Senior AI Process Engineer

Description

• Collaborate closely with the Data Solutions team to align redesigned processes with the company’s data foundation, ensuring they integrate seamlessly with the semantic data model and broader data strategy
• Support cataloging processes as assets, building a comprehensive enterprise process landscape that informs AI and automation roadmaps.
• Provide regular reporting on progress, risks, and outcomes in agile way to leadership and stakeholders.
• Foster process ownership and governance across departments, ensuring adherence to standards, security, and PII controls.
• Champion a culture of AI adoption, demonstrating how redesigned processes and AI agents can augment human decision-making.
• Use process mining and analytics tools (e.g., Camunda Optimize) to measure adoption, performance, and business value realization.
• Redesign business processes by applying the full capabilities of BPMN 2.0 at both strategic and operational levels, ensuring effective and efficient execution of process instances. Your designs will also incorporate deterministic and probabilistic decision automation and integrate AI agents to enhance business outcomes.
• Collaborate with vendors and partners to manage multiple projects in parallel, ensuring deliverables meet enterprise standards and demanding timelines.
• Create and manage a backlog of process improvement and automation opportunities, aligned to business priorities and enterprise AI strategy.
• Partner with business and technical teams to ensure redesigned processes integrate seamlessly with enterprise systems and data flows, and always meet compliance requirements.
• Lead process discovery and redesign workshops to analyze current state, uncover root causes, and define future-state processes optimized for AI enablement.

Requirements

• Bachelor’s degree in Business, Information Systems, or related field.
• 5+ years of experience in process engineering, BPM, or process optimization.
• Strong curiosity and passion for AI, with an instinct for applying AI in daily work and the vision to integrate AI thoughtfully into business processes where value is added.
• Familiarity with API-driven and event-driven workflow design.
• Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization.
• Working knowledge of data modeling principles (dimensions/facts, star schemas, slowly changing dimensions) and ability to collaborate effectively with data engineers/analysts to specify datasets, define metrics, validate results, and ensure alignment with semantic data models.
• Experience managing multiple concurrent projects with internal teams and external vendors.
• Strong skills in stakeholder facilitation, backlog management, and progress reporting.
• Deep expertise in BPMN 2.0 and DMN modeling and process redesign.
• Excellent communication skills, with the ability to bridge business and technology, collaborate effectively with business stakeholders, and navigate negotiations when priorities or approaches differ.
• Experience working in agile, cross-functional teams.
• Familiarity with process orchestration platforms (Camunda 8 preferred).
• Exposure to process mining tools and methodologies.
• Proven track record of successful automation and agentic AI deliverables.
• Exposure to a programming language such as Java, Python, or JavaScript is a plus.
• Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance