Meet the team:

Currently operating as a high-performing analytics team, we are on an exciting journey to transform our operations by embedding AI into every layer of our processes and decision-making frameworks. Our team is focused on evolving from traditional analytics to leveraging cutting-edge AI technologies, enabling smarter workflows, predictive insights, and automation at scale.

As part of this transformation, we are integrating advanced machine learning models, large language models (LLMs), and AI-driven solutions into our operations to enhance efficiency, drive innovation, and unlock new opportunities for growth. Joining us means being part of a forward-thinking team that is redefining how analytics and AI can work together to create impactful solutions for the organization and its stakeholders.

Who you are:

The AI Lead will architect unified systems that merge generative AI capabilities with traditional BI workflows. This involves designing Snowflake-native pipelines that feed both machine learning models and Tableau dashboards, enabling real-time analytics augmented by predictive insights. A critical responsibility includes implementing text-to-SQL interfaces to allow natural language querying of enterprise data warehouses, reducing dependency on technical teams for routine reporting.

The position requires reimagining ETL processes through AI automation, replacing manual data preparation with ML-powered anomaly detection and schema optimization algorithms. Successful candidates will demonstrate experience deploying multi-agent AI systems that generate dashboards, monitor KPIs, and trigger alerts through integrated BI platforms

Responsibilities:

• Build and deploy AI applications across domains such as deep learning, NLP, LLMs (e.g., GPT-4, Claude) and RAG (Retrieval-Augmented Generation).
• Demonstrate strong proficiency in machine learning frameworks and programming languages (Python).
• Architect, plan, and implement AI systems for clients by developing robust data pipelines, ML pipelines, and strategies for training and serving models efficiently.
• Design end-to-end ML operations, including data flow architecture and deployment pipelines, while ensuring scalability and reliability of AI solutions.
• Develop and deliver Tableau dashboards that exemplify excellence in design, functionality, and performance, ensuring they are visually compelling, data-driven, and tailored to meet complex business requirements effectively.
• Develop and optimize prompts for advanced LLMs (e.g., GPT-4, Claude 3.5 Sonnet) and design prompt strategies for AI agent frameworks like LangChain and Hugging Face.
• Drive the replacement of manual workflows with AI-driven automation to enhance operational efficiency across business processes.
• Lead technical deep dives, proofs of concept, workshops, and internal sprints to design industry-specific AI solutions that align with customer needs and promote adoption success.
• Work closely with internal AI business units, engineering teams, and product managers to provide market feedback on products and solutions while ensuring successful deployment of AI initiatives.
• Stay updated on emerging trends in AI/ML technologies to guide the development of cutting-edge solutions that address industry challenges effectively.
• Mentor junior engineers, foster a culture of innovation within teams, and promote continuous learning in AI/ML practices.

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related technical discipline.
• 10+ years of professional BI &Analytics experience, including 3+ years in AI/machine learning roles.
• Proven expertise in Large Language Models (e.g., OpenAI, Anthropic, Google, Llama) and Agentic AI frameworks.
• Minimum 6+ years of hands-on experience in Python programming.
• Advanced proficiency in SQL with hands-on experience optimizing queries in Snowflake for large-scale datasets.
• Strong knowledge of Tableau for creating interactive dashboards integrated with AI-driven insights.
• Strong proficiency in machine learning frameworks (TensorFlow, PyTorch) applied to complex problem-solving scenarios.
• Expertise in developing large-scale AI applications leveraging advanced techniques like RAG (Retrieval-Augmented Generation) and Agent-based architectures.
• Deep understanding of ML modeling, deep learning architectures, transformer models, and GenAI frameworks (LangChain, LangGraph, LangSmith etc.)
• Hands-on experience in building, deploying, and scaling GenAI agents in production environments.
• In-depth understanding of LLM/MLOps, including model evaluation, experimentation, and lifecycle management.
• Demonstrated leadership abilities in strategic decision-making, cross-functional collaboration, and driving AI innovation.
• Exceptional problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:

• Experience deploying multi-agent systems for automating complex BI tasks like report generation or trend analysis.
• Hands-on experience with Snowflake Cortex or similar tools for enabling natural language queries against data warehouses.
• Familiarity with MLOps tools (e.g., Kubeflow) for managing the lifecycle of machine learning models.
• Demonstrated success in integrating advanced AI solutions into enterprise BI platforms to drive measurable business outcomes.

#WeAreCisco (This is the Standard and cannot be changed)

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

When available, the salary range posted for this position reflects the projected hiring range for new hire, 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 the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.