Senior Hyperautomation Engineer

Senior Hyperautomation Engineer at Equifax

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.

This role requires being in the office 3 days/week on Tues – Thurs.

This position does not offer immigration sponsorship (current or future) including F‑1 STEM OPT extension support.

• Lead the end‑to‑end development lifecycle for complex business processes, focusing on RPA, Agentic AI, and Machine Learning. Responsible for the design and development of solutions using core technologies such as UiPath, Google DocAI, Vertex AI Agent Builder, and Conversational/Generative AI.
• Implement complex agentic workflows integrated with key platforms and services, including GCP services (Cloud Functions, Pub/Sub, Cloud Storage, and Big Query); observability tools (Langfuse); enterprise applications (Salesforce and Service Now); and all external/internal systems via APIs and direct database connections.
• Work closely with Operations and Business Units to identify and analyze complex processes, determining their optimal suitability for Agentic AI and automation; mentor and guide junior engineers; regularly conduct code reviews.
• Ensure adherence to best practices for development, coding standards, quality checks, validations, technical documentation, performance optimization, and continuous improvement.

• 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 using technologies such as SQL, REST APIs, and Google Kubernetes Engine.

• UiPath Advanced Developer Certification is recommended, with strong understanding of REFramework, Orchestrator, and Studio.
• Advanced Business Process Analysis (BPA) and Business Process Model and Notation (BPMN) skills.
• Excellent problem‑solving abilities and experience with change management processes; adept in Agile/Scrum methodologies.
• Experience in AI requirements engineering, translating business needs into detailed specifications for AI and ML components.
• Deep understanding of AI and LLM capabilities and limitations.
• Exceptional communication skills to bridge the gap between technical teams and business stakeholders.

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