Explicitly requires vibe coding methodologies and uses AI assistants (Gemini, GitHub Copilot, Claude) to orchestrate agentic workflows and accelerate developer productivity.
About the Role
Lead AI Engineer to drive an AI-first transformation at Equifax by architecting and deploying AI agents and assistant-driven workflows to accelerate development across scalable APIs, microservices and PaaS/SaaS on Google Cloud. The role leads design, security, and standardized production pipelines (the "Golden Path"), mentors teams, and operates in a hybrid model (onsite Tue–Thu).
Job Description
Role
Equifax is hiring a Lead AI Engineer to lead the shift from manual coding to an AI-first software engineering paradigm. The role will design, prototype, and operate agentic AI solutions and AI-assisted developer workflows to increase engineering velocity, improve code quality, and deliver secure, production-grade systems on Google Cloud Platform.
Key Responsibilities
- Champion AI-assisted development using tools such as Gemini, GitHub Copilot, and Claude to speed development, improve documentation, testing, and observability.
- Lead AI research & innovation: identify, prototype, and integrate foundational models, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks to address enterprise challenges.
- Architect and operate production-scale AI systems on Google Cloud Platform, focusing on secure, compliant, and standardized CI/CD pipelines (the organization’s “Golden Path”).
- Collaborate with product leaders, architects, SREs, and engineers to translate business needs into robust technical solutions and transition from a traditional SDLC to an AI Development Life Cycle (AI DLC).
- Maintain a metrics-driven, data-informed approach to optimize solution efficiency and quantify business impact.
- Engage in security and compliance approval processes and ensure secure-by-design implementations.
- Mentor and guide engineering teams on AI-driven best practices and platform usage.
Requirements
- Minimum 7 years of experience in software engineering with demonstrated leadership through ambiguity and cross-functional team influence.
- At least 2 years applying Generative AI to enterprise problems and minimum 1 year working with agentic AI frameworks.
- Expert-level proficiency with Google Cloud Platform, Kubernetes, Infrastructure-as-Code (IaC), CI/CD, and databases.
- Experience with observability and AI-powered log analysis/troubleshooting approaches.
- Bachelor’s degree in Computer Science or equivalent.
- Proficiency in Python, JavaScript/TypeScript, and/or Java; working knowledge of modern front-end frameworks.
Preferred / What Could Set You Apart
- Proven ability to engineer ecosystems that amplify other engineers’ productivity.
- Collaborative mindset with emphasis on mentorship and shared AI excellence.
- Commitment to shift-left practices to reduce rework and optimize resources.
Location & Sponsorship
- Hybrid role: required in-office presence 3 days per week (Tuesday–Thursday).
- This position does not offer immigration sponsorship (including F-1 STEM OPT extension support).