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High: Tier-1 brand, mid-level generalist AI role, and highly sought GenAI skills increase applicant density.
Medium: GenAI and MLOps skills transfer across industries but require specific tooling and enterprise compliance experience.
High: explicit 5+ years requirement plus mandatory Python, production GenAI, MLOps, and DevOps experience.
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Develop and manage scalable, secure Generative AI applications and frameworks including Retrieval Augmented Generation (RAG) and Agentic AI for enterprise document management and compliance.
Ensure high-quality software development with secure coding practices, user privacy focus, and operational excellence including troubleshooting, on-call duties, and postmortems.
Collaborate cross-functionally with architects and leadership to deliver AI-first solutions that advance Cisco’s strategic digital transformation goals.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related STEM field with 5+ years experience OR Master’s degree with 3+ years experience.
Proficiency in Python programming and software engineering best practices for large-scale, containerized distributed applications.
Experience with DevOps, CI/CD tooling, and frontend frameworks such as Angular or React.
Work Experience Required: 5+ years related experience with Gen AI and software development (explicit in context with qualification and responsibilities).
Experienced in building and optimizing production-grade Gen AI platforms with focus on data security, compliance, and scalable AI workflows.
Skilled in advanced Agentic AI workflow orchestration and use of Gen AI frameworks like LangChain, LlamaIndex, LangSmith.
Able to independently lead software lifecycle activities and drive AI-first engineering priorities within a collaborative, enterprise-scale environment.