Software Engineering Technical Leader | Enterprise AI Platforms, Infrastructure & Automation

Overview

Serve as a multi-layered technical authority and system architect for Cisco Enterprise AI Platforms & Infrastructure, designing complete and complex frameworks, systems and platforms that power Cisco's agentic AI products and developer ecosystem.

What you'll do

• Apply specialized technical mastery to solve intricate architectural problems and define industry-leading standard methodologies.
• Lead multi-team engineering initiatives from inception through completion, including workload, technical dependencies and workstreams.
• Shape and drive the multi-year software engineering roadmap, aligning technical architecture with business and customer outcomes.
• Lead end-to-end design, implementation and delivery of major architectural frameworks, critical platform subsystems and high-impact features.
• Author clean, robust and highly optimized code and automated test suites that set the gold standard for engineering excellence.
• Champion architectural principles centered on security, scalability, token throughput and high-availability runtime reliability.
• Drive product threat modeling, identify vulnerability attack surfaces, and enforce zero-trust privacy and compliance standards.
• Proactively identify, prioritize and eliminate systemic risks, and design robust observability tooling to monitor telemetry and optimize runtime performance.
• Serve as the ultimate technical escalation point for critical production outages, lead blameless postmortems, review RCAs and govern on-call rotations.
• Serve as a recognized authority on multiple functional components, subsystems and developer APIs across the broader AI ecosystem.
• Articulate complex design trade-offs, integrate market and competitive dynamics into technical choices, and track product adoption and performance metrics.
• Provide accurate project scoping, establish reliable estimations, and negotiate technical trade-offs with multi-functional stakeholders.
• Advance agile engineering practices, elevate SDLC standards and establish modern engineering workflows across teams and partner organizations.
• Mentor and sponsor senior engineers, tech leads and peers, and drive knowledge sharing through architecture sessions, technical blogs and external publications.

What you'll need

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related STEM field plus 8 years of related experience; OR Master's degree plus 6 years of related experience; OR Ph.D. plus 3 years of related experience.
• In-depth conceptual and practical expertise in software engineering, distributed systems and platform architecture, with a confirmed history of mastering and applying a wide spectrum of modern technologies.
• Mastery of hands-on software development in core languages (e.g., Python, TypeScript/JavaScript, Go, C++, or Rust) with demonstrated success in designing and shipping enterprise-scale, critically important systems.
• Consistent track record of serving as a technical lead or systems architect for multi-functional engineering teams, authoring technical design RFCs, and establishing engineering standard methodologies across the SDLC.
• Extensive experience in system profiling, distributed debugging, automated testing strategy and leading high-severity production root cause analysis (RCA).

Nice to have

• Advanced expertise in Generative AI architectures, Agentic AI systems, Model Context Protocol (MCP), LangGraph, LlamaIndex, vLLM and multi-agent coordination frameworks.
• Deep experience architecting high-throughput, low-latency microservices, event streaming platforms (Kafka), asynchronous state machines and distributed caching (Redis).
• Proven knowledge of GPU computing infrastructure, CUDA optimization, Triton Inference Server, high-density server architectures and container orchestration (Kubernetes, Docker).
• Expertise in enterprise identity, security and access protocols including OAuth 2.0 / RFC 8693 Token Exchange, Zero Trust architecture and automated threat modeling.
• Demonstrated experience designing enterprise observability frameworks (OpenTelemetry, Prometheus, Grafana, Splunk) with automated canary and self-healing deployment pipelines.
• Active technical contributions to open-source software, published whitepapers, patents in AI/systems engineering, or prominent tech talks at industry conferences.
• Outstanding executive communication, negotiation and partner management skills, capable of influencing senior engineering leadership and product direction.

Details

• Location: Bangalore, India.