National Guard Employment Network

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Job Description ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. 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. What you'll do Solutions Architecture - Lead the design and implementation of AI solutions for specific products and platforms, ensuring scalability, reliability and compliance with enterprise standards Technical Guidance - Act as a subject matter expert in AI/ML, providing mentorship and architectural support to engineering teams Collaboration - Work closely with product managers, data scientists, and engineers to translate business requirements into AI enabled solutions Security & Compliance - Apply established security frameworks and best practices to ensure safe and responsible use of AI within product deployments Platform Enablement - Contribute to platform engineering by building reusable components, integrating infrastructure-as-code, and supporting delivery pipelines for AI systems Innovation - Evaluate emerging AI/ML tools and techniques, run proof-of-concepts and drive adoption to solve real business problems Additional Qualifications/Responsibilities What experience you need: 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 What could set you apart: 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.