Equifax · 2 days ago
Senior AI Engineer
United States
Full-time
Remote
Senior Level
5+ years expEquifax is seeking a visionary AI engineer to lead the development and deployment of cutting-edge Artificial Intelligence solutions. In this role, you will be developing and deploying cloud-native AI solutions for a large enterprise, focusing on innovation and scalability while collaborating with cross-functional teams.
AnalyticsConsultingDatabase
Responsibilities
Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph. 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
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
Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) best practices
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
Qualification
Required
Bachelor's degree or equivalent experience
5+ years of software engineering experience
5+ years experience writing, debugging, and troubleshooting code
2+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems
1+ years of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks
2+ years of 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/TypeScript 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 observability tools like Langfuse for monitoring and debugging agentic workflows
Cloud-Native Proficiency: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure)
Mastery of Docker for containerizing applications and Kubernetes for orchestration
Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically
Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases
Preferred
Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama
You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features
Experience creating and deploying AI agents to production environments
You have a history of tackling ambiguous, complex technical challenges and architecting elegant, effective solutions
You are passionate about the potential of AI, but you are grounded in the practical realities of building and shipping reliable, production-ready software
You thrive in a team-oriented environment, capable of mentoring other engineers and clearly communicating complex technical ideas to any audience
You are motivated by the opportunity to apply cutting-edge technology to solve meaningful, real-world problems at a massive scale
Company
Equifax
Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.
10001+ employees
H1B Sponsorship
Equifax has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (236)
2024 (296)
2023 (209)
2022 (301)
2021 (213)
2020 (179)
Funding
Current Stage
Public CompanyTotal Funding
$1M2009-09-04Post Ipo Equity· $1M
1971-05-11IPO
Leadership Team
John Gamble
Corporate Vice President, Chief Financial Officer
Trevor Burns
SVP Corporate Investor Relations
Recent News
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2025-12-18
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