# Machine Learning Engineering Technical Leader at Cisco

Cisco is hiring a Machine Learning Engineering Technical Leader in San Jose, United States. It pays $257k-$333k a year and Level rates it Little AI ●○○○; you can [apply on Cisco](https://jobsbylevel.com/go/fe1373bb-92c4-4e66-a65a-acb265f6acf0?utm_medium=ai-agent).

AI Level 1, AI centrality 27 out of 100. San Jose, California, US.

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 1 (score 27 out of 100)
- Location: San Jose, California, US
- Salary: $257k-$333k
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/fe1373bb-92c4-4e66-a65a-acb265f6acf0?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/machine-learning-engineering-technical-leader-at-cisco-36de96

## Description

The application window is expected to close on: 11/19/2026 MEET THE TEAM The AI Software & Platform Team designs and operates the core platform infrastructure that connects Cisco’s enterprise product dashboards with intelligent, agentic AI capabilities. By building a multi-service architecture of agentic orchestrators and high-throughput API gateways, the team ensures that AI capabilities are integrated seamlessly into the larger Cisco ecosystem to drive real-time operational workflows at scale. The team is composed of highly technical engineers working with Go and Python microservices, fostering a vibe of high-scale innovation and security resilience. It is an exciting time to join the team as we define the future of agentic AI orchestration and distributed system trust within the enterprise. YOUR IMPACT As a Senior Technical Lead , you will own the architectural direction and cross-service technical execution for our distributed AI platform to ensure robust identity and multi-tenancy. You will author end-to-end technical specifications for platform capabilities to decompose complex system designs into executable work streams across multiple engineering teams. You will harden service-to-service communication by deploying cryptographic identity signing and zero-trust verification to enhance fleet security. Additionally, you will lead structured CVE remediation and production triage to maintain system stability and security resilience. Success in this role means establishing high engineering standards and mentoring senior engineers to drive the platform's technical maturity. MINIMUM QUALIFICATIONS Education & Experience : Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline + 12+ years of professional software engineering experience; OR Master’s degree with 10+ years; OR PhD with 7+ years; OR an equivalent combination of education and verified industry software engineering experience. Distributed Systems Engineering : Minimum of 8 years designing, building, and operating high-concurrency, distributed backend microservices in production, with demonstrable proficiency in both Go and Python . Identity & Security : Minimum of 4 years designing and implementing enterprise authentication and authorization systems (e.g., OAuth 2.0 / OIDC, JWT, RFC 8693 token exchange, mTLS ). AI & Agentic Systems : Demonstrated experience building or integrating LLM orchestration frameworks , agentic runtimes (e.g., ReAct), tool-calling interfaces, or Model Context Protocol (MCP) servers. Cloud Infrastructure : Hands-on experience deploying and operating services on Kubernetes with automated secret management and distributed tracing ( OpenTelemetry/APM ). PREFERRED QUALIFICATIONS Experience designing API gateways , gRPC/protobuf service definitions, and shared client libraries across large monorepos. Experience with distributed workflow engines (e.g., Temporal ) and real-time event streaming (SSE, WebSockets, Kafka). Experience with feature flag lifecycle management and targeting using tools like LaunchDarkly . Experience leading remediation programs in collaboration with internal offensive security or red-team penetration testing groups. Experience integrating vector databases (e.g., Weaviate, Milvus, Qdrant) and relational databases ( PostgreSQL/pgx ) at scale. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/machine-learning-engineering-technical-leader-at-cisco-36de96

Source: https://jobsbylevel.com/jobs/machine-learning-engineering-technical-leader-at-cisco-36de96

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