Sr AI/ML Software Engineer

The application window is expected to close on: 03/27/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

• **This is a hybrid position requiring 3 days a week in our office located in Milpitas, CA.***

Meet the Team

Our team delivers end‑to‑end engineering across the software stack, specializing in Linux kernel development, Yocto‑based open‑source systems, and platform security. We maintain and evolve the core kernel, integrate and optimize Yocto layers, and drive security hardening with a strong focus on CVE triage, patching, and compliance.

We are also building the next generation of intelligent engineering tools through Agentic AI applications that accelerate developer productivity, automate debugging workflows, and enhance system observability. In parallel, we develop machine learning solutions for hardware failure prediction, enabling proactive reliability management and data‑driven product quality improvements.

Together, we combine deep systems expertise with advanced AI capabilities to deliver a secure, reliable, and intelligent software platform.

Your Impact

Senior AI/ML Engineer to architect and build agentic AI systems and the MCP (Model Context Protocol) server layer that securely exposes enterprise tools, knowledge, and actions to LLM agents. You’ll lead the end-to-end lifecycle of ML applications from data and modeling to deployment, observability, and safety while setting platform standards for reliability, security, and developer experience.

Minimum Qualifications:

• BS/MS in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related technical field.
• 7+ years of industry experience delivering production AI/ML systems or developer platforms at scale.
• Experience with Python, plus one of the following: Go/Java/C++/Rust.
• Experience building agentic AI systems (tool-using agents, autonomous workflows, decision/action pipelines).
• Hands-on experience designing, implementing, and operating MCP servers (capabilities, sessions, schemas, secure integrations).
• Knowledge of LLMs & GenAI: prompting, RAG, vector search, fine-tuning/LoRA, safety/guardrails, evaluation.
• Production experience with cloud (Azure/AWS/GCP), Docker/Kubernetes, CI/CD, and observability (metrics, tracing, logging).

Preferred Qualifications

• Shipped enterprise-grade MCP servers integrating internal tools and external SaaS.
• Experience with LangChain, Semantic Kernel, or agent frameworks; Hugging Face Transformers, PyTorch/TensorFlow/JAX.
• Retrieval systems & vector DBs (FAISS, Milvus, Weaviate, Pinecone); hybrid search and embedding strategies.
• Strong data engineering background: streaming/batch (Kafka/Kinesis/Pub/Sub; Spark/Beam), SQL/NoSQL, data lakes/warehouses.
• Security & governance: OAuth/OIDC, secrets management, KMS, RBAC/ABAC, SOC 2/ISO 27001, GDPR/CCPA familiarity.
• Contributions to open-source in LLM tooling, agent frameworks, or retrieval/search.

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 limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following con