Principal AI Platform Engineer

🔥 il y a 12 heures

🇺🇸 États-Unis – Télétravail

💵 $179 127 - $234 100 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 1%

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• Publiée récemment.
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Avaya

Site WebLinkedInTous les Emplois

5001 - 10000 employés

💼 Conseil

📣 Marketing

📦 Logistique

💰 Post-IPO Debt en 2022-06

Consulting • Marketing • Logistics

Avaya est un fournisseur de premier plan de solutions d'expérience client et de communication, permettant aux entreprises d'innover sans perturber leur fonctionnement. L'entreprise propose une suite complète de technologies pilotées par l'IA conçues pour améliorer les parcours clients, rationaliser l'engagement des employés et stimuler la croissance des entreprises, tout en garantissant des interactions cohérentes et de haute qualité sur tous les canaux. Les plateformes d'Avaya, telles que la Avaya Experience Platform et la Communication & Collaboration Suite, facilitent une communication inter-canaux fluide et des flux de travail collaboratifs pour les organisations de divers secteurs.

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

🎯 Exigences

• 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

🏖️ Avantages

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

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