AI Solutions Engineering Principal

Equifax • Alpharetta, GA

1d • Hybrid

About The Position

Equifax is seeking a seasoned AI Solutions Engineering Leader with deep expertise in AI solution engineering, design, and hands-on leadership to join their growing team. The 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. The 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.

Requirements

• 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.

Nice To Haves

• Cloud Certification strongly preferred.
• Led design and development of solutions using event-driven and RESTFul API architecture.

Responsibilities

• 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.
• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal