Cisco Systems, Inc.
Technical Lead, Software Engineer - AI Assistant
Cisco Systems, Inc., Milpitas, California, United States, 95035
Technical Lead, Software Engineer - AI Assistant
Location: Milpitas, California, US
Alternate Location: Seattle, Washington
Area of Interest: Engineer - Software
Compensation Range: 210600 USD - 305100 USD
Job Type: Professional
Technology Interest: AI or Artificial Intelligence
Job Id: 1451396
What You Will Do
Architect and lead technical integration of major Cisco product lines (e.g., Webex, Meraki, ThousandEyes, AppDynamics) by integrating frameworks for seamless deployment of AI agents across Cisco’s network, collaboration, and observability domains.
Develop APIs, SDKs, and microservices enabling data, model, and workflow interoperability between Canvas and Cisco products.
Lead end-to-end development of the AI Canvas Developer Portal—a self-service hub for developers to access APIs, SDKs, documentation, sample apps, and sandboxes.
Integrate telemetry, analytics, and feedback loops to measure developer engagement and continuously improve the experience.
Drive technical strategy and roadmap for Cisco + Canvas integrations aligned with Cisco’s AI-first strategy.
Design and build effective interfaces between AI services, ensuring smooth communication and data exchange while adhering to security and performance requirements.
Collaborate with UX designers and analyze user feedback to identify frictional workflows, then build tools to streamline those processes.
Collaborate with LLM engineers to optimize prompt-tool interactions.
Serve as a senior architect and mentor for cross-functional engineering teams.
Basic Qualifications
10+ years in software engineering, systems architecture, or platform development.
3+ years of experience in software engineering, with recent exposure to AI assistants.
Expertise in building scalable, production-grade AI services leveraging public cloud infrastructure, containerization (Kubernetes, Docker), and CI/CD pipelines.
Hands-on experience creating enterprise Generative AI solutions using prompt engineering, LLM fine-tuning, and orchestration tools (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen) integrated in public cloud ecosystems.
Hands-on experience with NLP techniques including text classification, sentiment analysis, NLG, and working with large language models.
Familiarity with AI/ML pipelines, MLOps, or AI infrastructure platforms (e.g., Vertex AI, OpenAI, AWS Sagemaker).
Hands-on experience with Python, Go, TypeScript, React and API frameworks (GraphQL, REST).
Deep understanding of developer experience principles and portal/platform architecture.
Excellent communication and leadership skills, with the ability to influence cross-functional stakeholders.
Preferred Qualifications
Experience in security focused SaaS providers.
Prior experience building developer portals or marketplaces.
Familiarity with AI governance or compliance in enterprise settings.
The capacity to think critically and tackle complex, innovative problems in the field.
A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI.
Background in leading open-source or internal developer tooling initiatives.
Why Cisco? #WeAreCisco
Where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
We celebrate our employees' diverse backgrounds and focus on unlocking potential. Cisco supports learning, development, and hybrid work trends. Our culture includes inclusive communities and volunteering time off to give back.
Our purpose is to be the worldwide leader in technology that powers the internet, helping customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet sustainability goals.
#CiscoAIJobs
Message to applicants applying to work in the U.S. and/or Canada When available, the salary range posted for this position reflects the projected hiring range for new hires, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by location and other factors.
U.S. employees have access to medical, dental, and vision insurance, a 401(k) plan with Cisco matching, disability coverage, basic life insurance, and wellbeing offerings. Paid holidays, vacation, sick time, and other time-off policies apply as described in Cisco’s policies.
Sign up to receive notifications of similar jobs #J-18808-Ljbffr
Alternate Location: Seattle, Washington
Area of Interest: Engineer - Software
Compensation Range: 210600 USD - 305100 USD
Job Type: Professional
Technology Interest: AI or Artificial Intelligence
Job Id: 1451396
What You Will Do
Architect and lead technical integration of major Cisco product lines (e.g., Webex, Meraki, ThousandEyes, AppDynamics) by integrating frameworks for seamless deployment of AI agents across Cisco’s network, collaboration, and observability domains.
Develop APIs, SDKs, and microservices enabling data, model, and workflow interoperability between Canvas and Cisco products.
Lead end-to-end development of the AI Canvas Developer Portal—a self-service hub for developers to access APIs, SDKs, documentation, sample apps, and sandboxes.
Integrate telemetry, analytics, and feedback loops to measure developer engagement and continuously improve the experience.
Drive technical strategy and roadmap for Cisco + Canvas integrations aligned with Cisco’s AI-first strategy.
Design and build effective interfaces between AI services, ensuring smooth communication and data exchange while adhering to security and performance requirements.
Collaborate with UX designers and analyze user feedback to identify frictional workflows, then build tools to streamline those processes.
Collaborate with LLM engineers to optimize prompt-tool interactions.
Serve as a senior architect and mentor for cross-functional engineering teams.
Basic Qualifications
10+ years in software engineering, systems architecture, or platform development.
3+ years of experience in software engineering, with recent exposure to AI assistants.
Expertise in building scalable, production-grade AI services leveraging public cloud infrastructure, containerization (Kubernetes, Docker), and CI/CD pipelines.
Hands-on experience creating enterprise Generative AI solutions using prompt engineering, LLM fine-tuning, and orchestration tools (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen) integrated in public cloud ecosystems.
Hands-on experience with NLP techniques including text classification, sentiment analysis, NLG, and working with large language models.
Familiarity with AI/ML pipelines, MLOps, or AI infrastructure platforms (e.g., Vertex AI, OpenAI, AWS Sagemaker).
Hands-on experience with Python, Go, TypeScript, React and API frameworks (GraphQL, REST).
Deep understanding of developer experience principles and portal/platform architecture.
Excellent communication and leadership skills, with the ability to influence cross-functional stakeholders.
Preferred Qualifications
Experience in security focused SaaS providers.
Prior experience building developer portals or marketplaces.
Familiarity with AI governance or compliance in enterprise settings.
The capacity to think critically and tackle complex, innovative problems in the field.
A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI.
Background in leading open-source or internal developer tooling initiatives.
Why Cisco? #WeAreCisco
Where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
We celebrate our employees' diverse backgrounds and focus on unlocking potential. Cisco supports learning, development, and hybrid work trends. Our culture includes inclusive communities and volunteering time off to give back.
Our purpose is to be the worldwide leader in technology that powers the internet, helping customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet sustainability goals.
#CiscoAIJobs
Message to applicants applying to work in the U.S. and/or Canada When available, the salary range posted for this position reflects the projected hiring range for new hires, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by location and other factors.
U.S. employees have access to medical, dental, and vision insurance, a 401(k) plan with Cisco matching, disability coverage, basic life insurance, and wellbeing offerings. Paid holidays, vacation, sick time, and other time-off policies apply as described in Cisco’s policies.
Sign up to receive notifications of similar jobs #J-18808-Ljbffr