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Vertex Remote Jobs in Georgia (NOW HIRING)

Tarkett Sports

SAP Integration Manager

Calhoun, GA · On-site +1

The position is remote to the United States, preference in Georgia, Atlanta and requires heavy ... Integrate SAP with enterprise platforms including Salesforce, Workday, Snowflake, Procore, Vertex ...

Tarkett

SAP Integration Manager

Calhoun, GA · On-site +1

The position is remote to the United States, preference in Georgia, Atlanta and requires heavy ... Integrate SAP with enterprise platforms including Salesforce, Workday, Snowflake, Procore, Vertex ...

BELAY - Corporate

Sales Tax Accountant

Atlanta, GA · On-site +1

$40K - $55K/yr

... Remote Travel Requirement Occasional travel is required, including attendance at BELAY's annual ... Experience with automated tax platforms such as Avalara, Vertex, or Sovos. * Experience with ERP ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Worldpay

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI) * Agile ...

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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 Georgia? The most popular types of Vertex jobs in Georgia are:
What are popular job titles related to Vertex Remote jobs in Georgia? For Vertex Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Vertex Remote jobs in Georgia look for? The top searched job categories for Vertex Remote jobs in Georgia are:
Vertex Remote jobs near you
Infographic showing various Vertex Remote job openings in Georgia as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 23% In-person, and 77% Remote job distribution.

Enterprise AI Engineer (GCP)

INFT Solutions Inc

Atlanta, GA • On-site, Remote

Contractor

Posted 21 days ago

Job description

Job Description: Enterprise AI Engineer (GCP)
Location: Remote / Hybrid Focus: Agentic AI, Data Intelligence, and Enterprise Scale
Role Overview
We are looking for a Principal Enterprise AI Engineer to architect and deliver high-impact AI
solutions within the Google Cloud ecosystem. This role is designed for a technical leader who
can bridge the gap between complex data landscapes and autonomous AI systems. You will lead
the development of Agentic AI frameworks and Data Intelligence platforms that drive
significant digital transformation for global enterprise clients.
Core Responsibilities
 Architect Agentic Systems: Design and deploy multi-agent orchestration frameworks
using Vertex AI Agent Builder, LangGraph, or CrewAI to automate complex, multi-step
business workflows.
 Master RAG Architectures: Build and optimize high-performance Retrieval-
Augmented Generation (RAG) systems, ensuring LLMs are grounded in enterprise data
across BigQuery and Databricks.
 Model Strategy & Optimization: Select and fine-tune models within the Gemini 1.5
family, balancing high-reasoning capabilities (Pro) with high-speed efficiency (Flash) for
production-grade latency.
 Legacy Transformation: Lead the strategic migration of legacy analytics logic (e.g.,
SAS environments) into modern, AI-powered cloud architectures.
 GTM Collaboration: Work closely with Go-To-Market (GTM) leadership to translate
technical AI roadmaps into measurable business value for C-suite stakeholders.
Required Skill Requirements
1. Agentic AI & Orchestration
 Framework Mastery: Expert implementation of LangChain, LangGraph, or
LlamaIndex for stateful, autonomous agent development.
 Advanced Prompting: Proficiency in Chain-of-Thought (CoT), ReAct patterns, and
system instruction optimization to ensure reliable model output.
 Function Calling: Experience building custom tools that allow LLMs to interact
securely with enterprise APIs and SQL databases.
2. Data Intelligence & Engineering
 Hybrid Data Ecosystems: Deep experience integrating Google Cloud AI services with
Databricks (Delta Lake) for unified data intelligence.
 Vector Engineering: Proficiency with Vertex AI Vector Search (formerly Matching
Engine) and embedding strategies for large-scale semantic search.
 Data Flow: Skill in building scalable pipelines using Dataflow or Spark to process
unstructured data for AI readiness.
3. LLMOps & Production Engineering
 Evaluation Frameworks: Ability to build automated "LLM-as-a-judge" evaluation
pipelines to track accuracy, faithfulness, and hallucination rates.
 Cloud Infrastructure: Mastery of the Vertex AI suite (Studio, Model Garden, Pipelines)
and Infrastructure as Code (Terraform).
 Programming: Expert-level Python (FastAPI, Pydantic) and advanced SQL.
4. Strategic Governance
 Responsible AI: Implementation of safety filters, PII redaction, and ethical AI
monitoring.
 Business Translation: Ability to convert technical metrics (latency, token costs) into
business KPIs (ROI, process efficiency).
Qualifications
 Experience: 8+ years in Software Engineering or Data Science, with at least 3+ years
focused on production-grade AI/ML.
 Education: B.S./M.S. in Computer Science, AI, or a related quantitative field.
 Certifications: Google Professional Machine Learning Engineer or Professional Cloud
Architect (preferred).
Technology Stack
 AI/ML: Vertex AI, Gemini 1.5 Pro/Flash, PyTorch.
 Data: BigQuery, Databricks, Vertex Vector Search.
 Orchestration: LangGraph, Vertex AI Agent Builder.
 DevOps: GitHub Actions, Terraform, Vertex AI Pipelines.