CX Machine Learning Engineer
About The Position
Cisco’s Customer Experience (CX) Engineering organization builds AI-powered experiences and capabilities through Cisco IQ. The team applies Generative AI, AI/ML, intelligent agents, automation, and data-driven insights to transform customer and partner experiences, delivering secure, scalable, production-ready solutions. In this role, you will architect, build, and scale enterprise-grade AI/ML and Generative AI solutions—including predictive models, RAG architectures, and autonomous agentic workflows—for Cisco IQ and Cisco’s next-generation Customer Experience platform. You will work across the full machine learning lifecycle, owning data pipelines, low-latency model serving, and LLMOps infrastructure, and establishing automated evaluation and observability frameworks to support accurate, reliable performance at scale. You will partner with product managers, data scientists, and software engineering teams to turn business needs into secure production capabilities while advancing technical excellence, responsible AI governance, and measurable customer outcomes. This is a hybrid role requiring three days per week in the office in San Jose, California.
Requirements
- Bachelor’s degree with 7 or more years of related experience, or a master’s degree with 4 or more years of related experience.
- Programming experience in Python and/or Java, including designing, developing, testing, and deploying production-grade software applications, APIs, and/or distributed services.
- AI/ML experience developing, training, evaluating, and deploying machine learning models using PyTorch, TensorFlow, scikit-learn, XGBoost, or equivalent technologies.
- Generative AI/LLM development experience, including applications using LLMs, RAG, embeddings/vector databases, prompt engineering, AI agents, and/or LLM evaluation and observability tools.
- Experience building data pipelines and data-intensive applications using SQL, Spark, Kafka, ETL/ELT frameworks, cloud data platforms, or equivalent data engineering technologies.
Nice To Haves
- Hands-on experience designing and building Generative AI and agentic AI applications, including RAG, multi-agent workflows, tool/function calling, prompt engineering, embeddings, vector databases, and context management.
- Experience with LLMOps/MLOps and AI evaluation/observability, including model monitoring, automated evaluation frameworks, and techniques for measuring model quality, accuracy, latency, reliability, and cost.
- Experience building and deploying cloud-native AI/ML applications and data platforms using AWS or Google Cloud, and technologies such as Docker, Kubernetes, REST APIs, microservices, CI/CD, and modern data processing frameworks.
- Proficiency with AI-assisted software engineering tools such as GitHub Copilot, Claude/Claude Code, Cursor, or similar tools.
- Ability to independently own complex technical problems, collaborate across engineering, product, architecture, and data science teams, communicate technical concepts effectively, mentor other engineers, and deliver high-quality production solutions.
Responsibilities
- Architect, build, and scale enterprise-grade AI/ML and Generative AI solutions, including predictive models, RAG architectures, and autonomous agentic workflows.
- Build capabilities that power Cisco IQ and Cisco’s next-generation Customer Experience platform.
- Own robust data pipelines, low-latency model serving, and LLMOps infrastructure across the machine learning lifecycle.
- Establish automated evaluation and observability frameworks for accurate and reliable performance at scale.
- Partner with product managers, data scientists, and software engineering teams to translate business needs into secure, production-ready capabilities.
- Drive technical excellence, responsible AI governance, and measurable customer outcomes.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan with Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Paid holidays and a floating holiday for non-exempt employees
- Paid birthday day off, year-end holiday shutdown, and personal wellness days
- Paid vacation or flexible vacation time off, depending on employee classification
- Paid sick time
- Additional paid time away may be requested for critical or emergency family issues
- Optional paid volunteer days
- Annual bonuses for eligible non-sales employees
- Potential Cisco restricted stock unit grants
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What This Job Offers
Job Type
Full-time
Career Level
Senior
