Principal Agentic AI Platform Engineer

🕒 3 days ago

🇺🇸 United States – Remote

💵 $179.1k - $234.1k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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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

• Create a coherent agentic platform engineering approach with shared tool interfaces, reusable skills/workflows, coding conventions, evaluation harnesses, telemetry and adoption patterns • Develop agents and tools integrated with Terraform, Kubernetes, Argo CD/GitOps, cloud APIs, CI/CD, API gateways, Kafka, Redis, databases, observability and change-management systems • Accelerate platform development with AI-supported module/chart creation, code review, infrastructure plan interpretation, test generation, dependency analysis and safe pull-request workflows • Engineer day-two agents for health and drift detection, incident triage, correlated diagnostics, root-cause hypotheses, capacity analysis, upgrade readiness, runbook assistance and recovery verification • Build agentic workflows for Kafka, Redis, relational/document database deployment and scaling, schema/configuration checks, upgrade planning, performance diagnosis, capacity assessments and secure API gateway changes • Use Prometheus, Grafana, Loki, Thanos, Grafana Alloy and OpenTelemetry as operational signal sources • Build controlled operational workflows from read-only diagnosis through recommended actions, gated changes and policy-authorized execution • Enforce scoped identity, least privilege, environment isolation, secrets protection, prompt/tool-injection resistance, validation, approvals, audit trails, timeouts, budgets, kill switches and rollback boundaries • Implement evaluations of agent correctness, false positives, tool behavior, failure handling, security conformance and outcome quality before production rollout • Embed compliance requirements for explainable decisions, traceable evidence, approved change paths, data minimization and continuous control validation in FedRAMP/PCI DSS/SOC 2 environments • Partner with security, SRE/CloudOps and platform teams to define agent permissions, accountable owners and escalation paths • Coach engineers through pairing, playbooks, examples and metrics • Lead adoption by embedding agentic development into real platform delivery and improving patterns through measurement and feedback • Measure adoption and value through cycle time, toil reduction, diagnostic lead time, quality, safe automation rate and reliability

🎯 Requirements

• 7+ years in software/platform engineering, DevOps or SRE with production Kubernetes, Terraform and GitOps depth • Strong Python or Go software engineering, API design, testing, integration and debugging skills • Hands-on building agentic workflows with LLM APIs, tool/function calling and orchestration; ability to explain working systems, evaluations and failure cases • Working understanding of Azure/GCP/AWS, identity, Kubernetes APIs, Argo CD, CI/CD, observability and change processes • Practical knowledge of Kafka, Redis, relational and document databases, API gateways and Kubernetes networking/security • Experience integrating with Prometheus/Grafana, Loki, Thanos, Alloy or comparable metrics, logging and telemetry backends • Strong security judgment for privileged tools, least privilege, zero trust and data access in regulated enterprise environments • Ability to coach technical peers, standardize patterns and introduce new practices across teams without sacrificing operational reliability • Proven comfort with startup-like pace, ambiguous requirements, rapid iterations and shipping measurable engineering outcomes • Bachelor degree or equivalent experience in Computer Science or Engineering • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future • Preferred: MCP and agent-tool protocols, retrieval, event-driven systems, policy engines, sandboxed execution and human-in-the-loop workflows • Preferred: Experience with FedRAMP, PCI DSS, SOC 2 technical evidence requirements and auditable automation • Preferred: Cloud networking and platform services such as Istio, Keycloak, cert-manager, API gateways and DNS • Preferred: Built or operated agents for diagnosis, remediation, deployment safety or infrastructure change at scale

🏖️ Benefits

• Benefits are included with the compensation package • Bonus is included in the stated total compensation range

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