Principal AI Platform Engineer

Avaya

. Lead development of reliable integrations and next-generation AI platform capabilities for Avaya Infinity™ .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $179,127 - $234,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in systems architecture and integration, with a strong focus on AI platform capabilities and MLOps practices. Proficient in managing production environments, ensuring reliability, security, and performance across distributed systems.

Highest-signal resume keywords

Production Development In Go (Golang) Or RustProduction MLOps ExperienceSystems Integration ExperienceExperience On GCP Or AzureAbility To Explain API Contracts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go (Golang)RustPythonMLOpsAPI ContractsAsynchronous MessagingCI/CDModel PackagingTroubleshootingSystems Design

Soft Skills

Personal OwnershipCommunicationProblem-SolvingCollaborationCritical Review

Tools & Technologies

DatabricksGCPAzureCodexCursor

Certifications & Qualifications

Bachelor Degree Or Equivalent Experience

Industry Keywords

AI PlatformDistributed SystemsIntegrationAgent-Assisted WorkflowsProduction Delivery

Tech Stack

Tools & technologies

AzureDistributed SystemsGoogle Cloud PlatformPythonRustGo

About the role

Key responsibilities & impact

Lead development of reliable integrations and next-generation AI platform capabilities for Avaya Infinity™
Bridge distributed systems engineering and machine learning operations to build foundations for intelligent, agent-assisted workflows
Act as systems architect and director, guiding AI coding agents while retaining ownership of system design, security, reliability, and production behavior
Identify architectural and operational gaps, propose structured solutions, and drive initiatives from concept to completion
Articulate technical trade-offs, surface project blockers, and share knowledge with the peer team
Investigate production system failures, synthesize user feedback, and continuously improve performance and reliability
Design and implement services connecting enterprise applications, data platforms, models, and tools through APIs and asynchronous messaging
Automate model and application lifecycle management, including versioning, reproducibility, evaluated promotion, controlled rollout, and rollback
Implement authentication, permissions, isolation, and recovery across system boundaries while evolving interfaces without breaking consumers
Work with AI engineers on release quality and operate inference and agent services, improving availability, latency, and cost
Lead agentic delivery across services, integrations, and release automation, sharing reusable practices

Requirements

What you’ll need

Hands-on production development in Go (Golang) or Rust
Working proficiency in Python
Personal ownership of system design and implementation
Substantial systems integration experience
Ability to explain API contracts, compatibility, concurrency, asynchronous behavior, retries, idempotency, authentication, and failures across distributed services
Production MLOps experience 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
Production delivery on GCP or Azure using automated tests, CI/CD, identity controls, and observability
Personal responsibility for troubleshooting and improving services after release
Demonstrated delivery of a substantial feature, service, integration, or engineering tool from proof of concept into production using coding agents such as Codex, Cursor, or equivalents
Ability to decompose work, provide repository context and constraints, coordinate parallel tasks across files and components, maintain reusable agent instructions, and critically review and integrate generated changes
Ability to independently understand, maintain, and debug code; explain agent mistakes caught, independently established test expectations, security and performance checks, CI/CD, hardening, rollout, rollback, and verified production outcomes
Ability to learn unfamiliar systems with AI and apply that understanding after release
Bachelor degree or equivalent experience
Currently authorized to work in the United States without visa sponsorship now or in the future

Benefits

Comp & perks

Benefits offered; specific benefits are not itemized in the posting