ZipRecruiter

Log In

1

Vertex Jobs in Virginia (NOW HIRING)

micro1 AI

AI/ML Engineer

Arlington, VA · On-site

Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. * Build robust data pipelines, manage ETL processes, and ...

New

micro1 AI

AI/ML Engineer

Sterling, VA · On-site

Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. * Build robust data pipelines, manage ETL processes, and ...

New

micro1 AI

AI/ML Engineer

Herndon, VA · On-site

Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. * Build robust data pipelines, manage ETL processes, and ...

New

micro1 AI

AI/ML Engineer

Alexandria, VA · On-site

Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. * Build robust data pipelines, manage ETL processes, and ...

New

Northramp LLC

Data Scientist (Looker/AI/BI)

Reston, VA · On-site

Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML). * Strong grounding in statistical methods: regression, classification ...

Northramp LLC

Data Scientist (Looker/AI/BI)

Reston, VA · On-site

Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML). * Strong grounding in statistical methods: regression, classification ...

Axon

Senior Manager, Tax Technology

Sterling, VA

Support and enhance the tax technology stack, including D365, Salesforce, Vertex O Series, Sigma, Snowflake, and related platforms. * Leverage AI and emerging technologies to improve workflows ...

Guidehouse

Cloud Architect

Mclean, VA · On-site

$130K - $216K/yr

Support teams in deploying managed Google Cloud AI products (e.g., Vertex AI endpoints, Gemini-based developer tools, Dialogflow agents) as part of broader cloud modernization efforts Migration ...

Guidehouse

Cloud Architect

Mclean, VA · On-site

$130K - $216K/yr

Support teams in deploying managed Google Cloud AI products (e.g., Vertex AI endpoints, Gemini-based developer tools, Dialogflow agents) as part of broader cloud modernization efforts Migration ...

Steampunk

AI Innovation Engineer

Mclean, VA

AWS Bedrock, GCP Vertex AI, Azure OpenAI Service * Vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) * Strong Python development skills with familiarity in building data pipelines, API ...

previous pagenext page

Showing results 21-40

All JobsVertex JobsVertex Jobs in Virginia

Vertex information

See Virginia salary details

$30.7K

$92.1K

$116K

How much do vertex jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vertex in Virginia is $92,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $115,500.00 per year, depending on experience, location, and employer.

What is a Vertex?

In the context of technology jobs, 'Vertex' often refers to a role at Vertex Pharmaceuticals or jobs related to Google's Vertex AI platform. For example, Vertex AI is a Google Cloud product that enables machine learning engineers and data scientists to build, deploy, and scale machine learning models. Job roles related to Vertex AI typically involve tasks such as data preprocessing, model training, deployment, and monitoring. If referring to Vertex Pharmaceuticals, jobs may involve pharmaceutical research, clinical trials, or business operations. It's important to clarify the industry to better understand the specific job responsibilities.

What are the key skills and qualifications needed to thrive as a Vertex Pharmaceuticals employee?

To thrive at Vertex Pharmaceuticals, you need a strong background in your relevant scientific or technical field, such as biology, chemistry, or drug development, often supported by an advanced degree. Familiarity with laboratory techniques, data analysis software, and regulatory compliance systems is commonly expected. Excellent teamwork, problem-solving, and communication skills set top performers apart in cross-functional and innovative environments. These abilities are essential for driving scientific discovery and ensuring the successful development of impactful therapies.

How does a Vertex Pharmaceuticals team member typically collaborate with cross-functional departments during drug development projects?

At Vertex Pharmaceuticals, team members often work closely with colleagues from research, clinical, regulatory, and commercial departments to advance drug development projects. Collaboration is key—regular cross-functional meetings and project updates ensure alignment on goals and timelines. You may participate in data reviews, strategy sessions, and cross-team problem-solving activities. This environment fosters both scientific innovation and professional growth, as employees learn from diverse experts across the organization.

What is the difference between Vertex vs Data Analyst?

AspectVertexData Analyst
Required CredentialsAccounting or tax certifications, CPA, or industry-specific licensesBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentFinancial, tax, or consulting firms; office-based or remoteCorporate, finance, healthcare, or tech industries; office or remote
Employer & Industry UsageUsed by accounting and tax firms for tax software solutionsUsed across industries for data interpretation and reporting

Vertex is primarily a tax software company focusing on tax calculation and compliance, often requiring accounting credentials. Data Analysts interpret data to inform business decisions across various industries. While both roles involve data handling, Vertex specialists focus on tax-related data, whereas Data Analysts work with broader datasets for strategic insights.

What are the most commonly searched types of Vertex jobs in Virginia?

The most popular types of Vertex jobs in Virginia are:

What are popular job titles related to Vertex jobs in Virginia?

For Vertex jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Vertex jobs in Virginia look for?

The top searched job categories for Vertex jobs in Virginia are:

What cities in Virginia are hiring for Vertex jobs?

Cities in Virginia with the most Vertex job openings:

Vertex jobs near you
Infographic showing various Vertex job openings in Virginia as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% In-person job distribution, with an average salary of $92,074 per year, or $44.3 per hour.

AI/ML Engineer

micro1 AI

Arlington, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description

Job Title: AI/ML Engineer

Job Type: Full-Time

Job Summary:

Join our customer’s team as an AI/ML Engineer, where you will help build and deploy next-generation AI solutions for critical government and enterprise applications. In this dynamic, hybrid role, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:

  • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  • Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications:

  • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  • Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications:

  • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  • Prior exposure to government or highly regulated cloud environments and compliance standards.

Apply