Data Scientist: Process Automation Solutions Designer

Join Intuit's Intelligent Process Automation (IPA) team within the Customer Success organization. As an Intelligent Process Automation Solutions Designer, you will bridge business strategy and technical execution — designing, automating, and optimizing end-to-end workflows that drive transformation across Intuit's service and operational ecosystems.

This role combines strategic systems architecture with deep technical implementation expertise in automation, AI/LLM integration, and cloud-based process design. You will act as both a business process strategist and a hands‑on automation engineer, ensuring that every automation directly enhances business outcomes, scalability, and customer experience.

End-to-End Automation Design & Architecture

• Lead the design and deployment of intelligent process automation solutions across Customer Success and adjacent business units.
• Architect integrated systems connecting CRM, data pipelines, APIs, and AI services using AWS infrastructure, Jenkins, and microservice (MSAAS) environments.
• Translate business requirements into solution blueprints and software design documentation that define data flow, integration points, and automation logic.
• Oversee solution design from conceptualization to production, ensuring alignment with the company's automation strategy and governance frameworks.

AI and Agentic Systems Development

• Build, train, and validate functional models — both classical ML (classification, regression, ranking) and LLM-based (fine-tuning, prompt engineering, RAG) — not just orchestration layers on top of third-party APIs.
• Build Agentic AI capabilities that can autonomously perform business processes or support human decision-making.
• Design and implement LLM-based interfaces and workflows for process orchestration, text understanding, and automation triggering.
• Prototype, evaluate, and deploy new AI/ML and natural language processing solutions, ensuring measurable business value and compliance with data governance standards.

Technical Implementation & Integration

• Develop, test, and deploy Python-based automation frameworks, scripts, and microservices for workflow optimization.
• Implement robust CI/CD pipelines using Jenkins and AWS tools for automated deployment and version control of process automations.
• Ensure automations are secure, compliant, and scalable, leveraging AWS security frameworks and best practices.

Business Partnership and Ownership

• Collaborate closely with business leaders, product managers, and data engineers to identify automation opportunities and define success metrics.
• Act as a translator between business needs and technical execution, ensuring every automation aligns with key performance indicators (CSAT, efficiency, ROI).
• Exhibit strong ownership and accountability — from ideation through implementation and performance monitoring.

Continuous Innovation & Enablement

• Contribute directly to a culture of continuous improvement and innovation across automation initiatives.
• Evaluate new technologies, frameworks, and AI capabilities relevant to intelligent process automation.
• Lead proof-of-concepts and pilot programs for cutting-edge automation use cases.
• Mentor peers and contribute to the center of excellence for automation design, governance, and best practices.

Technical Skills

• Demonstrated hands-on experience building, training, and deploying functional models across both classical ML and LLM-based approaches — this is weighted more heavily than API integration or orchestration experience alone.
• Strong programming experience in Python (required); experience with JavaScript, Go, or similar languages a plus.
• Experience in process automation, process mining, data pipelines, and system integrations using APIs and…