AI Engineer

Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like Git Hub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform.

This role requires a deep understanding of both front-end and back-end technologies, combined with mastery of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You're not just a coder; you're an architect, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and mentoring a high-performing team, we want to hear from you.

This role requires being in the office 3 days/week on Tues - Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

What you'll do

As our AI Engineer, you will be the driving force behind our technical vision and execution. Your core responsibilities include:

* Implement Sophisticated AI Agents:
Design, build, and deploy complex AI agents using Lang Chain and Lang Graph. You will own the core logic that automates intricate decision-making within the claims lifecycle.

* Master Prompt & @context Engineering:
Design, test, and refine complex prompts and contextual data frameworks to ensure our AI agents perform with maximum accuracy, efficiency, and reliability.

* Lead AI Research &

Innovation: Stay at the bleeding edge of AI. You'll be responsible for identifying, prototyping, and integrating the latest foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.

* Build for Production Scale on GCP:
Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud Platform. Your work will directly impact millions of users.

* Champion MLOps for Agentic Systems:
Establish and lead best practices for the reliability, versioning, monitoring, and observability of our AI agents, using tools like Langfuse to ensure production-grade performance.

* Collaborate to Deliver Impact:
Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality, ensuring our AI solutions are both innovative and effective.

* Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, Github Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring & observability practices

* Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.

* Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (Dev Sec Ops , Fin Ops) best practices.

* Collaborate with product managers, architects, SREs and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions.

* Lead troubleshooting efforts to resolve production and customer issues, demonstrating deep technical expertise and problem-solving skills.

* Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery

* Lead with a data/metrics driven mindset with a extreme focus towards optimizing and creating efficient solutions

* Drive up-to-date technical documentation including support, end user documentation and run books

* Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

What You'll Bring (Experience & Technical Stack)

* Bachelor's degree or equivalent experience

* 7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems.

* Experience in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems.

* Direct experience architecting and building solutions with Lang Chain, Lang Graph, or similar agentic AI frameworks.

* In-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).

* 3+ years of proven experience leveraging Kubernetes workloads.

* Proficiency in Python, JavaScript/Type Script and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.

* Hands-on experience with LLM…