Top Tech Jobs & Startup Jobs

Design, deploy, and maintain scalable machine learning and Generative AI solutions for healthcare and business use cases. Build predictive models, NLP, deep learning, LLM, RAG, vector search, data pipelines, and MLOps platforms. Optimize production AI systems for accuracy, performance, cost, security, and reliability while meeting governance and HIPAA requirements. Provide technical leadership, mentor engineers, evaluate emerging AI technologies, and collaborate with technical and business stakeholders.

Develop and deploy advanced AI, machine learning, deep learning, NLP, and computer vision solutions for healthcare. Lead end-to-end model development, including data preparation, feature engineering, modeling, deployment, monitoring, documentation, and lifecycle management. Optimize generative AI models, apply RAG and agentic AI techniques, conduct complex proofs of concept, establish development best practices, and collaborate with research, engineering, and product teams while promoting ethical AI.

Build and maintain scalable ETL pipelines, integrate data from databases, APIs, streaming platforms, and external providers, and transform large datasets for analytics and machine learning. Establish reusable engineering frameworks, data governance, monitoring, alerting, and reliability practices. Collaborate with analytics and business teams on cloud data migration, predictive model enablement, and healthcare cost reduction. Required skills include SQL, Python, Scala or Java, cloud platforms, Snowflake or Databricks, DevOps, Git, and CI/CD.

Enroll Medicare beneficiaries in skilled nursing facilities into UnitedHealthcare’s Institutional Special Needs Plan. Generate leads, educate facility personnel and residents, uncover needs, explain plan benefits, achieve territory enrollment targets, manage facility accounts, and document sales activity in compliance with Medicare marketing guidelines. The field-based role requires extensive local travel, flexible scheduling, health insurance licensure, and account management skills.

Manages a portfolio of large national healthcare accounts, driving retention, growth, profitability, renewals, and strategic account plans. Builds relationships with customers, brokers, consultants, and senior stakeholders; leads negotiations, client presentations, and RFP efforts. Coordinates internal teams to deliver client solutions, monitors financial performance, provides market feedback, and applies healthcare, underwriting, pricing, and analytical expertise.

Lead a cloud platform engineering team that designs, develops, operates, and secures scalable public cloud services. Responsibilities include infrastructure automation, CI/CD, monitoring, security controls, technical debt reduction, standards development, cross-team collaboration, and mentoring engineers in an agile environment.

Leads quality engineering practices by designing Java-based automation frameworks, executing end-to-end and integration testing, validating environments, tracking defects, and ensuring test coverage. Develops and maintains automation code, performs database and RESTful service testing, creates test plans and cases, investigates issues, and mentors team members. Collaborates within Scrum teams, manages development environments, deploys to cloud environments, and uses AI coding tools to improve productivity.

Technically lead distributed teams while designing, building, deploying, and supporting scalable AI and machine learning applications. Responsibilities include architecture and design reviews, application ownership, performance optimization, stakeholder engagement, model evaluation, exploratory data analysis, deep learning implementation, agentic architecture design, prompt engineering, and CI/CD delivery using cloud and modern development tools.

Architect, operate, and maintain resilient cloud infrastructure across Azure and AWS commercial and government environments. Support Kubernetes platforms, IaC, observability, monitoring, deployments, platform services, performance testing, and incident response. Define reliability metrics, participate in 24/7 on-call rotations, perform root cause analysis, and automate operational processes and remediation. The role requires U.S. citizenship and eligibility to obtain a Confidential, Secret, or Top Secret clearance.

Owns end-to-end delivery governance for technical workstreams, including timelines, scope, milestones, dependencies, risks, blockers, and stakeholder reporting. Drives delivery improvements through metrics such as velocity, throughput, and defects while coordinating Product, Business Analysis, Engineering, distributed teams, and vendors. Requires strong project management, Agile, planning, risk management, communication, and multitasking skills, along with experience leading IT delivery, data engineering, or analytics programs.