Top Tech Jobs & Startup Jobs

Lead design, development, and delivery of application and data solutions across the SDLC. Gather requirements, perform technical and code reviews, own change requests, support production and on-call processes, manage vendors, and drive data pipeline/warehouse and AI/ML integrations on AWS.

Lead enterprise AI adoption by evaluating vendors and models, designing reusable agentic frameworks and reference architectures, developing prototypes and POCs, and enabling business units to deploy secure, scalable LLM-, RAG-, and agent-based solutions across cloud and microservice environments.

Support oversight of investment portfolios by producing performance analysis and attribution for fixed income, equity, and alternatives; assist with private equity and real estate benchmarking; coordinate with legal and external managers; compile diligence documentation and subsidiary reports; assist with portfolio management, trade settlements, rebalancing, audit/tax requests, and processing alternative investment capital calls.

Lead enterprise Responsible AI technical strategy and architecture. Design scalable, reliable LLM and agentic systems, build governance, controls, observability, and reusable platform services. Partner with cross-functional teams to operationalize fairness, safety, privacy, and regulatory-compliant AI deployments while mentoring engineering leaders.

Lead design, development, and deployment of large-scale production AI systems. Architect enterprise AI direction, modernize legacy systems, implement AI-enabled SDLC, establish governance and responsible AI practices, and mentor engineering teams to drive adoption and performance.

Designs and maintains databases and reports to track business performance. Analyzes large datasets (claims, provider, utilization), produces periodic and ad-hoc reports, diagnoses data issues, provides analytic consultation and recommendations, and develops SQL-based automations for payment and enrollment dispute processes.

Designs, codes, tests, and maintains complex applications; gathers requirements from customers; mentors developers; conducts code reviews; supports deployments, system monitoring, and on-call incident response; integrates with other IT teams.

Design, develop, and maintain complex technology platforms; code, test, and integrate system components; build, validate, and deploy statistical and machine learning models; extract and analyze clinical data; document requirements; collaborate with stakeholders; mentor peers and perform code reviews.

Lead and manage complex technical programs (cloud migrations, cybersecurity, application development, AI/ML). Oversee planning, governance, risk and cost management, track metrics, facilitate L-gates demand process, standardize prioritization and funding, report to senior stakeholders, and support engineering teams to deliver scope on schedule and budget.

Lead design and implementation of predictive modeling projects using large-scale data (Hadoop/Spark), develop proprietary algorithms, recommend batch and real-time scoring, build advanced visualizations, deliver actionable insights, and mentor data scientists while collaborating with business partners.