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Distinguished Software Engineer, AI Software & Platform Hybrid - Cisco
Job in
Milpitas, Santa Clara County, California, 95035, USA
Listed on 2026-09-12
Listing for:
OpenTalent
Full Time
position Listed on 2026-09-12
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect
Job Description & How to Apply Below
- Define and champion the enterprise-wide technical strategy for agentic systems, including multi-agent orchestration, planning/reflection loops, and durable execution patterns that operate with hyperscale reliability.
- Negotiate critical build-versus-buy trade-offs at the executive level, influencing corporate-wide investment decisions regarding model frameworks, infrastructure roadmaps, and capability ceilings.
- Drive the adoption of industry-standard interfaces, such as the Model Context Protocol (MCP), across Cisco’s broad product portfolio to create a seamless, interoperable ecosystem for AI agents that can communicate across tools and across vendors
- Establish and enforce rigorous engineering standards and reference architectures for AI, mentoring Principal and Senior staff to elevate the technical bar across the entire AI organization.
- Personally lead the technical resolution of the most complex, high-risk black bo challenges, prototyping and proving out breakthrough methodologies before company-wide commitment.
- Own the security posture of agentic systems, including defenses against prompt injection, scoped tool-permissioning, and sandboxing for autonomous actions that carry write access to production systems.
- Bachelor’s degree in computer science or a related field with 17+ years of total software engineering experience;
Master's with 14+ years; or PhD with 10+ years. - 10+ years of specialized experience in designing and scaling distributed systems, hyperscale cloud platforms, or high-throughput data architectures.
- 5+ years in a Principal-level role (or equivalent) demonstrating sustained technical influence across multiple engineering organizations.
- 3+ years of hands-on experience building and operating LLM-based production systems, including managing model lifecycle, evaluation infrastructure (e.g., Lang Smith, Arize Phoenix, Lang Fuse, Braintrust, or equivalent), and security commitments.
- Experience designing and delivering at least one production-grade multi-agent system or agent-orchestration framework (e.g., Lang Graph, Temporal, or custom high-scale agent SDKs).
- Expertise in AIOps domains, specifically event correlation, root cause analysis, and closed-loop remediation at scale.
- Expertise in AIOps domains, specifically event correlation, root cause analysis, and closed-loop remediation at scale.
- Deep knowledge of inference optimization techniques, including speculative decoding, KV/prefix caching, and model distillation/routing strategies.
- Recognized thought leadership in the external technical community (e.g., patents, published research in top-tier journals/conferences, or significant open-source contributions).
- Comprehensive understanding of global AI governance frameworks (e.g., NIST AI RMF, EU AI Act, ISO 42001) and experience operationalizing compliance in enterprise software.
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