Staff Data Scientist: Intelligent Process Automation Solutions Designer
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Role details
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Job description
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.
Responsibilities
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.
Requirements
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 cloud-native tools.
- Expertise building and fine-tuning Large Language Models (LLMs) and Agentic AI systems that interact with APIs, data, and end-users - beyond simply calling third-party LLM APIs.
- Proficiency in AWS services (Lambda, S3, API Gateway, DynamoDB, Step Functions, CloudFormation, etc.).
- Experience with Jenkins, microservices, and MSAAS architectures.
- Understanding of event-driven automation, and data governance/security principles.
Business & Leadership Skills
- Proven ability to design solutions that blend technical feasibility with business impact.
- Strong business acumen and understanding of operational processes, metrics, and automation ROI.
- Skilled communicator - able to articulate technical strategies to non-technical stakeholders.
- Demonstrated ownership, accountability, and influence in cross-functional environments.
- Experience in driving process transformation initiatives across large-scale organizations.
Preferred Experience
- Exposure to contact center, CRM, or customer service technologies.
- Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree or MBA preferred.
Benefits & conditions
| Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. |
The expected base pay range for this position is:
San Diego $185,500 - $251,000
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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