Senior Applied AI Engineer

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.
• 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.
• Excellent communication skills with the ability to simplify complex problems.
• Mentor, coach and develop first level people leaders and strong individual contributors.
• 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.
• 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.

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 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.