Sr Director - AI Platform Engineering - D&A

Equifax
Alpharetta, GA, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$84,200.0 - $160,000.0
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence Data Analysis Systems Engineering Cloud Computing Data Cleansing Data Structures Fraud Prevention and Detection Recommender Systems Large Language Models Generative AI AI Platforms Data Analytics
+2 more
Virtual Agents Synthesizing Data

Job description

We are seeking a visionary AI Engineering Lead to serve as the primary architect and technical owner of our next-generation Agentic AI Platform. In this role, you will lead the design and implementation of an enterprise-grade ā€œAgent Harness & Orchestratorā€-a scalable fabric designed to replace rigid, linear pipelines with autonomous, specialized AI agents capable of executing complex, multi-step engineering and analytical workflows.

This is an elite technical leadership position. You will move beyond simple LLM wrapping to build a production-ready multi-agent ecosystem. Your team will design Agentic platform to support the construction of agents with dedicated ā€œSkillsā€ (tool-calling, deterministic execution, data synthesis) and ā€œKnowledgeā€ (RAG, domain-specific memory, state management). You will bridge the gap between cutting-edge AI research and robust systems engineering, creating a platform that allows autonomous agents to collaborate, self-correct, and deploy workflows reliably at scale within a highly secure and regulated enterprise environment.

We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday) , paired with Friday Flexibility to wrap up your week remotely.

This role reports to our office Alpharetta, GA office.

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

This is a direct-hire role and is not open to C2C or vendors.

What you’ll do

  • Serves as internal and external SME on data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
  • Lead the analytical strategy that creates significant industry impact, educating and promoting business solutions for increased competitive advantage.
  • Evaluate new data sources, provide recommendations on the value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed.
  • Leads multiple programs of solutions that generate significant Equifax revenue, collaborating with other stakeholders to support the development of predictive models, risk assessments, fraud detection, recommendation engines, etc. influencing decisions on the solution and enabling teams to execute.
  • Contributes to evaluation of external data sources, provide due diligence recommendations
  • Evaluates the technical work of highly experienced data scientists guiding them on deliverable quality and accuracy
  • Communicates results to c-level management and external stakeholders, able to communicate the industry impact of the work
  • Serve as SME consultant for COE / Business Unit / Regions, share best practices globally

Requirements

  • BS degree in a STEM major or equivalent discipline
  • 10+ years of experience in a related role required, with extensive industry experience with predictive models
  • Experience designing or deploying Generative AI or Agentic AI solutions in an enterprise or production environment
  • Extensive engineering or technology background with specific knowledge of Data & Analytics
  • Excellent executive presence and communication skills, proven ability to work across business units and with internal stakeholders
  • Additional role-based certifications may be required depending upon region/BU requirements

What could set you apart:

  • Cloud certification strongly preferred
  • Financial services experience

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