Equifax
Job Overview
Equifax is recruiting a
Principal AI Architect
to lead the design, implementation, and adoption of AI‑powered solutions across our products and platforms. The role requires a senior technical expert with deep AI/ML knowledge, cloud‑native architecture experience, and a strong security mindset.
What You’ll Do
Lead the architecture and delivery of AI solutions for specific products and platforms, ensuring scalability, reliability, and compliance with enterprise standards.
Act as a subject‑matter expert in AI/ML, providing mentorship, architectural guidance, and best‑practice support to engineering teams.
Collaborate with product managers, data scientists, and engineers to translate business requirements into AI‑enabled solutions.
Apply established security frameworks and best practices to ensure safe and responsible use of AI within product deployments.
Contribute to platform engineering by building reusable components, integrating infrastructure‑as‑code, and supporting delivery pipelines for AI systems.
Evaluate emerging AI/ML tools and techniques, run proof‑of‑concepts, and drive adoption to solve real business problems.
Required Experience
Bachelor’s degree in Computer Science, Engineering, or related discipline (or equivalent experience).
10+ years of architecture experience, with 5+ years building AI/ML solutions, including production deployment.
3+ years of cloud computing experience (GCP and/or AWS).
Hands‑on experience with MLOps, AI frameworks, and Agile delivery practices.
Knowledge of agentic frameworks and agent protocols is a plus.
Cloud certification is preferred.
Preferred/Plus Skills
Cloud‑native proficiency with GCP and/or AWS, distributed systems, and microservices architecture.
Strong programming skills (Python, Java, etc.) and hands‑on experience implementing AI/ML models into production.
Understanding of AI security considerations and ability to design with secure patterns.
Excellent collaboration & communication skills, able to partner effectively with cross‑functional teams and explain complex technical solutions to both technical and non‑technical stakeholders.
Problem‑solving mindset, analytical thinker, and ability to navigate ambiguity and provide practical AI solutions.
Experience at Google, AWS, Salesforce, or similar organization is a plus.
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Principal AI Architect
to lead the design, implementation, and adoption of AI‑powered solutions across our products and platforms. The role requires a senior technical expert with deep AI/ML knowledge, cloud‑native architecture experience, and a strong security mindset.
What You’ll Do
Lead the architecture and delivery of AI solutions for specific products and platforms, ensuring scalability, reliability, and compliance with enterprise standards.
Act as a subject‑matter expert in AI/ML, providing mentorship, architectural guidance, and best‑practice support to engineering teams.
Collaborate with product managers, data scientists, and engineers to translate business requirements into AI‑enabled solutions.
Apply established security frameworks and best practices to ensure safe and responsible use of AI within product deployments.
Contribute to platform engineering by building reusable components, integrating infrastructure‑as‑code, and supporting delivery pipelines for AI systems.
Evaluate emerging AI/ML tools and techniques, run proof‑of‑concepts, and drive adoption to solve real business problems.
Required Experience
Bachelor’s degree in Computer Science, Engineering, or related discipline (or equivalent experience).
10+ years of architecture experience, with 5+ years building AI/ML solutions, including production deployment.
3+ years of cloud computing experience (GCP and/or AWS).
Hands‑on experience with MLOps, AI frameworks, and Agile delivery practices.
Knowledge of agentic frameworks and agent protocols is a plus.
Cloud certification is preferred.
Preferred/Plus Skills
Cloud‑native proficiency with GCP and/or AWS, distributed systems, and microservices architecture.
Strong programming skills (Python, Java, etc.) and hands‑on experience implementing AI/ML models into production.
Understanding of AI security considerations and ability to design with secure patterns.
Excellent collaboration & communication skills, able to partner effectively with cross‑functional teams and explain complex technical solutions to both technical and non‑technical stakeholders.
Problem‑solving mindset, analytical thinker, and ability to navigate ambiguity and provide practical AI solutions.
Experience at Google, AWS, Salesforce, or similar organization is a plus.
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