ZipRecruiter

Log In

AGS
AGS

23 Ags Account Manager Jobs Hiring Near You

AGS

Forward Deployed AI Engineer

Duluth, GA · On-site

Build and deploy the AGS One / RevMax sales copilot - AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle

AGS Inc.

Construction Manager

San Francisco, CA · On-site

$187K - $218K/yr

CONSTRUCTION MANAGER/RESIDENT ENGINEER AGS is currently seeking a Construction Manager. Candidate ... Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ...

AGS Inc.

Civil Senior Engineer

San Francisco, CA · On-site

$135K - $175K/yr

AGS is looking for Senior Civil Engineer/Project Engineer to be the Project Manager for projects ... Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ...

AGS Inc.

Construction Manager

San Francisco, CA · On-site

$187K - $218K/yr

CONSTRUCTION MANAGER/RESIDENT ENGINEER AGS is currently seeking a Construction Manager. Candidate ... Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ...

AGS - Corporate

Corporate Accountant

Toronto, ON · On-site

$24 - $28/hr

AGS Automotive Systems is a full-service automotive supplier specializing in the manufacture and ... The Corporate Accountant will report to the Accounting Manager. The incumbent is responsible for ...

AGS Inc.

Civil Senior Engineer

San Francisco, CA · On-site

$135K - $175K/yr

AGS is looking for Senior Civil Engineer/Project Engineer to be the Project Manager for projects ... Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ...

AGS LLC

Forward Deployed AI Engineer

Duluth, GA

Build and deploy the AGS One / RevMax sales copilot -- AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle

AGS LLC

Forward Deployed AI Engineer

Atlanta, GA

Build and deploy the AGS One / RevMax sales copilot -- AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle

AGS LLC

Forward Deployed AI Engineer

Atlanta, GA

Build and deploy the AGS One / RevMax sales copilot -- AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle

AGS LLC

Forward Deployed AI Engineer

Duluth, GA · On-site

Build and deploy the AGS One / RevMax sales copilot -- AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle

AGS LLC

TMA Driver

Portland, OR

$18 - $24.50/hr

Traffic Control Manager About AGS Based in Portland, Oregon, Advanced Government Services has ... By applying to this posting you will receive auto-generated emails to the account provided. Please ...

AGS Inc.

Construction Inspector

San Francisco, CA · On-site

$93K - $108K/yr

Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ... AGS and is an important principle of sound business management. AGS is an Equal Opportunity ...

AGS Inc.

Construction Inspector

San Francisco, CA · On-site

$93K - $108K/yr

Flexible Spending Accounts and Dependent Care Spending Accounts (optional) * 401(k) and 401(k) ... AGS and is an important principle of sound business management. AGS is an Equal Opportunity ...

next page

Showing results 1-20

All JobsAgs JobsAgs Account Manager Jobs

AGS Jobs Information

What other companies are hiring for Account Manager jobs?
What are the most popular jobs at Ags?
Infographic showing various Account Manager job openings at Ags in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, and 4% Remote job distribution.
Forward Deployed AI Engineer

