Top Insurance Jobs in Denver & Boulder, CO

Design, develop, implement, and evaluate synchronous, asynchronous, and blended learning solutions. Partner with SMEs and business units to create eLearning, instructor-led training, job aids, assessments, and metrics-driven improvements. Manage multiple instructional design projects, facilitate Train-the-Trainer sessions, and leverage e-learning tools (including Articulate and AI-enabled technologies) to improve associate performance and ROI.

Assist the Chief Strategy Officer in executing corporate strategy, perform analysis, support decision-making, and develop strategies to enhance Agero's market position.

Leads enterprise learning architecture, digital learning infrastructure, AI-assisted learning pathways, skills forecasting, curriculum design, manager enablement, and learning analytics. Partners with business leaders to align capability development with strategic goals, modernizes learning technology, builds personalized upskilling programs, and measures learning impact, skill velocity, behavioral adoption, internal mobility, and return on investment.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

Support the Securities-Based Lending (SBL) Solutions Desk by assisting customers and financial representatives, coordinating with Credit Risk and Operations, resolving collateral and credit issues, performing outbound client communications, preparing regulatory and management reporting, and recommending servicing improvements to senior leadership.

Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.

Lead end-to-end development and deployment of predictive and hybrid deep learning/LLM models for insurance use cases. Prototype, validate, and productionize models using modern ML frameworks and MLOps, collaborate with product and engineering, and communicate technical results to stakeholders to drive measurable business impact.

Lead high-impact modeling initiatives using deep learning, LLMs, and traditional methods. Prototype, deploy, and monitor hybrid models on large insurance datasets, drive MLOps standards, and communicate results to nontechnical stakeholders to realize business impact.

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.

Lead development and lifecycle management of supplemental health insurance products (Critical Illness, Cancer, Accident, Hospital Indemnity). Drive market research, competitive analysis, go-to-market plans, and cross-functional launches working with Pricing, Contracts, Operations, Technology, Training, and Sales to deliver product strategy and execution.

Manages and resolves disability claim escalations, customer inquiries, and processing questions. Investigates concerns, performs root cause and trend analysis, maintains database integrity, and recommends process improvements. Collaborates with Legal, privacy, account, claims, operations, and leave teams to address escalations and improve customer satisfaction. Requires disability claims expertise, knowledge of disability products and applicable laws, and proficiency with basic Microsoft tools.

Lead a hands-on IAM engineering team building scalable authentication and authorization services for multi-tenant enterprise customers. Shape architecture, write production Go code, review changes, manage on-call operations, and own observability, reliability, and security. Recruit and develop engineers, manage roadmaps and delivery, partner with product and enterprise stakeholders, and drive identity platform initiatives including SSO, provisioning, policy enforcement, token strategy, and regulatory auditing. Promote responsible AI coding-tool adoption and maintain high engineering standards.

Lead exploratory testing within R&D, uncovering risks that automated checks miss across complex, configuration-driven insurance systems. Develop test charters, risk models, coverage and testability maps, and clear bug, risk, and compliance narratives. Partner with Product and Engineering on specification-by-example, observability, testability, and release readiness. Build testing tools, evaluate AI-generated code and tests, coach quality practitioners, and support auditable quality decisions without owning release approval.

Leads complex MGA insurance technology consulting engagements from discovery through implementation and optimization. Advises customers on underwriting, policy administration, distribution, delegated authority, and operational workflows. Supports pre-sales discovery, solution scoping, estimates, SOWs, workshops, and executive presentations. Mentors consultants, improves delivery methodologies, manages escalations, conducts user acceptance testing, and drives post-implementation adoption. Requires deep P&C insurance and MGA expertise, enterprise software implementation experience, and knowledge of integrations, APIs, data migration, and Agile delivery.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.