Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build, deploy, and operate production machine learning and decisioning pipelines for Humana’s Decision Intelligence Platform. Responsibilities include MLOps, feature engineering, scoring workflows, monitoring, optimization-aware decisioning, reinforcement learning, simulation, constrained optimization, and large-scale data processing. The role partners with engineering and product teams to deliver reliable, scalable, auditable systems while addressing clinical eligibility, operational constraints, policy failure modes, and regulated-domain requirements.

Sets pricing assumptions and develops Medicare Part D bid pricing models. Analyzes claims, drug utilization, member behavior, market dynamics, drug launches, regulatory changes, and clinical developments to forecast pharmacy costs. Maintains pricing tools and utilization projections, researches cost trends, collaborates with pricing, clinical, pharmacy, formulary, and finance teams, and communicates recommendations to leadership.

Supports Service Fund Operations by developing data solutions, ETL pipelines, reporting tools, and data models using SQL, Databricks, UDAP, Python, Power BI, and related platforms. Performs data analysis, troubleshooting, root cause analysis, user acceptance testing, and data migration support. Collaborates with business operations, IT, and provider relations to translate requirements into technical solutions and improve reporting and data quality.

Lead AI-driven reconciliation and automation to improve encounter data quality. Own model performance, identify root causes, partner with technical and business teams to enhance models, prioritize roadmap, and scale automation while communicating results to stakeholders.

Leads the strategy, roadmap, delivery, and continuous improvement of Humana’s enterprise IVR and conversational automation portfolio. The role drives Google GECX-based voice bots, routing, LLM/NLU capabilities, generative and agentic experiences, platform modernization, governance, and measurable customer and operational outcomes. Responsibilities include building product teams, managing enterprise initiatives, partnering cross-functionally, influencing executives, and overseeing risks, dependencies, architecture, and prioritization.

Lead the digital product vision and roadmap for mobile-first and responsive experiences. Lead discovery, prioritize investments using analytics and customer insights, drive platform capability evolution, partner cross-functionally with Design, Engineering, Operations and Analytics, and manage delivery, documentation, and success metrics across multiple workstreams.

Build production-ready AI applications, services, APIs, reusable frameworks, and autonomous agents for enterprise quality engineering. Lead architecture and complex technical initiatives, integrate AI into software development and testing workflows, evaluate emerging technologies, and establish AI governance, security, observability, and development best practices. Partner across engineering, product, security, architecture, and data teams while mentoring engineers and shaping long-term AI strategy.

Designs and develops scalable technical learning solutions supporting Enterprise AI initiatives. Responsibilities include needs analysis, instructional design, SME collaboration, multimedia content creation, assessments, performance support, facilitation, LMS administration, and learning effectiveness measurement. The role applies generative AI and emerging technologies to improve learning design and learner engagement, manages learning projects, and communicates recommendations and outcomes to stakeholders. Remote work is expected, with occasional travel to Humana offices.

Designs and leads AI-focused learning pathways, translating business and performance needs into measurable objectives, assessments, practice opportunities, and performance support. Creates digital, live, virtual, cohort-based, and experiential learning solutions; collaborates with business partners, subject matter experts, vendors, and AI teams; coordinates timelines and dependencies; measures learner and performance outcomes; and develops reusable standards and templates to scale learning design.

Develop autonomous AI agents capable of goal setting, decomposition, planning, tool use, memory, and long-horizon execution. Build evaluation frameworks for alignment, reliability, and safety; identify goal misalignment and undesirable behaviors; and integrate agent systems with APIs, databases, search engines, and other tools. Responsibilities include designing production-ready machine learning systems, collaborating across teams, and advancing agent autonomy through planning, causal reasoning, model-based reinforcement learning, and language modeling.