What are the responsibilities and job description for the Hyperautomation Solution Designer/Architect position at Equifax?
As a Hyperautomation Solution Designer/Architect, you will be the bridge between complex business needs and cutting-edge automation capabilities. Your key responsibilities will include:
What You'll Do
What You'll Do
- Process Transformation: Proactively identifies and analyzes complex processes across the organization to determine their suitability for AI and automation. You'll uncover hidden opportunities for improvement.
- Blueprint Creation: Expertly maps current and future state workflows, translating intricate operations into clear, actionable designs.
- Intelligent Agent Design: Precisely defines AI agent requirements and behavior, detailing how intelligent systems will interact with processes and data to achieve desired outcomes.
- Feasibility & Value Assessment: Conducts thorough feasibility and ROI assessments for proposed hyperautomation solutions, ensuring investments deliver significant business value.
- Integrated Solution Design: Architects comprehensive, integrated solutions that seamlessly blend various automation technologies (e.g., RPA, AI/ML, intelligent document processing, process mining) to create end-to-end intelligent workflows.
- Security & AI Governance - You will be responsible for guiding our AI, ML, and Hyperautomation portfolio through all security and compliance approvals. Success in this role means mastering the review processes to become an "enabler.” You will leverage your expertise to unblock engineering teams, ensure a "secure-by-design" approach, and drastically shorten the time it takes to get new, secure capabilities into the hands of our users.
- Bachelor's Degree in Computer Science, Software Engineering or related field
- 5 years of solutions architecture experience
- Process Expertise: Advanced Business Process Analysis (BPA) and Business Process Model and Notation (BPMN) skills, enabling you to articulate and optimize complex workflows.
- 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 design practical and effective intelligent solutions.
- Solution Design Mastery: Demonstrated expertise in holistic solution design, capable of envisioning and detailing integrated automation architectures.
- Analytical Acumen: Strong skills in cost-benefit analysis, enabling you to quantitatively assess the value and impact of proposed solutions.
- Exceptional Communication: Strong communication skills that bridge the gap between technical teams and business stakeholders, effectively conveying complex ideas and fostering collaboration.