1

Ai Support Jobs in Virginia (NOW HIRING)

AI ML Engineer/Developer

VA ยท On-site

$325K/yr

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...

The AI Delivery and Support Specialist owns the full lifecycle of Ntiva's AI solutions for clients, starting with our Claude for Microsoft 365 offering. On the delivery side, you'll scope and run new ...

The AI Delivery and Support Specialist owns the full lifecycle of Ntiva's AI solutions for clients, starting with our Claude for Microsoft 365 offering. On the delivery side, you'll scope and run new ...

next page

Showing results 1-20

Ai Support information

What is an AI Support?

An AI Support job involves assisting users or businesses in utilizing artificial intelligence tools effectively. Responsibilities may include troubleshooting AI-related issues, providing guidance on AI functionalities, and optimizing AI solutions for specific needs. AI Support professionals may work with chatbots, machine learning systems, or automation tools to enhance user experience and operational efficiency. Strong problem-solving skills and technical knowledge are typically required for this role.

What are the key skills and qualifications needed to thrive in the AI Support position, and why are they important?

To thrive as an AI Support professional, you need a solid understanding of artificial intelligence and machine learning concepts, technical troubleshooting skills, and typically a background in computer science or information technology. Familiarity with tools like ticketing systems (e.g., Zendesk or Jira), cloud platforms, and AI frameworks such as TensorFlow or PyTorch is often required. Excellent problem-solving abilities, patience, and strong communication skills help distinguish top performers in this field. These competencies are critical for effectively assisting users, resolving complex AI-related issues, and ensuring smooth operation of AI-powered systems.

What are some common challenges AI Support professionals face on the job?

AI Support professionals often encounter issues such as diagnosing complex technical problems, keeping up with rapidly evolving AI technologies, and translating highly technical solutions into understandable guidance for non-technical users. Working in AI support may involve collaborating closely with software engineers, data scientists, and end-users to ensure systems run smoothly and efficiently. Additionally, professionals in this field must be adept at handling high volumes of support requests and managing competing priorities. These challenges underscore the importance of continuous learning and clear communication in providing exceptional support. Overcoming these hurdles offers valuable experience and can open doors to advanced roles within AI and IT support teams.

What are the most commonly searched types of Ai Support jobs in Virginia?

The most popular types of Ai Support jobs in Virginia are:

What cities in Virginia are hiring for Ai Support jobs?

Cities in Virginia with the most Ai Support job openings:

Infographic showing various Ai Support job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Support - Full stack Engineer - Richmond, VA (Onsite - Hybrid) - Visa Independednt candidates

Saksoft

Richmond, VA โ€ข On-site

Other

Posted 9 days ago


Job description

Job Title : AI Support - Full Stack Engineer

Location : Richmond, VA (Onsite โ€“ Hybrid)

Contract: 3 months CTH

Job Description

Role Summary 

We are looking for Full stack engineer and AI support engineer who Lead L2L3 application support and engineering activities Act as the primary customer facing technical lead responsible for incident management release coordination stakeholder communication RCA leadership application stability and continuous improvement initiatives Own technical governance while collaborating with offshore teams to ensure 24x7 operational support

Mandatory Skills

ยท       Full Stack Development

ยท       Java

ยท       Spring Boot Microservices

ยท       REST API design and troubleshooting

ยท       Redis

ยท       Distributed application architecture

ยท       API integrations and orchestration patterns

ยท       Cloud Platform

ยท       Google Cloud Platform Google Cloud Platform

ยท       GKE Google Kubernetes Engine

ยท       Kubernetes concepts and troubleshooting

ยท       PubSub

ยท       Cloud Monitoring Logging

ยท       Apigee API Gateway

ยท       Alloy DB

ยท       Scheduler and Workflow concepts

ยท       AI Application Support

ยท       AIenabled application support

ยท       Google ADK Agents

ยท       Gemini API integrations

ยท       RAGbased application architectures

ยท       AI service consumption and troubleshooting

ยท       Prompt execution flow understanding

ยท       AMS Production Support

ยท       L2L3 Support

ยท       Incident Management

ยท       Problem Management

ยท       Root Cause Analysis RCA

ยท       Release Management

ยท       Change Management

ยท       Service Request Fulfilment

ยท       SLA Management

ยท       Production Support

ยท       Leadership

ยท       Customerfacing leadership

ยท       Technical governance

ยท       KT management

ยท       Offshore coordination

ยท       Executive communication

ยท       Risk and escalation management

ยท       Good to Have Skills

ยท       Dataflow

ยท       Healthcare Life Sciences domain experience

ยท       DevOps CICD tools

ยท       AIled operations tools and automation

Key Responsibilities

ยท