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Entry Level Generative Ai Engineer Jobs in Virginia

Merican

AWS AI Engineer

Herndon, VA · On-site

Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA

$55K - $126K/yr

R0236420 AI/ML Engineer The Opportunity: As a programmer, you know that machine learning is ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA

$55K - $126K/yr

R0236420 AI/ML Engineer The Opportunity: As a programmer, you know that machine learning is ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

As a programmer, you know that machine learning is critical to understanding and processing massive ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

AI/ML Engineer The Opportunity: As a programmer, you know that machine learning is critical to ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

Booz Allen Hamilton

AI/ML Engineer

Mclean, VA

$55K - $126K/yr

AI/ML Engineer The Opportunity: As a programmer, you know that machine learning is critical to ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

Booz Allen Hamilton

AI/ML Engineer

Chantilly, VA · On-site

$55K - $126K/yr

AI/ML Engineer The Opportunity: As a programmer, you know that machine learning is critical to ... Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ...

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Entry Level Generative Ai Engineer information

Will GenAI take entry-level jobs?

Entry-level Generative AI Engineer roles focus on developing and deploying AI models, and while automation may change some tasks, these jobs often require specialized skills in machine learning, programming, and data analysis. Entry-level positions typically involve learning and adapting to new AI tools, making them less likely to be fully replaced by automation in the near term.

What are common challenges faced by entry level Generative AI Engineers, and how can they be addressed?

Entry level Generative AI Engineers often encounter challenges such as mastering complex machine learning frameworks, understanding the nuances of training large models, and keeping up with rapidly evolving research. Collaborating closely with more experienced team members through code reviews and pair programming can accelerate learning. It's also helpful to engage in continuous education through online courses and participate in team discussions to stay updated on the latest advancements and best practices in the field.

What is the difference between Entry Level Generative Ai Engineer vs Data Scientist?

AspectEntry Level Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic knowledge of machine learning and programmingBachelor's or higher in CS, Statistics, or related; knowledge of data analysis and modeling
Work EnvironmentTech companies, AI startups, research labs focusing on AI model developmentVarious industries including finance, healthcare, marketing; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors developing generative modelsAcross multiple sectors using data to solve business problems

While both roles require a background in data and programming, Entry Level Generative Ai Engineers focus on developing AI models like generative adversarial networks, whereas Data Scientists analyze data to generate insights. The former is more specialized in AI model creation, while the latter covers broader data analysis tasks.

What are entry level generative AI engineers?

Entry level generative AI engineers are professionals who work with artificial intelligence technologies focused on creating new content such as images, text, audio, or code. They typically assist in developing, training, and fine-tuning machine learning models like GPT or GANs under the supervision of senior engineers. These roles usually require a strong foundation in programming, mathematics, and machine learning concepts, but may not demand extensive industry experience. Tasks often include data preprocessing, model evaluation, and contributing to research or product development involving generative AI.

What are the key skills and qualifications needed to thrive as an Entry Level Generative AI Engineer, and why are they important?

To thrive as an Entry Level Generative AI Engineer, you need a solid background in computer science, mathematics, and machine learning fundamentals, typically supported by a relevant degree or coursework. Familiarity with Python, deep learning frameworks like TensorFlow or PyTorch, and version control systems such as Git is important, along with any foundational certifications in AI or data science. Strong problem-solving ability, curiosity, and effective teamwork skills will help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and improving generative AI models in a rapidly evolving technical landscape.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in senior or executive roles. Achieving this level often requires advanced skills, extensive experience, and working in high-demand industries or companies with competitive compensation packages.

How can I become an AI engineer with no experience?

To become an entry-level generative AI engineer with no experience, focus on building foundational skills in programming languages like Python, learn machine learning concepts, and gain familiarity with AI frameworks such as TensorFlow or PyTorch. Completing online courses, working on personal projects, and participating in internships or open-source contributions can help develop practical experience and demonstrate your abilities to employers.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, with compensation including salary, bonuses, and stock options reaching that amount. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, usually found in leading tech companies or research institutions.
What are the most commonly searched types of Generative Ai Engineer jobs in Virginia? The most popular types of Generative Ai Engineer jobs in Virginia are:
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Entry Level Generative Ai Engineer jobs near you
AWS AI Engineer

AWS AI Engineer

Merican

Herndon, VA • On-site

Full-time

Posted 11 days ago

Job description

Role: AWS AI Engineer
Location: Herndon, VA
Work Mode: Onsite
About the Role
We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in deploying, scaling, and maintaining AI/ML workloads in production environments, along with experience in modern AI frameworks and platform engineering.
Certification Requirements (At least one required)
  • Active AWS Solutions Architect Certification
  • AWS Certified AI Foundations or AWS Certified AI Professional
  • Certified Kubernetes Administrator (CKA) - Active certification
Key Responsibilities
  • Deploy, manage, and troubleshoot Kubernetes clusters, including disconnected installations
  • Design, deploy, and upgrade Amazon EKS clusters in production environments
  • Perform advanced troubleshooting for EKS and Kubernetes-based systems
  • Implement and manage LLMOps workflows, including deployment, monitoring, and scaling of Generative AI systems
  • Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or AutoGen
  • Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus)
  • Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability
  • Implement AI governance frameworks, including security guardrails and cost optimization strategies
  • Build and support Internal Developer Platforms (IDP) for AI use cases
Must-Have Skills
  • Strong Kubernetes expertise (installation, administration, troubleshooting)
  • Extensive hands-on experience with Amazon EKS (deployment, upgrades, troubleshooting)
  • Proven experience with LLMOps and production-grade Generative AI systems
  • Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen)
  • Hands-on experience with vector databases and RAG architectures
  • Knowledge of AI governance, security guardrails (e.g., NeMo Guardrails), and cost control for LLMs
  • Experience building AI-focused Internal Developer Platforms
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

Social media

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