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Generative Ai Associate Jobs in Washington (NOW HIRING)

Bart and Associates, Inc

AI-ML Developer

Ashburn, VA · On-site

Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large language models (LLMs). * Design and implement innovative AI solutions to address complex business ...

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

... generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and ... High School Diploma + 6 years of experience, Associates Degree + 4 years of experience, Bachelors ...

GEICO

Staff Engineer - Applied AI

Bethesda, MD · On-site

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role ...

Geico

Staff Engineer - Applied AI

Bethesda, MD

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

As an Associate Director, you will combine deep technical expertise with executive presence ... You will define the long-term vision for integrating Generative AI, Large Language Models (LLMs ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for generative ai associate in Washington is $19.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $20.96 per hour, depending on experience, location, and employer.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.
What are the most commonly searched types of Generative Ai jobs in Washington? The most popular types of Generative Ai jobs in Washington are:
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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,043 per year, or $19.7 per hour.

Sr. AI Engineer I (Salesforce) (6637)

MetroStar

Washington, DC • On-site

$141K - $173K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
MetroStar is a company focused on delivering innovative technology services, and they are seeking a Sr. AI Engineer I (Salesforce) to support a Salesforce-centered modernization and digital transformation program. The role involves designing, developing, and deploying AI-driven Salesforce applications and intelligent workflows to enhance mission outcomes through automation and predictive insights.
Responsibilities:
• Design, develop, and deploy AI-driven Salesforce applications that improve mission effectiveness, operational efficiency, and user productivity.
• Build and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, Platform Events, APIs, and declarative platform capabilities.
• Design, configure, and deploy Salesforce Agentforce agents that automate business processes, support decision-making, and enhance user experiences.
• Develop autonomous and semi-autonomous agents capable of performing business functions, orchestrating workflows, retrieving knowledge, generating recommendations, and supporting mission execution.
• Implement AI-driven workflow automation leveraging Agentforce, Prompt Builder, Einstein AI, Data Cloud, and emerging Salesforce AI capabilities.
• Configure prompts, agent actions, grounding strategies, knowledge integrations, retrieval mechanisms, and orchestration workflows to deliver secure and effective AI solutions.
• Design and implement human-in-the-loop AI experiences that balance automation with governance, transparency, accountability, and mission oversight.
• Build AI-native user experiences that integrate conversational interfaces, intelligent recommendations, workflow automation, and decision-support capabilities directly into Salesforce applications.
• Develop integrations between Salesforce, Agentforce agents, enterprise systems, data platforms, and external AI services to support intelligent workflow orchestration.
• Design scalable architectures that combine structured data, unstructured content, enterprise knowledge sources, and AI reasoning capabilities.
• Develop reports, dashboards, analytics, and AI-driven insights leveraging CRM Analytics, Data Cloud, and enterprise data sources.
• Collaborate closely with Product Managers, Architects, UX Designers, Scrum Masters, and DevSecOps Engineers to deliver AI-enabled solutions aligned to business objectives.
• Leverage AI-assisted development tools and emerging technologies to accelerate software delivery, improve code quality, automate testing, and increase developer productivity.
• Ensure solutions align with security, governance, responsible AI principles, compliance requirements, and federal standards.
• Support Agile development activities including sprint planning, backlog refinement, code reviews, testing, demonstrations, and continuous delivery.
• Troubleshoot, optimize, and continuously improve Salesforce applications, AI agents, automations, integrations, and intelligent workflows.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• Active Secret clearance
• Must be local to the DMV area with the ability to support onsite requirements in Washington, DC.
• Salesforce Platform Developer I Certification and Salesforce AI Associate Certification.
• 5+ years of experience developing Salesforce applications in enterprise environments, with strong hands-on expertise in Apex, Lightning Web Components (LWC), Salesforce Flows, Platform Events, APIs, and platform customization.
• Demonstrated hands-on experience implementing Salesforce Agentforce solutions, including Einstein AI, Prompt Builder, and Data Cloud in enterprise environments.
• Experience developing AI-powered solutions such as agentic workflows, intelligent automation, autonomous agents, and business process optimization using generative AI, LLMs, RAG, and enterprise knowledge integration.
• Experience integrating Salesforce with external systems using APIs, middleware, event-driven architectures, and cloud-native patterns, supporting enterprise modernization and cloud-based delivery initiatives.
• Strong understanding of Salesforce security, governance, and compliance, along with responsible AI principles, and experience working in Agile development and continuous delivery environments.
Company:
MetroStar is a leading provider of secure digital transformation and Artificial Intelligence (AI)-enabled products and solutions, specializing in delivering cutting-edge IT services to government agencies and defense organizations. Founded in 1999, the company is headquartered in Reston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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