Senior Hyperautomation Engineer

Equifax

35d • Hybrid

About The Position

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. As a Senior Hyperautomation Engineer, you will bridge complex business needs with cutting-edge automation capabilities. You will architect, develop, and deploy scalable Agentic AI/Automation solutions integrated with internal and external services. This role also involves mentoring junior engineers and collaborating with cross-functional teams.

Requirements

• 10+ years of overall IT experience, with 5+ years in development using UiPath, IDP and RAG.
• Experience in Java and Python scripting, as well as experience with Salesforce and GCP (Google Cloud Platform).
• Proficient in system integrations utilizing technologies such as SQL, REST APIs, and Google Kubernetes Engine (GKE).

Nice To Haves

• UiPath Advanced Developer Certification is recommended with strong understanding of REFramework, Orchestrator, and Studio.
• Process Expertise: Advanced Business Process Analysis (BPA) and Business Process Model and Notation (BPMN) skills, enabling you to articulate and optimize complex workflows.
• Methodology & Soft Skills: Excellent problem-solving abilities and strong experience with change management processes. Bring speed and accuracy by using Agile/Scrum methodologies..
• AI Requirements Engineering: Proven experience in AI requirements engineering, translating business needs into detailed specifications for AI and Machine Learning components.
• AI/LLM Insight: A deep understanding of AI and LLM (Large Language Model) capabilities and limitations, allowing you to participate in design practical and effective intelligent solutions.
• Exceptional Communication: Strong communication skills that bridge the gap between technical teams and business stakeholders, effectively conveying complex ideas and fostering collaboration.

Responsibilities

• Lead the end-to-end development lifecycle for complex business processes, focusing on RPA, Agentic AI, and Machine Learning (ML).
• Responsible for the design and development of solutions using core technologies such as UiPath, Google DocAI, Vertex AI Agent Builder, and Conversational/Generative AI.
• System Integration Vision - Implement complex agentic workflows integrated with key platforms and services, including: GCP services (Cloud Functions, Pub/Sub, Cloud Storage, and BigQuery); Observability tools (Langfuse); Enterprise applications (Salesforce and ServiceNow); and all external/internal systems via APIs and direct database connections.
• Collaboration and Leadership- Work closely with Operations and Business Units to identify and analyze complex processes, determining their optimal suitability for Agentic AI and automation. Furthermore, the role requires you to mentor and guide junior engineers and regularly conduct code reviews.
• Ensure adherence - Best practices toward development, coding standards, quality check and validations, technical documentation, performance optimization and continuous improvement.

Benefits

• comprehensive compensation and healthcare packages
• 401k matching
• paid time off
• organizational growth potential through our online learning platform with guided career tracks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees