, propose organized solutions, and lead initiatives from inception to completion.

• Communicate technical trade-offs, highlight project obstacles, and share insights with the peer team.

• Examine production system failures, consolidate user feedback, and consistently enhance performance and reliability.

• Design and implement services that link enterprise applications, data platforms, models, and tools through APIs and asynchronous messaging.

• Automate the management of model and application lifecycles, including versioning, reproducibility, evaluation promotion, controlled rollout, and rollback.

• Establish authentication, permissions, isolation, and recovery mechanisms across system boundaries while evolving interfaces without disrupting consumers.

• Collaborate with AI engineers on release quality and manage inference and agent services, enhancing availability, latency, and cost-effectiveness.

• Lead agentic delivery across services, integrations, and release automation, sharing reusable practices.

⛳️ Requirements

• Practical production development experience in Go (Golang) or Rust.

• Proficient in Python.

• Personal accountability for system design and implementation.

• Significant systems integration experience.

• Capability to articulate API contracts, compatibility, concurrency, asynchronous behavior, retries, idempotency, authentication, and failures across distributed services.

• Experience in production MLOps with reproducible training or model packaging, artifact tracking, deployment, monitoring, and rollback.

• Experience supporting batch or online inference and ML or AI workloads on Databricks.

• Proven track record of production delivery on GCP or Azure utilizing automated tests, CI/CD, identity controls, and observability.

• Personal responsibility for troubleshooting and enhancing services post-release.

• Demonstrated ability to deliver a significant feature, service, integration, or engineering tool from proof of concept to production using coding agents like Codex, Cursor, or similar.

• Skill in decomposing work, providing repository context and constraints, coordinating parallel tasks across files and components, maintaining reusable agent instructions, and critically reviewing and integrating generated changes.

• Proficient in independently understanding, maintaining, and debugging code; explaining errors made by agents, establishing test expectations, security and performance checks, CI/CD, hardening, rollout, rollback, and verifying production outcomes.

• Ability to learn unfamiliar systems involving AI and apply that knowledge after release.

• Bachelor's degree or equivalent experience.

• Currently authorized to work in the United States without visa sponsorship now or in the future.

🏝️ Benefits

• Benefits are provided; specific details are not listed in the posting.