Software Engineering Technical Leader
Top focus
Meet the Team Cisco’s Customer Experience (CX) organization is one of the company's fastest- growing and most innovative teams, crafting a first-in-class digital experience for our customers and partners everywhere they connect with Cisco. CX Platform is a platform-centric to support the diverse requirements of the CX organization and is being built with emerging technologies including predictive AI and generative AI to drive additional customer success.
We are at the epicenter of developing with modern, cloud-native technologies that allow us to stay agile and adaptable in a constantly evolving market. Pioneers in our field, CX enables customers to maximize value with a simple, unified Cisco experience, driving accelerated time to impact.
We deliver on time with high quality & urgency, and we drive decisions with data and transparency while leading with ownership & accountability. Your Impact We are seeking a motivated and detail-oriented Software Engineering Technical Lead to join us.
In this role, you will not only help build persistent, goal-oriented agent systems that "think" and "act" autonomously but also lead the strategic planning and execution of the agentic roadmap. You will bridge the gap between technical innovation and project delivery, ensuring that our autonomous systems are built on time, align with cross-functional milestones, and integrate seamlessly into the broader ecosystem.
Key responsibilities include designing, building, and deploying autonomous agents that operate within dynamic environments, making independent decisions to achieve goals. You will lead the end-to-end lifecycle of agentic projects, defining project scopes, breaking down complex technical requirements into actionable tasks, and managing the team’s backlog to ensure high-velocity delivery.
Implementing multi-agent, collaborative systems and designing complex agent workflows using frameworks like LangGraph/LangChain will be part of your role. You will act as the primary technical point of contact to coordinate schedules and dependencies across multiple teams, ensuring that agentic capabilities are synchronized with organizational priorities.
Developing and integrating tools, APIs, and databases for agents to interact with, enabling real-world actions, is essential. You will optimize large language model (LLM) interactions, including prompting, fine-tuning, and context management to enhance reasoning and reduce hallucinations.
Providing regular status updates and risk assessments to leadership regarding project timelines and technical blockers is expected. Additionally, you will collaborate with engineering teams to integrate autonomous capabilities into existing software development life cycles (SDLC), championing Agile methodologies and best practices for task tracking and documentation
Minimum Qualifications
- Advanced degree in Computer Science, Information Systems, Engineering, Mathematics
- a related field with minimum of 10+ years of experience in advanced software development, with at least 2-3 years in a technical leadership or project management capacity.
- Proven experience in task planning and project management tools (e.g., Jira, Asana, or Microsoft Project) and a track record of managing cross-functional technical schedules.
- Proficiency in Python: Strong programming skills in languages common to AI development and data engineering pipelines.
- Framework Proficiency: Deep experience with LangChain, LangGraph, AutoGen, or similar agentic frameworks.
- Excellent communication skills with the ability to translate technical milestones into project timelines for non-technical stakeholders
Preferred Qualifications
- Experience building applications with Claude, OpenAIfrontier models
- open-source LLM Ecosystems Strong understanding of large language models (LLMs), including how they work and how to train and focus them on specific areas Expertise with using AI Development Tools like Claude Code, Codex, Snowflake Cortex etc.
- Experience with cloud-based data platforms such as Snowflake.
- SQL skills, including complex query development, performance tuning, and query optimization.
- Experience designing, building, and maintaining scalable data engineering pipelines for batch data processing to serve the data for AI Agents.
- Experience with workflow orchestration and scheduling frameworks such as Dagster and/or Apache Airflow.
- Experience designing, deploying, and operating applications and data solutions on cloud, including leveraging cloud-native services for scalability, reliability, and security.
- Familiarity with cloud architecture best practices, infrastructure automation, advanced CICD pipelines and production deployment patterns.
- Proactive "Go Getters" comfortable in fast-paced environments Why Cisco?
- At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.
- We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds.
- These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
- Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.
- Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless.
- We work as a team, collaborating with empathy to make really big things happen on a global scale.
- Because our solutions are everywhere, our impact is everywhere.
- We are Cisco, and our power starts with you.