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Core Solutions Jobs in California (NOW HIRING)

Evolver

Product Solutions Architect

Palo Alto, CA · On-site

$74 - $97.50/hr

Product Solutions Architect Fusion Team - Platform Delivery & Applied Methodology Function ... We operate across four core pillars: Synthesis (the what & why), Calibration (the how), Validation ...

Evolver

Product Solutions Architect

Palo Alto, CA · On-site

$74 - $97.50/hr

Product Solutions Architect Fusion Team - Platform Delivery & Applied Methodology Function ... We operate across four core pillars: Synthesis (the what & why), Calibration (the how), Validation ...

LG Electronics

Validation Engineer I

Aliso Viejo, CA · On-site

$57K - $77K/yr

Driving better future mobility VS (Vehicle component Solutions) Company ( of LG Electronics focuses on commercializing environmentally responsible automotive components and core solutions based on LG ...

PDS Health

Workday Solutions Architect

Irvine, CA · On-site

Overview The Workday Solution Architect is responsible for translating functional requirements into scalable, secure, and maintainable Workday solutions across Core HCM, Payroll, Benefits, and ...

Slope

Digital Hardware Engineering Lead

Costa Mesa, CA · On-site

$170 - $255/hr

Collaborate with internal stakeholders to create the strategy for delivering hardware and IP core solutions across Anduril * Create, maintain and communicate product development schedules with ...

PDS Health

Workday Solutions Architect

Irvine, CA · On-site

$150K/yr

The Workday Solution Architect is responsible for translating functional requirements into scalable, secure, and maintainable Workday solutions across Core HCM, Payroll, Benefits, and Compensation ...

interface.ai

Solutions Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

Build reusable integration reference architectures, design documents, and runbooks for the core ... solution design through go-live. * Demonstrated career progression from hands-on engineering or ...

jobr.pro

Staff Digital Hardware Engineer

Costa Mesa, CA · On-site

$170 - $255/hr

Collaborate with internal stakeholders to create the strategy for delivering hardware and IP core solutions across Anduril * Create, maintain and communicate product development schedules with ...

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Showing results 41-60

All JobsCore Solutions JobsCore Solutions Jobs in California

Core Solutions information

See California salary details

$22.5K

$98.3K

$184.1K

How much do core solutions jobs pay per year?

As of Aug 22, 2026, the average yearly pay for core solutions in California is $98,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,003.00 and $136,112.00 per year, depending on experience, location, and employer.

What is a core solutions job?

Core Solutions jobs typically refer to roles focused on designing, implementing, and managing foundational technology or business systems that support an organization's essential operations. These positions can span IT, business analysis, engineering, or consulting, and often involve developing core products or services, integrating enterprise systems, or improving workflow efficiency. Professionals in Core Solutions roles work to ensure that critical processes and technologies are robust, scalable, and aligned with organizational goals. The specific responsibilities can vary widely depending on the industry and the company's needs.

How does a core solutions professional typically collaborate with cross-functional teams to deliver integrated business solutions?

Core Solutions professionals often work closely with departments such as IT, product management, and business operations to analyze needs, design scalable solutions, and ensure seamless implementation. They are frequently involved in project meetings, requirements gathering, and troubleshooting sessions, acting as a bridge between technical and non-technical stakeholders. Effective communication and a problem-solving mindset are essential, as these professionals help align technology initiatives with organizational goals. This collaborative environment not only fosters innovation but also provides valuable opportunities to learn from diverse teams and expand one's expertise.

What are the key skills and qualifications needed to thrive as a core solutions engineer, and why are they important?

To thrive as a Core Solutions Engineer, you need a solid background in computer science, networking, and systems architecture, often supported by a relevant degree or certifications such as CCNP or AWS Solutions Architect. Expertise with cloud platforms, virtualization tools, and enterprise infrastructure systems is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you develop and implement robust technical solutions. These skills are crucial for designing scalable, reliable solutions that meet organizational needs and drive business success.

What is the difference between Core Solutions vs Network Solutions?

AspectCore SolutionsNetwork Solutions
CertificationsCompTIA A+, Network+, Cisco CCNACompTIA Network+, Cisco CCNA, Cisco CCNP
Work EnvironmentData centers, enterprise IT departments, technical supportNetwork infrastructure, installation, and maintenance environments
Industry UsageIT service providers, corporate IT teamsTelecommunications, internet service providers, large enterprises

Core Solutions professionals focus on implementing and supporting core IT systems and infrastructure, while Network Solutions specialists primarily design, install, and maintain network hardware and connectivity. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What are popular job titles related to Core Solutions jobs in California?

For Core Solutions jobs in California, the most frequently searched job titles are:

What job categories do people searching Core Solutions jobs in California look for?

The top searched job categories for Core Solutions jobs in California are:

What cities in California are hiring for Core Solutions jobs?

Cities in California with the most Core Solutions job openings:

Core Solutions jobs near you
Infographic showing various Core Solutions job openings in California as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $98,301 per year, or $47.3 per hour.

Data Scientist, AI Solutions

DataVisor Inc.

Mountain View, CA • On-site

$120 - $170/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Role Summary

We are seeking a hands-on Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud and AML Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses.

Responsibilities
  • Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.
  • Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients.
  • Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated.
  • Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates.
  • Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features.
Qualifications
  • Education: MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
  • Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).
Preferred Qualifications
  • Experience with graph theory or link analysis for detecting network-based fraud.
  • Familiarity with unsupervised learning techniques or anomaly detection.
  • Previous experience working in a high-growth SaaS or Fintech environment.
  • Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).
  • Salary ranges between USD 120,000 and 170,000.
  • Total compensation includes base salary, performance bonuses, and equity options.
  • Comprehensive medical, dental, and vision insurance coverage.
  • 401(k) retirement savings plan available.
  • Flexible Time Off (FTO) plus paid holidays.
  • Opportunities for research, development, and professional advancement.
  • Regular team-building events in a collaborative and innovative work environment.
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