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Vertex Jobs in Virginia (NOW HIRING)

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 ...

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 ...

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 ...

Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling.

Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling.

Showing results 41-60

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 cities in Virginia are hiring for Vertex jobs?

Cities in Virginia with the most Vertex job openings:

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.

Sr Consultant - IT Strategy Consulting - AI

Gartner

Arlington, VA • On-site

Full-time

Retirement, PTO

Posted 28 days ago


Job description

Role Overview

Gartner Consulting is seeking a Senior Consultant with strong fluency in artificial intelligence to serve as a core delivery leader on high-impact client engagements. Sitting between Consultant and Engagement Manager levels, this role blends hands-on analytical work with emerging workstream leadership-owning discrete pieces of an engagement, guiding junior consultants, and translating Gartner's research and methodologies into practical, decision-ready client outcomes. The Senior Consultant is a rising trusted advisor who can hold their own in front of senior client stakeholders while driving the day-to-day delivery that makes engagements successful. The ideal candidate for this role has hands-on experience developing and deploying AI solutions in a consulting context.

Key Responsibilities

Engagement Delivery

  • Own one or more workstreams within a broader engagement-managing scope, timeline, analysis, and quality with limited oversight.
  • Conduct primary and secondary research: client interviews, workshops, data collection, benchmarking, and synthesis into clear insights.
  • Build the core analytical and storyline artifacts: maturity assessments, current-state diagnostics, agentic process reinvention, use-case prioritization matrices, roadmaps, and business cases.
  • Distinguish signal from noise in a fast-moving AI landscape, ensuring recommendations are tangible, specific, and grounded in client context.

AI Domain Contribution

  • Apply working fluency across the modern AI stack and it's place in an enterprise environment: understanding function-specific enterprise use cases for AI, and the implications to enable them across the organization (business requirements, IT implications, governance/operational)
  • Technical knowledge of one or more AI-enabled platforms (e.g., Copilot Studio)
  • Support AI strategy, operating-model design, data-readiness, and responsible-AI governance workstreams with credible technical depth.
  • Connect AI solution choices to business value, cost, risk, and change-management considerations.
  • Contribute to reusable accelerators and IP (e.g., AI Clinic/Lab tools, frameworks, templates) for the AI Center of Excellence.

Technical Delivery

  • Build and configure generative AI solutions and/or agents using one or more core AI platforms (e.g., Amazon Bedrock, Copilot Studio, Azure AI Foundry, Google Vertex AI, OpenAI Enterprise, Claude for Enterprise), including prompt design, workflow orchestration, knowledge grounding, testing, and deployment support.
  • Translate business and functional requirements into working AI-enabled prototypes, solution components, and implementation-ready recommendations that can be evaluated with client stakeholders and technical teams.

Client Interaction

  • Serve as a day-to-day client contact for assigned workstreams, building credibility with mid- to senior-level stakeholders.
  • Facilitate workshops and working sessions, capturing outcomes and translating them into next steps.
  • Communicate findings crisply through executive-quality decks, models, and written summaries.

Team & Capability Support

  • Guide and coach junior consultants and analysts, reviewing work products and modeling delivery standards.
  • Contribute to proposals, scoping, and thought leadership as a subject-matter contributor.
  • Help scale the AI Center of Excellence through case studies, offerings, and repeatable methods.

Required Qualifications

  • 4-7 years of experience in management consulting, technology strategy, data/analytics, or enterprise transformation, with meaningful recent exposure to AI/data.
  • Strong structured-thinking and problem-solving skills, with the ability to own analysis independently.
  • Solid technical literacy-able to engage credibly with technical teams while communicating clearly to business audiences.
  • Hands-on experience building generative AI solutions and/or agents using one or more core AI platforms (e.g., Amazon Bedrock, Copilot Studio, Azure AI Foundry, Google Vertex AI, OpenAI Enterprise, Claude for Enterprise).
  • Excellent storytelling, analytical modeling (Excel/Power BI), and written/verbal communication skills. Ability to develop bespoke interactive dashboards/tools is a plus.
  • Bachelor's degree required; advanced degree a plus.

Preferred Qualifications

  • Experience delivering AI strategy, data strategy, or AI/ML implementation workstreams.
  • Exposure to agentic AI, LLMOps, or enterprise data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, etc. ) is a plus.
  • Familiarity with Gartner research, frameworks, and methodologies.
  • Experience across multiple industries (financial services, high-tech, professional services, public sector).

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:112999

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