Top Tech Jobs & Startup Jobs

Build and operate production machine learning systems enabling autonomous medical coding at scale. Responsibilities include data discovery, feature engineering, model training and evaluation, deployment, monitoring, MLOps pipelines, LLM integration, observability, governance, fairness assessment, and A/B testing. The role also involves designing highly available low-latency architectures, defining technical roadmaps, and collaborating with product, design, data, and platform teams.

Supervise home-delivery pharmacy inventory operations, including receiving, storage, fulfillment, shipping, replenishment, audits, cycle counts, discrepancy resolution, expiration management, recalls, and vendor returns. Maintain WMS accuracy, analyze inventory KPIs, improve processes, ensure regulatory compliance, and lead physical inventories. Manage and develop inventory staff through training, performance evaluations, scheduling, and productivity oversight while coordinating with procurement, supply chain, quality, engineering, and operations teams.

Leads a global software engineering organization responsible for Payment Integrity capital projects and operational systems. Owns engineering delivery, organizational scaling, AI/ML adoption, cloud and interoperability standards, DevSecOps, automated testing, FinOps, reliability, compliance, and security across regulated payer workflows. Partners with executive stakeholders on roadmaps, budgets, costs, and growth while developing senior engineering leaders and succession pipelines.

Leads enterprise AI application architecture and hands-on development for LLM, agentic, multi-agent, and RAG solutions. Establishes scalable design patterns, governance standards, observability, reliability, and compliance practices. Collaborates with product, engineering, and compliance teams, evaluates emerging AI technologies, optimizes performance, and mentors senior engineers. The role requires extensive software engineering and enterprise AI architecture experience, with expertise in cloud-native systems, Kubernetes, CI/CD, MLOps, and production AI platforms.

Leads healthcare consulting engagements and enterprise programs, establishing PMO frameworks, managing risks, resources, milestones, and client relationships. Advises clients on AI-enabled process, product, and operational improvements; presents to senior leadership; oversees project delivery and financial targets; and mentors cross-functional teams. The role also drives change, process improvement, product capability development, and responsible adoption of AI tools across consulting engagements.

Leads complex technology, data, analytics, and transformation initiatives from planning through production deployment. Defines scope, requirements, timelines, and success measures; manages project plans, risks, dependencies, governance, and cross-functional deliverables. Coordinates Product, Engineering, Data Science, Architecture, Compliance, Privacy, Legal, and Operations stakeholders. Drives implementation readiness, communicates status and recommendations to senior leaders, and supports data assets, integrations, platform enhancements, and continuous improvement.

Leads market growth and complex sales of Optum Whole Health Solutions to payer clients. Develops territory strategies, builds executive relationships, creates pipelines, orchestrates cross-functional solution teams, negotiates and closes major deals, and manages revenue targets. Requires strong knowledge of payer markets, health plans, clinical solutions, competitive positioning, and consultative enterprise selling. The role is remote within the U.S. with regular travel of 25% and potentially up to 50%.

Sells Whole Health Solutions to employer-market clients, owning revenue goals, pipeline development, consultative solution design, demonstrations, RFI/RFP responses, business cases, pricing support, and implementation handoffs. Acts as the clinical solutions authority, translating clinical models, analytics, outcomes, and financial value into employer-focused proposals. Partners with clinical, product, actuarial, legal, finance, and operations teams while maintaining client relationships, market knowledge, and accurate CRM records.

Leads financial analysis and pricing for complex deals, including RFP responses, financial modeling, cost-structure analysis, and approval processes. Partners with business unit executives to develop solutions, assess risks, recommend pricing, and communicate findings to leadership. Requires cross-functional collaboration, knowledge of market trends, strong analytical skills, and the ability to manage competing priorities in a matrixed organization.

Design, develop, test, deploy, monitor, and support critical rules applications in production. Build IBM ODM rules, Java REST and GraphQL APIs, Kafka integrations, MySQL schemas, CI/CD pipelines, and Kubernetes deployments. Use observability tools to maintain system availability, security, and resilience. Collaborate with architects, business teams, and application groups, participate in Agile and release governance activities, document systems, and apply AI-powered development tools to improve engineering productivity and quality.