ZipRecruiter

Log In

1

Genai Jobs in Virginia (NOW HIRING)

PhoenixTeam

GenAI Engineer

Arlington, VA · On-site

$60K - $130K/yr

Role Overview We're looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments. This is not a purely ...

BTree Solutions, Inc.

GENAI DEVELOPER

Mclean, VA · On-site

GENAI DEVELOPER Location: Mclean,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 1) Agentic test automation foundation (reusable patterns + reference implementations) * Design ...

PhoenixTeam

GenAI Engineer

Arlington, VA · Remote

Role Overview We're looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments. This is not a purely ...

Technology Ventures

GenAI UAT Tester

Reston, VA · On-site

GenAI UAT Tester Location: Reston, VA Description: Seeking an experienced Data Analytics Engineer / Business UAT Tester with 7+ years of analytics, monitoring, visualization, production support, and ...

Sentrillion

GenAI Developer

Reston, VA · On-site

$115K - $195K/yr

Recruiting for GenAI Developer experience to join our team in our Ashburn VA facility. This is a flexible onsite position. Must be able to report to the office as required. * Design, develop, and ...

Sentrillion

GenAI Developer

Ashburn, VA

Recruiting for GenAI Developer experience to join our team in our Ashburn VA facility. This is a flexible onsite position. Must be able to report to the office as required. * Design, develop, and ...

Sentrillion

GenAI Developer

Reston, VA · On-site

$115K - $195K/yr

Recruiting for GenAI Developer experience to join our team in our Ashburn VA facility. This is a flexible onsite position. Must be able to report to the office as required. * Design, develop, and ...

next page

Showing results 1-20

All JobsGenai JobsGenai Jobs in Virginia

Genai information

What are the typical day-to-day responsibilities of a GenAI specialist?

As a GenAI Specialist, your typical day may involve designing, developing, and optimizing generative AI models for various applications, such as natural language processing or image synthesis. You'll often collaborate closely with data scientists, software engineers, and product teams to align AI solutions with business needs. Tasks may include data preprocessing, model evaluation, fine-tuning algorithms, and addressing ethical or bias considerations in AI outputs. You may also participate in research initiatives, documentation, and client presentations, offering a dynamic and intellectually stimulating work environment.

What is a GenAI?

A GenAI (Generative AI) job involves working with artificial intelligence models that generate text, images, code, or other content. Roles in this field can include AI research, machine learning engineering, prompt engineering, or AI ethics. Professionals in GenAI work with large language models (LLMs) and deep learning frameworks to refine AI-generated outputs and integrate them into applications. These jobs are found in industries like tech, marketing, healthcare, and finance, where AI-powered automation and content generation are valuable.

What are the key skills and qualifications needed to thrive in the GenAI position?

To excel as a GenAI (Generative AI Specialist), you need a strong background in computer science, machine learning, and artificial intelligence, typically with a relevant degree and experience in training large language models. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and cloud platforms is highly valued, along with certifications like AWS Certified Machine Learning or Google Professional Data Engineer. Strong analytical thinking, creativity, and collaborative communication are standout soft skills in this field. These competencies ensure effective model development, seamless teamwork, and the ability to deliver innovative AI solutions in business contexts.

What are popular job titles related to Genai jobs in Virginia? For Genai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Genai jobs in Virginia look for? The top searched job categories for Genai jobs in Virginia are:
What cities in Virginia are hiring for Genai jobs? Cities in Virginia with the most Genai job openings:
Genai jobs near you
Infographic showing various Genai job openings in Virginia as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

GenAI Engineer

PhoenixTeam

Arlington, VA • On-site

$60K - $130K/yr

Full-time

Re-posted 7 days ago

Job description

PhoenixTeam is a remote-first organization and applicants for this position can work from anywhere within the US.
Role Overview
We're looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments.
This is not a purely research role - and not a narrow "model tinkering" role either. You'll operate at the intersection of applied AI engineering, client delivery, and internal capability building, turning promising GenAI concepts into reliable, production-ready solutions.
You'll work closely with Value Engineers, clients, and internal stakeholders to match the right models and architectures to real business problems - especially in regulated, high-stakes environments. This role is ideal for someone who enjoys ownership, thrives in ambiguity, and wants to see their work move from prototype to production.
What You'll Do
  • Applied AI Engineering & Delivery
  • Design, implement, fine-tune, and deploy generative AI and ML solutions aligned to real business use cases.
  • Translate technical and business requirements into scalable AI architectures and implementation plans.
  • Lead or support end-to-end AI solution delivery, from experimentation through deployment and iteration.
  • Serve as the primary technical voice on GenAI initiatives, ensuring clarity across technical and non-technical stakeholders.
  • Model Selection, Tuning & Scaling
  • Evaluate and apply appropriate models (e.g., GPT-based LLMs, BERT-style architectures, or other approaches) based on problem context.
  • Fine-tune, integrate, and operationalize models with support from specialized teammates when needed.
  • Contribute to decisions around model performance, cost, latency, and reliability tradeoffs.
  • Support early MLOps practices, including deployment patterns, monitoring, and iteration.
  • Collaboration & Enablement
  • Partner closely with Value Engineers, product leaders, and clients to align AI solutions with business goals.
  • Communicate complex technical concepts clearly to non-technical audiences.
  • Contribute to internal knowledge sharing, patterns, and best practices for GenAI delivery.
  • Mentor teammates and support PhoenixTeam learning and growth initiatives.
  • Continuous Learning & Innovation
  • Stay current on emerging GenAI techniques, tools, and platforms.
  • Experiment with new approaches and bring practical insights back to the team.
  • Support PhoenixTeam's evolution in AI delivery methods, tooling, and ways of working.

What You Bring
  • Must-Have:
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
  • Experience delivering technical projects that involve collaboration across stakeholders with varying technical depth.
  • Hands-on familiarity with generative AI concepts (e.g., LLMs, fine-tuning, embeddings) and a strong desire to deepen expertise.
  • Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP).
  • Strong communication skills - you can explain why and how, not just what.
  • Ability to take ownership, manage priorities, and deliver outcomes in fast-moving environments.
  • Nice-to-Have:
  • Exposure to MLOps practices, containerization, or model monitoring.
  • Experience with AI/NLP applications beyond basic experimentation.
  • Familiarity with AI evaluation methods and performance metrics.
  • Interest in ethical AI, governance, and data security principles.
  • Experience in regulated industries (a plus, not a blocker).

What Success Looks Like:
  • Delivery Excellence: You produce polished, high-quality work and take ownership of outcomes - not just tasks.
  • Leadership & Resilience: You lead through influence, adapt quickly, and help teams stay aligned when things change.
  • Teamwork: You're a generous collaborator who adds value, shares knowledge, and steps in when help is needed.
  • Client Mindset: You care deeply about client outcomes and build trust through clarity, empathy, and follow-through.
  • Learning Champion: You're curious, self-directed, and committed to continuous growth.
  • Mentor & Coach: You support others through feedback, guidance, and shared problem-solving.
  • Operational Excellence & Innovation: You help improve how PhoenixTeam works - from internal processes to communities of practice.

Apply