Job InformationJob Family: Research and Development
Job Function: Software Engineering
Position OverviewWe are seeking a high-performing, hands-on Principal Engineer to lead the development of reliable integrations and next-generation AI platform capabilities for Avaya Infinity™. In this role, you will bridge the gap between distributed systems engineering and machine learning operations (MLOps) to build a robust foundation for intelligent, agent-assisted workflows.
Agentic development is at the absolute core of our engineering philosophy. You will not just write code; you will act as a systems architect and director, guiding AI coding agents to implement solutions while you retain ultimate ownership of system design, security, reliability, and production behavior.
Ownership and Delivery- Proactive Problem Solving: Actively identify architectural and operational gaps, propose structured solutions, and assume end-to-end ownership to drive initiatives from concept to successful completion.
- Transparent Communication: Articulate technical trade-offs with clarity, surface project blockers early to prevent timeline slips, and actively share knowledge to elevate the technical capabilities of the peer team.
- Post-Release Accountability: Maintain steadfast accountability for code in production by investigating system failures, synthesizing user feedback, and continuously iterating to improve performance and reliability outcomes.
Responsibilities- 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.
Required Experience- Hands-on production development in Go (Golang) or Rust and working Python proficiency, with 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.
Required Agentic Development Experience- 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.
- 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.
- Independently understand, maintain, and debug the code. Explain agent mistakes caught, tests with independently established expectations, security and performance checks, CI/CD, hardening, rollout, rollback, and verified production outcomes.
- Learn unfamiliar systems with AI and apply that understanding after release. Tool familiarity, autocomplete, or prototype-only work does not establish this experience.
Preferred Experience- Advanced LLM Orchestration: Hands-on experience designing and operating LLM provider integrations, multi-model routing systems, runtime usage and cost controls, semantic drift monitoring, and evaluation-driven release pipelines.
- Robust Runtime Architectures: Deep expertise building agent runtimes, orchestrating durable workflow engines, and delivering highly concurrent production systems using both Go and Rust across multi-cloud environments (GCP and Azure).
EducationBachelor degree or equivalent experience
Pay TransparencyThe pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position. Actual total compensation will vary and is based on factors such as a candidate's qualifications, skills, and competencies.
This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.
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