Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develops, configures, administers, and optimizes AI solutions and agents supporting healthcare business processes. Evaluates AI behavior, monitors metrics, tests outputs, maintains documentation, and recommends improvements. Partners with technical, governance, compliance, and business stakeholders to promote responsible adoption and measurable outcomes. Designs prompts, workflows, conversational experiences, and quality standards while ensuring privacy, accessibility, security, and human oversight requirements are addressed.

Leads enterprise AI intake, triage, governance, and value assessment across clinical and operational business units. Facilitates AI discovery workshops, develops ROI-driven business cases, advises citizen developers on low-code tools, translates business needs into technical requirements, and coordinates UAT for complex AI solutions. Partners with executives, product owners, and AI engineering teams to guide generative and agentic AI adoption, manage risk tiers, support Copilot prompt libraries, and track realized business value.

Leads an enterprise engineering team responsible for technology strategy, solution delivery, production support, reliability, security, and continuous improvement. Oversees staffing, vendors, projects, SDLC practices, incident management, KPIs, automation, and platform performance. Partners with business and IT stakeholders to translate needs into scalable solutions. Drives responsible AI adoption, AI-enabled capabilities, team AI training, and compliance with healthcare regulations and organizational standards.

Supports the application security program by testing web, service, and mobile applications; analyzing DAST and SAST results; documenting findings; developing proof-of-concept exploits; conducting source-code reviews; and creating security automation and integrations. Provides security guidance to development teams, maintains application security tools and processes, and develops software supporting security operations.

Prepares journal entries, reconciliations, financial statements, regulatory filings, cost and revenue analyses, payment requests, and audit support. Ensures compliance with GAAP, statutory accounting principles, NAIC requirements, and internal controls. Researches accounting standards and legislation, improves accounting processes, prepares reports and schedules, and supports timely financial reporting. Requires a bachelor’s degree and two years of related accounting or finance experience.

Leads a site reliability engineering team and owns the reliability, observability, automation, and AI-enabled operations roadmap. Establishes SLOs, SLIs, error budgets, and reliability metrics while advancing self-healing systems, AIOps, CI/CD, chaos engineering, incident response, capacity planning, and ITSM/ITOM integrations. Develops engineers, manages vendors, partners with security and governance teams, and drives adoption of engineering-led reliability practices across technology organizations.

Leads the design, implementation, optimization, governance, and evaluation of complex AI solutions, agents, and automations. Partners with business leaders to deliver AI-enabled healthcare experiences, workflows, and operational improvements. Serves as an AI subject matter expert, researches emerging capabilities, establishes best practices, supports responsible AI and risk mitigation, leads cross-functional initiatives, and mentors less experienced analysts.

Leads enterprise-wide strategic sourcing, category management, vendor relations, contract development, negotiations, and procurement policy. Develops sourcing roadmaps, analyzes markets and spend, manages supplier performance and risk, supports ROI and lease-versus-buy analyses, ensures regulatory compliance, and mentors sourcing team members. Partners with legal, finance, treasury, executives, business owners, and suppliers to optimize costs, improve processes, and deliver measurable category results.

Manages medium- to high-complexity projects from initiation through closure, including schedules, budgets, resources, risks, issues, governance, reporting, and stakeholder communication. Leads cross-functional business and IT teams, coordinates vendors, maintains project documentation and metrics, ensures compliance with EPMO standards, develops communication and training plans, and mentors junior project staff. The role requires managing projects with teams of 20 or more and budgets up to $3.5 million.

Supports the design, validation, and operationalization of predictive, machine learning, and AI models. Analyzes structured and unstructured data, develops algorithms, validates outcomes, creates visualizations, and communicates findings to stakeholders. Collaborates cross-functionally to integrate solutions and prepares model pipelines for business use. The role also involves statistical analysis, NLP, exploratory data analysis, feature engineering, and research into emerging technologies.