Principal AI Architect

Equifax•Atlanta, GA

6d•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. Summary: As an AI Architect at EFX, you will be responsible for designing and delivering AI-powered solutions that advance our products and platforms. You will act as a senior technical expert, providing architectural leadership within projects and platforms, ensuring secure, scalable and innovative AI implementations. This role requires strong technical depth in AI/ML, cloud native design and security frameworks, combined with the ability to collaborate across teams to deliver solutions that meet business needs. You will give engineering teams with best practices, mentor peers and help drive adoption of AI first development across domains.

Requirements

BS degree in Computer Science, Engineering or related technical discipline or related work experience
10+ years of architecture experience
5+ years of experience building AI/ML solutions, including production deployment
3+ year of cloud computing experience
Experience with MLOps, AI frameworks and Agile delivery practices
Hands on experience with agentic frameworks and agent protocols a plus
Cloud Certification Preferred

Nice To Haves

Strong skills in the following areas:
Cloud-Native - Proficiency with GCP and/or AWS cloud environments, distributed systems, and micro services architectures
AI/ML Expertise - Strong programming skills (Python, Java, etc) and hands on experience implementing AI/ML models into production
Security Mindset - Working knowledge of AI security considerations and ability to design with secure patterns
Collaboration & Communication - Ability to partner effectively with cross functional teams and explain complex technical solutions to both technical and non technical stakeholders
Problem solving - Analytical thinker with the ability to navigate ambiguity and provide practical AI solutions
Work experience at Google, AWS, Salesforce or similar organization.

Responsibilities

Lead the design and implementation 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 and architectural support to engineering teams
Work closely 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

Benefits

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

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