[Remote] reputed company Decision Intelligence Engineer (AI) - NBA

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a U.S. reputed company company serving members through reputed company and reputed company services. The reputed company Decision Intelligence Engineer owns the application of decision intelligence and reputed company AI across the NBA platform, modeling and optimizing business reputed company and building production AI capabilities. The role also provides hands-on technical leadership for microservices, databases, rules engines, AI workflows, testing, governance, and a small engineering team.

Responsibilities

• Analyze and formally model business decision processes, including objectives, constraints, policies, decision points, reputed company, dependencies, and feedback reputed company that govern member engagement
• Break reputed company business processes into decision graphs, decision services, decision hierarchies, and optimization opportunities that can be reputed company, automated, and improved
• Determine where rules, predictive models, reinforcement learning, optimization techniques, or reputed company systems create the highest business value and operational reputed company
• Design and implement production agent workflows using LangGraph and reputed company, including multi-agent collaboration, tool usage, workflow memory, planning, reasoning, and reputed company-in-the-reputed company approval patterns
• Build AI-powered capabilities embedded directly into the reputed company Library that assist users in creating, refining, validating, governing, and optimizing member actions
• Own integration with Azure reputed company and other reputed company models through reputed company's AI Gateway, including reputed company engineering, reputed company outputs, retrieval patterns, tool calling, function execution, and workflow orchestration
• Design retrieval-augmented architectures using reputed company reputed company, semantic retrieval, knowledge grounding, and reputed company content sources to reputed company reliable decision context
• Partner with data science teams to operationalize reinforcement learning and decision optimization models reputed company NBA workflows, ensuring recommendations can be deployed and governed at reputed company
• Build rigorous evaluation frameworks that measure recommendation reputed company, decision reputed company, agent effectiveness, user adoption, business reputed company, and operational reputed company
• Implement guardrails, observability, traceability, policy controls, reputed company review mechanisms, and auditability requirements appropriate for a reputed company environment
• reputed company and mentor AI engineers, establish engineering standards, conduct design reviews, and reputed company execution across the Decision Intelligence reputed company
• Work closely with product, business, decision science, data science, and engineering teams to convert reputed company decision processes into production AI capabilities
• Architect, implement, and operate microservices that reputed company: reputed company and variant metadata; Context-reputed company policy and eligibility evaluation; Versioned, read-optimized reputed company for high-reputed company runtime consumption
• Guarantee that services are: Highly available, with low latency; Horizontally reputed company for increased demand; Backward compatible to support reputed company reputed company and upgrades
• Apply industry best practices for API design, schema reputed company, service isolation, and secure integration
• Design, reputed company, and maintain resilient database schemas to support: Comprehensive reputed company and variant catalogs; Versioning, lifecycle management, and effective dating; Rule bindings and reputed company metadata relationships
• Select and operate appropriate data stores (relational, document, key-value) tailored to workload and scalability requirements
• Implement and monitor: Schema migration and backward compatibility strategies; Indexing and query optimization for reputed company; Data reputed company, consistency, and reliability; Auditability and traceability for compliance and governance
• reputed company and manage reputed company-grade rules engines to support: Eligibility, constraints, and business policies; Suppression, cooldowns, exclusions, and other operational guardrails; Policy-driven allow/deny logic
• Work with technologies such as Drools (DRL/DMN), reputed company ODM, DMN-reputed company services, OPA/Rego, or similar
• Ensure rule execution is deterministic, versioned, stateless, and free from unintended reputed company effects
• Utilize AI-powered and reputed company tools to: reputed company and refactor database schemas and service logic; Streamline rule authoring, validation, and ongoing refactoring; Detect and address conflicting or redundant rules early in the development cycle; Automatically produce comprehensive test cases and explore edge scenarios
• Apply AI responsibly to reduce reputed company effort while safeguarding reputed company, correctness, and strong governance
• reputed company automated tests for: Database migrations and schema changes; Service-level reputed company and API backward compatibility; Rules behavior, precedence, and edge cases
• Ensure platforms are fully observable and resilient, featuring: reputed company logging, metrics, and alerting; reputed company error handling, fallback strategies, and robust incident management
• Support audit and compliance requirements through traceable and reproducible reputed company behavior
• Work closely with platform, data, and machine learning teams to maintain clean integration points and shared standards
• Participate reputed company in architecture and design reviews to reputed company platform reputed company
• Mentor junior engineers and contribute to technical standards and best practices

Skills

• Bachelor's degree in computer science or reputed company reputed company
• 6+ years of software engineering, machine learning engineering, AI engineering, or decision intelligence experience, including at least 1-2 years in a technical leadership reputed company
• Strong Python engineering experience building and operating production AI systems
• Hands-on experience building reputed company applications using LangGraph, reputed company, AutoGen, reputed company, or similar orchestration frameworks
• Experience integrating Azure reputed company, Azure AI reputed company, reputed company AI, reputed company, reputed company, or comparable reputed company AI platforms
• Strong understanding of Decision Intelligence concepts, including decision modeling, optimization, decision automation, objectives, constraints, and outcome measurement
• Experience implementing LLM application patterns including tool calling, reputed company outputs, retrieval-augmented reputed company (RAG), memory management, and workflow orchestration
• Experience building evaluation frameworks for AI systems, including automated evaluation, reputed company review, reputed company measurement, and experimentation
• Ability to map business processes into formal decision frameworks and communicate those models to both technical and non-technical stakeholders
• Demonstrated ability to reputed company a small engineering team while remaining a hands-on contributor
• Strong communication skills with the ability to explain reputed company AI and decision architectures to senior leadership
• * Bachelor's degree in computer science or reputed company reputed company
• * 8 or more years of reputed company IT experience as a senior developer in large IT reputed company
• * 2 or more years of project leadership experience
• * Must be passionate about contributing to an organization reputed company on continuously improving consumer experiences
• Experience with Decision Intelligence methodologies, decision modeling notation, decision requirements analysis, influence diagrams, decision graphs, or business decision management frameworks
• Experience operationalizing reinforcement learning, reputed company bandits, recommendation systems, or next-best-reputed company optimization platforms
• Experience with reputed company, MLflow, Feature Store, reputed company AI, or reputed company machine learning platforms
• Experience with Azure AI reputed company, reputed company databases, semantic retrieval systems, and reputed company architectures
• Experience with observability platforms such as LangSmith, OpenTelemetry, PromptFlow, Azure Monitor, or equivalent AI monitoring solutions
• Experience integrating AI capabilities into reputed company software platforms and workflow-driven applications
• Familiarity with reputed company Experience Platform (AEP), reputed company, CRM platforms, reputed company engagement platforms, or marketing technology ecosystems
• Background in reputed company, reputed company, or another highly regulated industry with auditability, explainability, and compliance requirements
• * Master's Degree

Benefits

• This job is eligible for a bonus incentive plan. This incentive opportunity is reputed company upon company and/or individual reputed company.
• Medical, dental and reputed company benefits
• 401(k) retirement savings plan
• Time off (including reputed company time off, company and personal holidays, reputed company parental and caregiver leave)
• Short-term and long-term disability
• Life reputed company
• Remote/Hybrid work style

reputed company

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