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Ai Engineer Developer Jobs in Virginia (NOW HIRING)

... and modern DevOps/MLOps practices. • Optimize performance, latency, scalability, and ... AI controls for secure and trustworthy solutions. • Stay current on emerging GenAI technologies ...

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube, environment configuration, and deployment automation. Help develop GenAI-enabled features such as AI ...

The AI Engineer will design, develop, and deploy machine learning, natural language processing, and generative AI solutions supporting the NMMES program at Naval Sea Systems Command (NAVSEA) in ...

AI Engineer

Mclean, VA · On-site

$98K - $163K/yr

Certifications in cloud architecture, DevOps, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes ... Experience contributing to client-facing engineering in consulting or product environments.

AI Engineer

Mclean, VA · On-site

$98K - $163K/yr

Certifications in cloud architecture, DevOps, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes ... Experience contributing to client-facing engineering in consulting or product environments.

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Support deployment of scalable and secure AI services using containers, serverless, and modern DevOps/MLOps practices. * Optimize performance, latency, scalability, and observability of GenAI systems ...

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Support deployment of scalable and secure AI services using containers, serverless, and modern DevOps/MLOps practices. * Optimize performance, latency, scalability, and observability of GenAI systems ...

AI Engineer

Reston, VA

$75K - $190K/yr

Support deployment of scalable and secure AI services using containers, serverless, and modern DevOps/MLOps practices. * Optimize performance, latency, scalability, and observability of GenAI systems ...

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on ...

New

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on ...

New

AI Engineer

Richmond, VA · On-site

$55K - $187K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Senior Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming ...

Senior AI Engineer

Reston, VA · On-site

$215 - $245/hr

IntelliGenesisis seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligenceoperations. This role focuses on ...

New

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine ...

Showing results 21-40

Ai Engineer Developer information

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

What are popular job titles related to Ai Engineer Developer jobs in Virginia? For Ai Engineer Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Virginia look for? The top searched job categories for Ai Engineer Developer jobs in Virginia are:
What cities in Virginia are hiring for Ai Engineer Developer jobs? Cities in Virginia with the most Ai Engineer Developer job openings:

AWS AI Engineer

Merican

Herndon, VA • On-site

Full-time

Re-posted 5 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

Merican logo

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

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