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Insurance Implementation Jobs in California (NOW HIRING)

Sciforium

Model Implementation Engineer

San Francisco, CA · On-site

$165K - $220K/yr

In this role, you will implement, maintain, and optimize a large and evolving library of ... Medical, dental, and vision insurance * 401k plan * Daily lunch, snacks, and beverages * Flexible ...

Altium

Senior Implementation Engineer

Firebaugh, CA · On-site

The Senior Implementation Engineer (SIE) is assigned to customers once the deal is closed. SIEs ... In addition to elective benefit options, benefited employees receive company-paid life insurance ...

Relevance AI

Head of Implementation

San Francisco, CA · On-site

The Role We're hiring a Head of Implementation for our Americas region to turn high‑value AI use ... Health Insurance Contribution - Relevance AI contributes to the cost of individual medical, dental ...

Muon Space

SAP Implementation Manager

San Jose, CA · On-site

$177K - $201K/yr

About the role Muon seeks a SAP Implementation Manager to join our Information Systems team. The ... life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid ...

Rently

Implementation Project Manager

Camarillo, CA

$90K - $95K/yr

As an Implementation Project Manager, you'll own the client onboarding experience from contract ... Full-Time Employee Benefits: 75% monthly medical, dental, vision, disability, and life insurance ...

New

Rently

Implementation Project Manager

Camarillo, CA · On-site

$90K - $95K/yr

As an Implementation Project Manager, you'll own the client onboarding experience from contract ... Full-Time Employee Benefits: 75% monthly medical, dental, vision, disability, and life insurance ...

New

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All JobsInsurance Implementation JobsInsurance Implementation Jobs in California

Insurance Implementation information

What are some common challenges faced during the insurance implementation process, and how can I effectively address them in this role?

One of the most common challenges in insurance implementation is managing tight timelines while coordinating among multiple stakeholders, such as clients, underwriters, and IT teams. Clear communication and proactive project management are crucial to ensure all requirements are gathered and addressed efficiently. Additionally, adapting to varying client systems and ensuring seamless data migration can be complex, so attention to detail and problem-solving skills are highly valued. Collaborating closely with cross-functional teams and maintaining flexibility will help you navigate these challenges successfully.

What are the key skills and qualifications needed to thrive as an insurance implementation specialist, and why are they important?

To thrive as an Insurance Implementation Specialist, you need a solid understanding of insurance products, project management principles, and process optimization, typically supported by a degree in business, finance, or a related field. Familiarity with insurance management software, CRM systems, and data analysis tools is commonly required, along with certifications like PMP or Lean Six Sigma being advantageous. Strong communication, problem-solving abilities, and attention to detail help facilitate smooth onboarding and collaboration with clients and internal teams. These skills are crucial for ensuring seamless policy implementation, client satisfaction, and efficient project delivery in a highly regulated industry.

What are insurance implementation jobs?

Insurance implementation jobs involve coordinating the setup and integration of insurance policies, systems, or products for clients or companies. These roles often require knowledge of insurance processes, strong project management skills, and familiarity with industry software. Tasks may include onboarding clients, configuring policy systems, and ensuring compliance with regulations.

What is the difference between Insurance Implementation vs Insurance Underwriting?

AspectInsurance ImplementationInsurance Underwriting
Primary RoleDeploys insurance products, manages client onboarding, and ensures policy setupEvaluates risk, determines policy terms, and approves coverage
Required CertificationsTypically requires insurance licenses and product knowledgeRequires licenses, risk assessment skills, and underwriting certifications
Work EnvironmentOffice-based, client-facing, project-drivenOffice-based, analytical, decision-making focused
Industry UsageCommon in insurance companies, brokers, and agenciesIntegral to insurance companies and underwriting firms

Insurance Implementation focuses on deploying insurance products and onboarding clients, while Insurance Underwriting involves assessing risks and approving policies. Both roles require insurance licenses and industry knowledge, but they differ in daily tasks and responsibilities within the insurance industry.

What is insurance implementation?

Insurance implementation refers to the process of setting up and integrating insurance products, systems, or policies within an organization. This typically involves coordinating with stakeholders, configuring software platforms, training staff, and ensuring regulatory compliance. The goal is to make sure that new insurance offerings or systems are launched smoothly and efficiently, minimizing disruptions to business operations. Professionals in insurance implementation manage timelines, oversee data migration, and address any technical or operational challenges that arise during the transition.

What are popular job titles related to Insurance Implementation jobs in California?

For Insurance Implementation jobs in California, the most frequently searched job titles are:

What job categories do people searching Insurance Implementation jobs in California look for?

The top searched job categories for Insurance Implementation jobs in California are:

What cities in California are hiring for Insurance Implementation jobs?

Cities in California with the most Insurance Implementation job openings:

Insurance Implementation jobs near you

Model Implementation Engineer

Sciforium

San Francisco, CA • On-site

$165K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Job description

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
About the role
We are seeking a highly skilled Model Implementation Engineer who is passionate about bringing cutting-edge machine learning models into production-ready systems. In this role, you will implement, maintain, and optimize a large and evolving library of state-of-the-art models across modalities, ensuring high performance and reliability from day one.
You will work at the intersection of research and systems, translating the latest ideas into robust, scalable implementations. This includes collaborating closely with GPU kernel and systems teams to ensure models are efficiently executed on modern accelerators.
This role is ideal for someone who thrives in fast-moving environments, enjoys working across a wide range of model architectures, and wants to play a key role in enabling rapid adoption of the latest advancements in AI.
Key Responsibilities
  • Maintain and evolve a large-scale library of modern machine learning models, including but not limited to LLMs, ASR, TTS, image and video models, and diffusion-based systems.
  • Implement new model architectures and research ideas, ensuring correctness, scalability, and production readiness.
  • Rapidly integrate newly released open-source models to enable day-0 support across the platform.
  • Collaborate closely with GPU kernel and systems teams to optimize model execution and improve overall performance.
  • Benchmark models rigorously and ensure they meet internal performance, latency, and efficiency standards.
  • Contribute to the canonicalization and standardization of model implementations across the library.
  • Develop and maintain internal tooling, testing frameworks, and documentation to support model reliability and reproducibility.
Must-Haves
  • At least 3 years of industry or research experience in model implementation or applied machine learning.
  • Master of Science (or higher) in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong programming skills in Python and experience working with modern ML frameworks.
  • Hands-on experience with JAX and/or PyTorch (JAX strongly preferred).
  • Proven experience maintaining and developing model libraries or reusable ML components.
  • Solid understanding of deep learning architectures across multiple domains (e.g., NLP, vision, speech, generative models).
  • Experience implementing models from research papers and adapting them for real-world usage.
  • Ability to work across teams and collaborate with systems and performance engineering groups
Nice-to-Haves
  • Experience with model performance optimization and profiling.
  • Familiarity with low-level performance considerations when running models on GPUs/TPUs.
  • Experience working with large-scale model training or inference systems.
  • Contributions to open-source model repositories or ML frameworks.
  • Experience with JAX-first workflows and advanced features (e.g., pjit, xmap, or custom transformations).

Benefits include
  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity

Equal opportunity
Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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