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Generative Ai Developer Jobs in Springfield, VA (NOW HIRING)

Cognizant

Gen AI Developer/Lead

Washington, DC · On-site

$158K - $194K/yr

Generative AI & Agentic Solutions * Design and implement enterprise-grade Generative AI solutions ... Data Engineering & MLOps * Design and implement scalable data pipelines and feature engineering ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

The role will focus on developing intelligent workflows, implementing generative AI capabilities ... Implement prompt engineering strategies and retrieval-augmented generation (RAG) patterns. * Train ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Springfield, VA

Generative Ai Developer information

See Springfield, VA salary details

$19

$47

$105

How much do generative ai developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for generative ai developer in Springfield, VA is $47.30, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $57.26 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Springfield, VA?

For Generative Ai Developer jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Springfield, VA look for?

The top searched job categories for Generative Ai Developer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Generative Ai Developer jobs?

Cities near Springfield, VA with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $98,394 per year, or $47.3 per hour.

Conversational AI/ Chatbot Developer

Adelphi, MD • On-site, Remote

Diverse Agile Solutions
See more jobs at Diverse Agile Solutionsexternal

$85K - $90K/yr

Full-time

Posted 10 days ago

Job description

Conversational AI / Chatbot Developer

Diverse Agile Solutions, LLC (DAS) is seeking an experienced Conversational AI / Chatbot Developer to support an enterprise client and help design, develop, integrate, and optimize next-generation conversational AI experiences.

This is an exciting opportunity for a developer who enjoys working at the intersection of traditional conversational AI, Generative AI, and autonomous AI agents. The ideal candidate will have strong Microsoft Azure conversational technology experience and be comfortable integrating AI solutions with enterprise platforms such as Salesforce and PeopleSoft.

What You'll Do
  • Design, develop, test, deploy, and maintain enterprise chatbots, virtual assistants, and AI agents.
  • Develop and maintain conversational applications using Azure Bot Framework SDK v4.
  • Build conversational workflows using Waterfall Dialogs, custom middleware, and state management.
  • Help modernize existing chatbot capabilities using Azure AI Foundry, Microsoft Copilot Studio, and Microsoft Agents 365 / Microsoft 365 Agents SDK technologies.
  • Integrate conversational applications with enterprise systems using MuleSoft, REST APIs, Salesforce, and PeopleSoft.
  • Develop Salesforce Live Chat and Case Management integrations for human-agent escalation and automated case routing.
  • Build rich conversational experiences using Adaptive Cards across web, mobile, and messaging channels.
  • Integrate Azure Conversational Language Understanding (CLU) with Azure OpenAI/GPT to support intent recognition, routing, fallback handling, and contextual responses.
  • Develop and optimize RAG and LLM-based solutions.
  • Monitor conversation logs, intent accuracy, containment rates, and other performance metrics to continuously improve the user experience.
  • Use tools such as Azure Application Insights and Power BI to analyze conversational performance.
  • Work with Product Managers, UX Designers, developers, and business stakeholders to translate business requirements into effective conversational experiences.
  • Participate in Agile development, testing, code reviews, and CI/CD activities.
Required Qualifications
  • 3+ years of software development experience with a focus on Conversational AI, NLP/NLU, chatbots, or LLM/AI agent development.
  • Hands-on experience with Azure Bot Framework SDK v4.
  • Experience with Waterfall Dialogs, custom middleware, and conversation state management.
  • Strong programming experience with C# and .NET.
  • Experience with JavaScript, HTML, and CSS.
  • Experience with Azure OpenAI and/or Generative AI technologies.
  • Experience with Azure CLU or other NLU technologies.
  • Experience integrating enterprise applications through REST APIs and/or MuleSoft.
  • Experience with Salesforce and/or PeopleSoft integrations.
  • Strong understanding of conversational design, APIs, enterprise integration, and cloud-based application development.
  • Excellent communication skills and ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Azure AI Foundry.
  • Experience with Microsoft Copilot Studio.
  • Experience with Microsoft Agents 365 / Microsoft 365 Agents SDK.
  • Experience developing Adaptive Cards.
  • Salesforce Live Chat and Case Management integration experience.
  • Experience with Azure Cosmos DB for conversation state and user context.
  • Experience with Azure Application Insights and Power BI.
  • Experience developing RAG/LLM orchestration solutions.
  • Experience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
  • Experience working in higher education or other complex enterprise environments.
  • Experience with agentic AI and autonomous AI architectures.
Why Join DAS?

At Diverse Agile Solutions, you'll work on challenging technology initiatives involving Artificial Intelligence, Cloud, DevSecOps, Cybersecurity, Agile Transformation, and Enterprise IT modernization.

We are a growing technology services company that values technical excellence, collaboration, accountability, and professional growth.

Position Details

Position: Conversational AI / Chatbot Developer
Company: Diverse Agile Solutions, LLC
Employment Type: Contract
Work Arrangement: [Remote potential depending on candidate]
Location: Adelphi, MD
Duration: Initially 6 month with possible extension
Compensation: $85,000 - $90,000

How to Apply

If you're an experienced Conversational AI developer who is excited about combining Azure, Generative AI, enterprise integrations, and next-generation AI agents, we'd like to hear from you.


Employment Type: FULL_TIME

Apply