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Genai Engineer Jobs in Virginia (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

The ideal candidates should have hands-on knowledge of modern programming languages, familiarity ... Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model ...

Amivero

AI Engineer

Reston, VA

$75K - $190K/yr

GenAI and Bedrock experience The Gist... We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

GenAI and Bedrock experience The Gist... We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs ...

Amivero

AI Engineer

Reston, VA

GenAI and Bedrock experience The Gist... We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy advanced AI-powered solutions leveraging Large Language Models (LLMs ...

Mastercard, Inc.

Senior Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

Title and Summary Senior Platform Engineer Overview: Mastercard is seeking a Senior Platform ... This role focuses on enabling secure, scalable, and governed adoption of GenAI capabilities across ...

MasterCard

Senior Platform Engineer

Arlington, VA · Hybrid

$120K - $165K/yr

Drive GenAI technology adoption across internal user groups. Support change management efforts and ... Previous experience in platform engineering, cloud engineering, IT engineering, or enterprise ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Help develop GenAI-enabled features such as AI-assisted model insights, report summarization, chatbot integration, and prompt-based analytics. Collaborate with model developers, technology teams ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Help develop GenAI-enabled features such as AI-assisted model insights, report summarization, chatbot integration, and prompt-based analytics. Collaborate with model developers, technology teams ...

Freddie Mac

Senior Software Engineer (Gen AI)

Mclean, VA · On-site

$123K - $163K/yr

We are seeking a Senior Software Engineer (GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting-edge GenAI solutions that transform how we operate across ...

Freddie Mac

Senior Software Engineer (Gen AI)

Mclean, VA · On-site

$129 - $193/hr

Position Overview We are seeking a Senior Software Engineer (GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting‑edge GenAI solutions that transform how ...

Freddie Mac

Senior Software Engineer (Gen AI)

Mclean, VA · On-site

$123K - $163K/yr

We are seeking aSenior Software Engineer(GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting-edge GenAI solutions that transform how we operate across the ...

Freddie Mac

Senior Software Engineer (Gen AI)

Mclean, VA · On-site

$125K - $165K/yr

We are seeking a Senior Software Engineer (GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting-edge GenAI solutions that transform how we operate across ...

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All JobsGenai Engineer JobsGenai Engineer Jobs in Virginia

Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Virginia? For Genai Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Virginia look for? The top searched job categories for Genai Engineer jobs in Virginia are:
What cities in Virginia are hiring for Genai Engineer jobs? Cities in Virginia with the most Genai Engineer job openings:
Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Engineer

Tata Consultancy Service Limited

Mclean, VA • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Job Summary:
We are looking for motivated and enthusiastic trainees with a strong foundation in programming and emerging technologies. The ideal candidates should have hands-on knowledge of modern programming languages, familiarity with AI-enabled tools, and strong communication skills to effectively collaborate with teams and stakeholders
Key Responsibilities:
• Develop and Enhance GenAI Solutions : Build, fine-tune, and optimize LLM-based applications, ensuring high accuracy, reliability, and performance.
• Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model orchestration.
• Integrate AI into Products : Work with APIs, microservices, and backend systems to embed GenAI features into applications at scale.
• Monitor and Improve Model Performance : Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques.
• Collaborate and Ensure Responsible AI : Partner with cross-functional teams to implement secure, compliant, and ethically aligned AI systems
Qualification and Specialization:
Required Skills & Qualifications:
• Design, build, and optimize GenAI solutions using LLMs, transformer-based models, and multimodal architectures for real-world business applications.
• Fine-tune and evaluate pre-trained models (e.g., GPT, Llama, Claude, Gemini) using domain-specific datasets to improve accuracy and performance.
• Develop scalable AI pipelines including data ingestion, model training, inference services, and deployment on cloud platforms (Azure/AWS/GCP).
• Implement Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems.
• Integrate GenAI models into applications via APIs, SDKs, microservices, or custom backend frameworks (Python/Node.js).
• Optimize model performance through prompt engineering, model compression, quantization, and latency reduction techniques.
• Collaborate with cross-functional teams (data engineers, product owners, designers) to translate business needs into AI capabilities.
• Ensure security, compliance, and responsible AI practices including data privacy, model monitoring, bias mitigation, and ethical guidelines.
• Conduct experimentation and benchmarking to evaluate model performance, run A/B tests, and document results for continuous improvement.
• Stay up to date with the latest advancements in generative AI, LLM frameworks, and open-source tools while contributing to internal innovation initiatives.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000-$120,000 a year

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