Principal AI Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $179.1k - $234.1k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Avaya

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2022-06

Consulting • Marketing • Logistics

Avaya is a leading provider of customer experience and communication solutions, empowering enterprises to innovate without disruption. The company offers a comprehensive suite of AI-driven technologies designed to enhance customer journeys, streamline employee engagement, and drive business growth, ensuring consistent, high-quality interactions across all channels. Avaya's platforms, such as the Avaya Experience Platform and Communication & Collaboration Suite, facilitate seamless cross-channel communication and collaborative workflows for organizations across a variety of industries.

📋 Description

• 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

• 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

• Benefits offered; specific benefits are not itemized in the posting

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