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Azure Openai Jobs in Virginia (NOW HIRING)

Beyond SOF

Agentic Engineer.

Richmond, VA · On-site

$106K - $127K/yr

Experience with Azure services including Blob Storage, Data Lakes, Databricks, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI, Azure Media Services, and Azure AI ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Azure OpenAI, Llama (Meta), Claude, etc.., and task-specific OSS models (vision, speech), with policy-driven model routing for performance, safety, and cost. Integrate and Operate AI Infrastructure

Elder Research

Data Scientist

Arlington, VA · Hybrid

Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search. * Experience delivering data-science work in a federal or other regulated environment ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search. * Experience delivering data-science work in a federal or other regulated environment ...

Elder Research

Data Scientist

Arlington, VA · On-site

Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search. * Experience delivering data-science work in a federal or other regulated environment ...

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Azure Openai information

What are the key skills and qualifications needed for an Azure OpenAI?

To thrive in an Azure OpenAI role, you need strong expertise in Microsoft Azure cloud services, a deep understanding of OpenAI technologies, and a background in machine learning or data science. Familiarity with tools such as Azure Cognitive Services, Azure Machine Learning, Python programming, and relevant Microsoft or AI certifications is highly beneficial. Excellent problem-solving skills, collaboration, and effective communication are crucial soft skills for this position. These skills are vital to successfully deploying AI solutions, addressing client needs, and working efficiently within cross-functional teams in a rapidly evolving technology environment.

What can I do with Azure OpenAI?

As an Azure OpenAI specialist, you can develop and deploy AI models such as language, image, and code generation tools using Azure's cloud platform. You can integrate these models into applications, automate workflows, and leverage Azure's security and compliance features to build scalable AI solutions. Familiarity with Azure services, APIs, and AI model management is essential for this role.

What does an Azure OpenAI do?

A typical day for someone in an Azure OpenAI role involves designing, deploying, and monitoring AI-driven solutions using Azure and OpenAI services, collaborating closely with data scientists, developers, and business stakeholders. You may spend time optimizing machine learning models, integrating AI features into client applications, and troubleshooting any issues with model performance or Azure infrastructure. Regular meetings and knowledge-sharing sessions are common, as the team works together to stay ahead of new advancements and ensure successful project delivery. This dynamic environment offers both technical and collaborative challenges, making each day varied and engaging for professionals in this role.

What is an Azure OpenAI?

An Azure OpenAI job typically involves working with Microsoft's Azure OpenAI Service to develop, deploy, and optimize AI models based on OpenAI's technology. Professionals in this role may build AI-driven applications, integrate large language models into business workflows, and fine-tune models for specific use cases. They often collaborate with data scientists, engineers, and cloud specialists to ensure efficient and scalable AI solutions. Strong experience with Azure services, machine learning, and programming languages like Python is usually required.

What are popular job titles related to Azure Openai jobs in Virginia?

For Azure Openai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Azure Openai jobs in Virginia look for?

The top searched job categories for Azure Openai jobs in Virginia are:

Azure Openai jobs near you
Infographic showing various Azure Openai job openings in Virginia as of August 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution.

Senior AI/ML & Data Engineer

Accenture Federal Services

Chantilly, VA • On-site

$108K - $147K/yr

Full-time

Re-posted 12 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 491 rated business services

Job description

Job Description:

We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership-capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful.

The work you'll do:

  • AI/ML Engineering:
    • Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.
    • Build data preprocessing, training, fine tuning, inference, and evaluation workflows.
    • Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).
    • Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.
    • Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.
    • Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
  • Data & Cloud Engineering:
    • Design, build, and maintain scalable automated data pipelines (ETL/ELT) to support both batch and real-time data processing.
    • Architect data lakes and warehouses (e.g., Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.
    • Implement rigorous data quality checks and validation frameworks to ensure "garbage-in, garbage-out" never applies to our models.
  • Delivery & Stakeholder Engagement:
    • Work closely with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.
    • Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.
    • Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.

Here's what you'll need:

  • Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related field.
  • 5+ years of experience in one or more of the following areas:
    • AI/ML engineering, cloud-native development, or data engineering.
    • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
    • Hands on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
    • Experience architecting ML pipelines using AWS, Azure, or GCP.
    • Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).
    • Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).

Bonus points if you have:

  • Experience building RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Milvus).
  • Experience designing agentic workflows and multi agent AI systems.
  • Experience with graph databases, knowledge graphs, or semantic search.
  • Certifications such as AWS Architect, AWS ML Specialty, Azure AI Engineer, Security+.
  • Ability to translate complex technical concepts for non-technical audiences.
  • Strong problem-solving abilities with a product focused mindset.
  • Strong communication and client facing consulting skills.
  • Ability to work across cross-functional teams in a fast-paced environment.
  • Understanding of security frameworks (FedRAMP, NIST 800 53, Zero Trust) for ML systems.

Security clearance:

  • Active Top Secret (TS) security clearance is required; and must be able and willing to upgrade to TS/SCI with Poly.

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