AI Solutions Engineering Principal

Equifax

Alpharetta (GA)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Healthcare packages
401k matching
Paid time off

Job summary

Equifax is seeking a seasoned AI Solutions Engineering Leader to design, build, and scale AI-powered systems for enterprise contact center intelligence. You will lead end-to-end AI architectures, mentor multiple product teams, and drive integration with CRM, ticketing, and workforce management systems.

The role emphasizes strong communication and production-grade delivery. The position requires deep expertise in AI frameworks, cloud services, and microservice patterns, with a track record of

Qualifications

  • Bachelor’s degree or 12+ years of software engineering experience.
  • Designed enterprise AI solutions and systems.
  • Designed and developed cloud-native solutions using modern data tooling.
  • Proven ability to present technical topics to diverse audiences.
  • Able to lead a team of engineers up to 8 direct reports.
  • Built microservices with Java/Spring Boot and cloud-native patterns.
  • Drove CI/CD deployments with Jenkins and IaC tooling.
  • Collaborated with SREs to define SLA/SLO/SLIs and best practices.
  • Partnered with product teams with a product mindset.

Responsibilities

  • Lead end-to-end design of AI systems including LLM-powered apps and NLP pipelines.
  • Manage multi-product teams with cross-functional skills in software, QA, reliability, and PM.
  • Mentor and develop first-level leaders and contributors.
  • Evaluate AI frameworks, cloud services, and third-party platforms.
  • Demonstrate clear communication to simplify complex problems.
  • Integrate contact center AI with CRM, ticketing, and WFM via APIs.
  • Build scalable data pipelines and feature stores for training and evaluation.
  • Drive cloud-native, distributed microservice architectures and stakeholder alignment.
  • Influence architecture decisions and guide product-driven delivery.
  • Lead problem-solving for production and customer issues under pressure.
  • Develop NLUs, intent classification, and dialogue management for voice/digital channels.

Skills

AI leadership
Cloud architecture
Java/Spring
CI/CD pipelines
SRE collaboration
Product mindset
Sprint planning
Troubleshooting
Full stack

Education

Bachelor’s degree or 12+ years

Tools

GCP
Kubernetes
Terraform
Jenkins
Airflow
Dataflow/Beam

Job description

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.

We are seeking a seasoned AI Solutions Engineering Leader with deep expertise in AI solution engineering, design, and hands-on leadership to join our growing team. Your team will be focused initially on high-visibility contact center intelligence initiatives. In this role, you will design, build, and scale AI-powered systems that transform customer experiences — from conversational AI and virtual agents to real-time analytics and agent-assist tools. You will serve as a technical leader, driving architecture decisions and partnering with cross-functional stakeholders to deliver production-grade AI solutions.

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 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:
  • Lead the end-to-end design of AI systems including LLM-powered applications, NLP pipelines, and ML inference infrastructure at enterprise scale.

  • Manage teams that span multiple products with cross functional team skills that include software engineering, quality engineering, reliability engineering and project management.

  • Mentor, coach and develop first level people leaders and strong individual contributors

  • Evaluate and recommend AI frameworks, cloud services, and third-party platforms aligned with business goals.

  • Demonstrate excellent communication skills with the ability to simplify complex problems

  • Integrate contact center AI with CRM, ticketing, and workforce management systems via APIs and event-driven architectures.

  • Build scalable data pipelines and feature stores to support model training, evaluation, and continuous improvement.

  • Play a pivotal role in the execution of cloud native, distributed micro service based architectures. Build strong relationships with both internal and external stakeholders including product, business and sales partners.

  • Influence architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices. Guide the decision making with the Product teams, embrace the Product mindset, and be responsible for timely delivery of Product-driven solutions & service

  • Display deep troubleshooting skills with the ability to lead and solve complex production and customer issues under pressure

  • Build and optimize NLU models, intent classification systems, and dialogue management flows for voice and digital channels.

  • Data/Metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions across multiple products

  • Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs. Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams

  • Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activity

  • Responsible for successful implementation architecture decision making associated with Product features/stories, refactoring work, EOSL decisions, and continuous improvements whilst ensuring EHB guidelines

  • Actively lead 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 experience you need:
  • Bachelor’s degree or 12+ years of software engineering experience.

  • Designed enterprise AI solutions and systems

  • Designed and developed cloud-native solutions. Designed and developed big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others

  • Created and delivered 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

  • Ability to lead a team of Engineers of up to 8 Direct Reports

  • Designed and developed micro services using Java, Spring Boot, GCP SDKs GKE/Kubernetes. Performed R&D, prototyping/PoC of cloud-native solutions

  • Deployed and released software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs

  • Worked with SREs and dev teams to define and maintain SLA, SLO, SLIs meeting EFX quality engineering standards. Collaborated with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices

  • Collaborated with Product with a product mindset

  • Led Sprint planning, Sprint Retrospectives, and other team activity

  • Implemented architecture decision making associated with Product features/stories, refactoring work, EOSL decisions, and continuous improvements whilst ensuring EHB guidelines

  • Deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure

  • Strong experience of full stack software development and public cloud

What experience could set you apart:
  • Cloud Certification strongly preferred

  • Led design and development of solutions using event-driven and RESTFul API architecture

#LI-AM2

#LI-Hybrid

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Primary Location:

USA-Atlanta JV White

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

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