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Vertex Remote Jobs in California (NOW HIRING)

Redfish Recruiting

Experience with AI/ML flow, Kubeflow, Vertex AI, SageMaker, or similar platforms. * Background in ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

10a Labs

Software Engineer, Backend

San Francisco, CA · Remote

$105K - $125K/yr

Deploy and manage services on Google Cloud Platform (GCP) such as Cloud Run, Vertex AI, and API ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

SpaceX

Manager, Indirect Tax

Hawthorne, CA · On-site +1

$140K - $190K/yr

Experience working with indirect tax software (Vertex/AvaTax) * Familiarity with indirect taxes and ... hybrid and remote work will not be considered * Willing to work extended hours as necessary ...

Discord

Senior Indirect Tax Analyst

San Francisco, CA · On-site +1

$144K - $162K/yr

Hands-on experience with tax technology platforms (e.g., Avalara, Vertex, OneSource, Alteryx, or similar) This position is US-based and can be remote but if you live in the Bay Area, you're welcome ...

Discord

Senior Indirect Tax Analyst

San Francisco, CA · On-site +1

$144K - $162K/yr

Hands-on experience with tax technology platforms (e.g., Avalara, Vertex, OneSource, Alteryx, or similar) This position is US-based and can be remote but if you live in the Bay Area, you're welcome ...

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Vertex Remote information

What is the difference between Vertex Remote vs Vertex Customer Support Specialist?

AspectVertex RemoteVertex Customer Support Specialist
Required CredentialsHigh school diploma or equivalent; relevant experienceHigh school diploma; customer service experience often preferred
Work EnvironmentRemote, home-basedRemote, home-based or office depending on employer
Industry UsageTax technology, finance, and softwareTax software support, finance, and customer service
Common Search/ComparisonYesYes

The comparison between Vertex Remote and Vertex Customer Support Specialist highlights that both roles often require similar credentials and are typically remote positions within the tax and finance industry. While Vertex Remote may encompass a broader range of roles within the company, the Customer Support Specialist focuses specifically on assisting clients with software issues. Both positions are suitable for individuals seeking remote work in customer service or technical support within the tax technology sector.

What are the key skills and qualifications needed to thrive as a Vertex Remote Tax Consultant, and why are they important?

To thrive as a Vertex Remote Tax Consultant, you need strong knowledge of tax regulations, compliance, and tax software, often supported by a degree in accounting or finance. Familiarity with Vertex tax automation software and ERP systems like SAP or Oracle, as well as certifications such as CPA, are typically required. Excellent analytical skills, attention to detail, and effective communication are vital soft skills for interpreting tax data and collaborating with clients. These skills ensure accurate tax compliance, efficient problem-solving, and high-quality client service in a remote environment.

What is a Vertex Remote job?

A Vertex Remote job typically refers to a position at Vertex, a software company specializing in tax technology, that allows employees to work from a remote location rather than a traditional office. These roles can range from software engineering and technical support to sales and customer service, depending on the company's needs. Working remotely for Vertex means using digital tools to collaborate with colleagues, attend virtual meetings, and accomplish daily tasks, all while enjoying the flexibility of working from home or another location. This arrangement is designed to provide work-life balance while maintaining productivity and engagement. Vertex supports remote employees with resources and technology to ensure effective communication and workflow.

What are some common challenges faced by professionals working in a remote position at Vertex, and how are they typically addressed?

Professionals working remotely at Vertex often encounter challenges such as maintaining effective communication with distributed teams and ensuring consistent access to company resources. To address these, Vertex typically provides robust collaboration tools, regular virtual meetings, and centralized project management platforms to keep everyone aligned. Remote employees are encouraged to proactively communicate and participate in team check-ins, helping to foster a strong sense of connection and support despite the physical distance.
What are the most commonly searched types of Vertex jobs in California? The most popular types of Vertex jobs in California are:
What are popular job titles related to Vertex Remote jobs in California? For Vertex Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Vertex Remote jobs in California look for? The top searched job categories for Vertex Remote jobs in California are:
What cities in California are hiring for Vertex Remote jobs? Cities in California with the most Vertex Remote job openings:
Vertex Remote jobs near you
Infographic showing various Vertex Remote job openings in California as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 5% In-person, and 95% Remote job distribution.
AI Engineer- Federal Government Remote

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Posted 8 days ago

Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed — and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NC–based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.