DevOps AI ML Engineer

Job Title: DevOps AI/ML Engineer (India-based, US Team Collaboration)

Meet the team:

The Office of the CEO at Cisco is looking for a highly expert, innovative, and self-motivated DevOps AI/ML Engineer to join our Customers Insights & Action (CIA) organization. In this critical role, you will drive the development, deployment, and production readiness of scalable AI and machine learning models, with a particular focus on Agentic and Generative AI (GenAI) and predictive capabilities. This role requires a deep understanding of AI/ML principles, hands-on experience with relevant technologies, and the ability to work effectively individually in a remote environment as well as collaborate with teams cross-functionally.

Key Responsibilities:

As an AI/ML Engineer in CIA, you will:

• Design, build, and deploy model AI and ML pipelines as well as orchestrating multi-agent systems with memory, reflection, and planning flow.
• Architect Retrieval-Augmented Generation (RAG) systems integrated into agentic workflows and vector databases for embeddings and retrieval.
• Build modular, maintainable software in Python, following full software lifecycle practices (design, coding, unit testing, CI/CD).
• Work with FastAPI or equivalent frameworks to expose agent workflows via RESTful APIs.
• Implement embedding layers and vector DB integrations (e.g., Milvus, Weaviate, Redis) for high-perf retrieval and similarity search.
• Conduct rigorous unit tests and integration tests, owning test coverage and reliability for agent components.
• Stay updated with the latest advancements in AI/ML technologies, mentor junior engineers, propose architectural improvements, and participate in code reviews

Minimum Qualifications

• Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning (or related field /industry) + 8 years of DevOps experience, Masters + 6 years of related experience, or PhD + 3 years of related experience.
• Expert-level proficiency in Python, R, or Java and as well as API frameworks (e.g. FastAPI) and AI/ML frameworks and libraries (e.g., Scikit-learn, PyTorch, TensorFlow, etc.)
• Understanding of Agentic AI concepts—autonomy, planning loops, memory, tool use in LLM-driven agents
• Hands-on experience with ADK, LangChain, LangGraph, LangSmith, Langgraph Studio (for graph workflows, long-term memory, stateful agents)
• Strong understanding of CI/CD pipelines and automation tools.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Proven knowledge of ML lifecycle management and model versioning.
• Strong problem-solving skills with the ability to think critically and creatively.

Preferred Qualifications

• Experience deploying Google Cloud Services (especially Vertex AI Agents) in production agent environments
• Familiarity with feature stores, vector databases, or data observability platforms
• Excellent communication, collaboration, and mentoring skills.
• Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, GitLab, ArgoCD, or similar.
• Strong proficiency in Kubernetes, Docker, and cloud-native patterns in AWS, Azure, or GCP.
• Excellent verbal and written communication skills to effectively collaborate and mentor remote team members as well as present findings.

#WeAreCisco

WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage.

Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all.

---