Extreme Networks · 2 months ago
Principal API Architect AI & Microservices-10094
Texas, United States
Full-time
Hybrid
Lead/Staff
8+ years expExtreme Networks is a global networking leader providing cloud-driven solutions to over 50,000 customers. They are seeking a Principal API Architect to innovate with generative AI and microservices, focusing on designing APIs that support AI-driven network management and ensure best practices in API architecture.
Communication HardwareComputerInformation TechnologyInternet of ThingsNetwork Hardware
Responsibilities
Define and govern API standards across REST/gRPC and event-driven interfaces, emphasizing forward/backward compatibility, additive change safety, and clear deprecation policies
Design APIs that form the Core AI integration layer, delivering high-quality, machine-readable contracts, consistent resource models, typed error codes, and agent/tool specifications suitable for function calling and automation
Integrate Model Context Protocol (MCP) principles into API design to ensure seamless interoperability with AI agents and orchestration frameworks. This includes defining tool schemas, context negotiation, and safe execution boundaries for agent-driven workflows
Partner with AI/ML teams to optimize APIs for agentic workflows: streaming, pagination tokens, consistent envelopes, explicit contracts for tool use, and predictable rate-limit headers for planner/runtime alignment
Champion Operational Excellence (OE) and Engineering Excellence (EE) for API lifecycle: design reviews, contract/consumer-driven testing, schema evolution, semantic versioning, release notes, and automated documentation/SDK generation
Advance resiliency patterns: idempotency, retries with jitter, circuit breakers, dynamic throttling for bursty AI Workloads, timeouts, request hedging, long-running job orchestration, and zero-downtime deployments
Mentor engineers and set governance: reviews, linting rules, style guides, compliance, golden paths, and reference implementations that promote repeatable excellence
Collaborate across product & platform teams to align API roadmaps with business outcomes, ensuring compatibility across Extreme’s portfolio and partner ecosystems
Qualification
Required
BS in Computer Science or related field
8+ years designing and building large-scale microservices and APIs; 3+ years driving API standards or architecture across multiple teams
Deep expertise with REST/gRPC and OpenAPI 3.1 / JSON Schema / AsyncAPI, with proven ability to design APIs that are forward/backward compatible and optimized for machine consumption
Hands-on experience implementing MCP-compliant APIs for AI orchestration, including tool schema definition, context negotiation, and secure execution boundaries
Strong grasp of security for AI-integrated systems: fine-grained scopes, and safe execution boundaries for agent-driven workflows
Hands-on experience with dynamic throttling, adaptive rate limiting, and quota enforcement to support AI-driven bursty workloads and multi-agent orchestration
Experience with resilience patterns critical for AI orchestration: idempotency keys, retries with jitter, circuit breakers, timeouts, and bulkheads for high-concurrency environments
Cloud-native delivery on AWS/Azure/GCP with container orchestration (Kubernetes), CI/CD pipelines, and zero-downtime deployment strategies (blue/green, canary)
Solid programming skills in Golang, Java or Python with ability to generate SDKs and developer tooling for AI-friendly APIs
Excellent communication and cross-functional collaboration, capable of leading design reviews and documenting standards that enable AI/agentic integration at scale
Preferred
MS or PhD in Computer Science or equivalent experience
Deep expertise in architecting distributed microservices and systems, either building them from the ground up or significantly enhancing existing architectures to boost availability and performance
Knowledge of agentic platforms, RAG pipelines, vector stores, and data contracts for AI-driven workflows
Experience with API gateways and service meshes for policy enforcement and traffic shaping in AI-heavy environments
Background in contract testing, fuzzing, chaos engineering, and performance benchmarking under AI-scale loads
Networking domain exposure and real-time systems optimized for AI inference loops
Awareness of data privacy/compliance for AI workloads (PII handling, retention, auditability) and multi-tenant isolation strategies
Experience partnering with product and program management teams
Strong understanding and passion for ML and generative AI
Company
Extreme Networks
Extreme Networks provides wired and wireless networking solutions to enhance connectivity for businesses and organizations.
1001-5000 employees
H1B Sponsorship
Extreme Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (22)
2023 (25)
2022 (26)
2021 (23)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.3MKey Investors
Kleiner Perkins
1999-04-09IPO
1997-05-08Series B· $12.3M
1996-05-01Series A· $5M
Leadership Team
Edward Meyercord
Chief Executive Officer, President and Director
Nabil Bukhari
President, AI Platforms and Chief Technology Officer
Recent News
Morningstar.com
2026-01-07
Norwest
2025-12-31
2025-12-24
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