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Lead the end-to-end design and scaling of enterprise AI systems, focusing on contact center intelligence and conversational AI. Manage cross-functional engineering teams and partner with stakeholders to deliver production-grade AI solutions.
Requires a Bachelor's degree or 12+ years of software engineering experience with a proven track record in designing enterprise AI and cloud-native solutions. Must have expertise in GCP, Java, and leading teams of engineers.
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.
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
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.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.
Offices: P.O. Box 740241, Atlanta, GA 30374, US · 11710 Plaza America Dr, Reston, VA 20190, US · 140 William St, Melbourne, VIC 3000, AU · 100 Walker St, Sydney, NSW 2060, AU · Saint Louis, MO 63114, US
