Senior Applied AI Engineer

Equifax • Alpharetta, GA

2d • Hybrid

About The Position

Equifax is seeking a seasoned Senior AI Engineer with deep expertise in AI solution engineering, design, and contact center intelligence to join their growing team. In this role, the engineer will design, build, and scale AI-powered systems that transform customer experiences, including conversational AI, virtual agents, real-time analytics, and agent-assist tools. The position serves as a technical leader, driving architecture decisions and partnering with cross-functional stakeholders to deliver production-grade AI solutions. Equifax offers a hybrid work schedule with two remote work days (Monday and Friday) and three onsite days (Tuesday through Thursday) each week. This role reports to the office in Alpharetta, GA.

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 of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
• 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.
• 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.
• 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.
• Evaluate and recommend AI frameworks, cloud services, and third-party platforms aligned with business goals.
• 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.
• 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.
• 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.
• 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.
• 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: Senior