Lead Automation Engineer – Action; NBA Platform

Position: Lead Automation Engineer –Next Best Action (NBA) Platform

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We are seeking a Lead Automation Engineer to establish and guide a sophisticated quality and test automation function for a large-scale, real-time decisioning platform. This platform delivers personalized recommendations and actions across digital, call-center, and marketing channels through a combination of stateful logic, business rules, and machine learning.

This position extends beyond conventional test automation. You will spearhead the adoption of AI-driven and agentic automation methods to validate intricate decision logic, broaden coverage for edge cases, and enhance system confidence where accuracy, explainability, and reliability are essential.

Key Responsibilities Automation Strategy & Architecture

• Develop and own the comprehensive automation strategy for a distributed, real-time decisioning platform, including:
• API and service-level validation
• Stateful workflow and lifecycle testing
• Rules and policy-based logic verification
• Machine learning-assisted ranking and scoring
• Design scalable automation frameworks that support platform growth and continuous integration.

AI-Enabled & Agentic Automation

• Lead the implementation of AI-assisted and agentic automation techniques to:
• Generate and refine test cases from API contracts, schemas, and production data
• Automatically explore edge cases through complex state transitions and decision paths
• Minimize test maintenance using self-healing and adaptive automation
• Enhance regression efficiency with intelligent test selection
• Utilize advanced tools such as:
• Large Language Model (LLM)-based test generation and validation
• Agent-driven test execution and environment checks
• AI-supported failure analysis and root cause identification
• Emphasize practical, production-ready AI adoption.

Hands-On Automation Engineering

• Build and maintain resilient automation suites to validate:
• Decision accuracy and ranking stability
• State consistency across distributed systems
• Deterministic behavior under diverse conditions
• Fallback and error-handling scenarios
• Develop reusable automation components for adoption by multiple engineering teams.
• Integrate automation processes into CI/CD pipelines for rapid, reliable feedback.

Quality, Reliability & Trust

• Ensure automated validation supports:
• Explainability (clarity on decision outcomes)
• Reproducibility (consistent results given identical inputs)
• Auditability (transparent traceability of logic and versions)
• Collaborate with engineering teams to design systems that are testable, observable, and robust.
• Leverage production telemetry and logs to inform and refine automation strategies.

Leadership & Collaboration

• Serve as the technical leader for automation and quality engineering, establishing standards and best practices.
• Mentor and support automation engineers across teams.
• Partner closely with software, data, and machine learning engineering teams to embed quality early in the development lifecycle.

Use your skills to make an impact

Required Qualifications

• 8+ years of experience in test automation or quality engineering
• 3+ years in a lead or senior automation engineering role
• Extensive experience testing:
• Distributed systems and real-time APIs
• Stateful and event-driven architectures
• Practical experience with AI-assisted development or automation tools (e.g., LLM-based test/code generation, intelligent debugging, agent-driven workflows)
• Proficiency in one or more modern programming languages (e.g., Java, Python, Type Script)

Preferred Qualifications

• Experience testing personalization, recommendation, or decisioning platforms
• Familiarity with rules engines, policy systems, or eligibility logic
• Background in validating machine learning-enabled systems
• Experience in regulated or high-reliability environments

Success Criteria

• Automation consistently detects defects in decisioning early and accurately
• Expanded test coverage for complex scenarios with reduced maintenance effort
• Accelerated and more intelligent regression cycles
• Strong engineering confidence in automation results for release decisions
• Platform behavior remains consistent, explainable, and reliable as it scales

Additional Information SSN Alert Statement

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