Top Tech Jobs & Startup Jobs

Develop and deploy machine learning models for healthcare prediction, classification, intent understanding, and patient navigation. Own the full lifecycle from feature engineering and experimentation through production deployment, monitoring, and governance. Apply classical ML, deep learning, transformers, generative AI, and LLM techniques. Collaborate with product, engineering, research, and business stakeholders while ensuring responsible AI, fairness, transparency, and compliance.

Supports Optum Rx’s $425M capital portfolio through capital planning, governance, business case modeling, forecasting, budgeting, variance analysis, performance reporting, and investment decision support. Partners with business leaders, Finance, and enterprise governance teams to improve capital efficiency, reporting transparency, process effectiveness, and financial outcomes.

Leads and mentors an AI/ML engineering team developing, deploying, and maintaining enterprise solutions. Defines technology roadmaps, architectures, engineering strategy, and resource plans with business and product stakeholders. Oversees MLOps, SDLC practices, testing, CI/CD, model governance, security, privacy, compliance, and performance metrics. Manages technical risks and delivery while developing engineering talent and improving healthcare operations and customer experiences.

Serves as Scrum Master and Agile coach for enterprise software teams, facilitating Scrum ceremonies, coordinating dependencies, removing impediments, tracking delivery metrics, and managing team financials. Promotes self-organization, continuous improvement, cross-functional collaboration, and transparent execution within Release Train or Value Stream environments. Coaches teams in Agile practices, supports safe and accountable team cultures, and uses approved AI tools to streamline workflows and automate tasks.

Develops, configures, supports, and troubleshoots healthcare interoperability interfaces using Epic Bridges and HL7 v2.x. Responsibilities include interface mapping, message analysis, Epic build changes, vendor integrations, upgrade testing, queue and transaction monitoring, documentation, issue remediation, and compliance with HIPAA and security standards.

Designs and implements secure AI solutions and technical security controls; assesses AI systems for security and privacy risks; develops automation, monitoring, and detection capabilities; translates policies and regulations into controls; supports governance and audit readiness; and partners with engineering, security, risk, and business teams. The role also provides technical leadership and AI security education in an onsite, overnight-shift environment.

Leads technical product management for ServiceNow and workflow-enabled capabilities. Gathers requirements, translates business needs into technical specifications, manages backlog priorities, defines workflows and integrations, and partners with engineering, architecture, QA, operations, and stakeholders to deliver scalable, compliant solutions. Facilitates decisions, manages risks and dependencies, and applies AI and automation concepts to improve product outcomes without direct people management.

Serve as enterprise antitrust counsel, advising senior leaders and outside counsel on competition matters across litigation, M&A, procurement, employment, data governance, and transactions; respond to subpoenas and investigations; advise on conflicts of interest; develop legal strategy and deliver antitrust training in coordination with compliance.

Provide technical support for hardware and software issues, document incidents, train users, and manage IT inventory while ensuring compliance with security policies.

Owns commercial and intersegment billing, invoicing, reconciliations, financial controls, reporting, and data-quality processes. Partners with Finance, Operations, and technical teams to improve forecasting and decision support, modernize manual billing workflows, and prepare analytics for cloud data platforms such as Snowflake. Analyzes complex datasets, explains financial variances and risks, and communicates executive-level insights.