Senior Applied AI Engineer

Equifax • Alpharetta, GA

1d • Hybrid

About The Position

Equifax is seeking a seasoned Senior AI Engineer with deep expertise in AI solution engineering, design, and contact center intelligence. 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. Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week. This role reports to our office in Alpharetta, GA. 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 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