Forward Deployed AI Engineer

AGS

Duluth, GA • On-site

Full-time

Posted 4 days ago

Job description


Job Overview
The Forward Deployed AI Engineer is a hands-on builder responsible for designing, building, and deploying agentic AI capabilities and workflows across AGS's business operations and software development processes. This role works at the frontier of what's possible with large language models and multi-agent systems - building the AGS One / RevMax sales copilot, regulatory monitoring agent, AI-assisted QA testing agent, and SDLC automation tools that make up the core of AGS's AI transformation program. Agents are standardized on Azure AI Foundry as the primary runtime so they are reusable, governed, and discoverable across teams rather than one-off builds.
Responsibilities
  • Build and deploy agentic AI capabilities and workflows - multi-step agents that reason, use tools, and take autonomous actions, built with LangGraph and hosted on Azure AI Foundry Agent Service (AGS's standard runtime); use CrewAI, AutoGen, or equivalent frameworks only where a workflow genuinely outgrows Foundry
  • Own AI tooling deployment - Cursor, Factory.AI, GitHub Copilot, Claude Code - integrating AI coding tools into AGS's development workflows and measuring productivity impact
  • Build and deploy the AGS One / RevMax sales copilot - AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle
  • Build and deploy the regulatory monitoring agent - an agent that monitors regulatory feeds, classifies relevant changes, assesses business impact, and routes alerts to the right teams
  • Build AI-assisted QA testing workflows - automated test execution, pre-certification compliance checking, and test report generation for game builds, alongside OmniBet-based porting tools
  • Own AI pipeline orchestration - design and maintain the workflows connecting LLMs, data sources, vector databases, and downstream applications
  • Implement RAG systems - retrieval-augmented generation using Azure AI Search (or equivalent vector store) for agents that need to reason over AGS's proprietary data (game portfolio, performance history, regulatory database) as it is surfaced through Fabric/OneLake
  • Design agentic deployment infrastructure - containerization, API endpoints, versioning, and monitoring for all production AI agents, registered in the Azure AI Foundry / Entra agent registry
  • Build and consume MCP server integrations - connect agents to internal APIs, data sources, and tools via Model Context Protocol servers so capabilities are reusable across agents rather than rebuilt each time
  • Implement evaluation frameworks - measure agent accuracy, reliability, latency, and cost; build dashboards that surface these metrics to the Head of AI
  • Stay current on agentic AI developments - evaluate new LLM capabilities, orchestration frameworks, and deployment patterns; bring relevant advances into AGS's platform

Skills/Requirements
  • 4-8 years of software engineering experience, with the last 1-3 years specifically focused on LLM application development and agentic AI systems
  • Production agentic AI experience - has built and shipped AI agents to production, not just prototype demos; ideally using LangGraph (AGS's primary framework), or LlamaIndex, CrewAI, or AutoGen
  • Strong Python development skills - production-quality Python for agent development, API integration, data processing, and deployment
  • LLM API experience - hands-on experience with Anthropic Claude, OpenAI, or equivalent LLM APIs (via Azure AI Foundry or direct) including function calling, tool use, and structured output
  • RAG system experience - has built retrieval-augmented systems with vector databases (e.g., Azure AI Search, Pinecone, pgvector); understands embedding models, chunking strategies, and retrieval optimization
  • Prompt engineering skills - systematic approach to prompt design, versioning, and evaluation; understands chain-of-thought, few-shot, and structured output prompting
  • API and systems integration - experience integrating with Salesforce, databases, REST APIs, and enterprise systems from within agent workflows
  • Monitoring and observability - experience instrumenting AI applications for production monitoring including latency, cost, and quality metrics
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred
  • Experience with SDLC tooling deployment and CI/CD integration
  • Familiarity with gaming domain - game mechanics, certification processes
  • Experience with responsible AI practices, guardrails, content-safety baselines, and audit logging
  • Familiarity with Microsoft Copilot Studio, Azure AI Foundry agent registry, or similar agent governance/deployment patterns
  • Experience building or consuming Model Context Protocol (MCP) servers

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

Job Description
Job Overview
The Forward Deployed AI Engineer is a hands-on builder responsible for designing, building, and deploying agentic AI capabilities and workflows across AGS's business operations and software development processes. This role works at the frontier of what's possible with large language models and multi-agent systems - building the AGS One / RevMax sales copilot, regulatory monitoring agent, AI-assisted QA testing agent, and SDLC automation tools that make up the core of AGS's AI transformation program. Agents are standardized on Azure AI Foundry as the primary runtime so they are reusable, governed, and discoverable across teams rather than one-off builds.
Responsibilities
  • Build and deploy agentic AI capabilities and workflows - multi-step agents that reason, use tools, and take autonomous actions, built with LangGraph and hosted on Azure AI Foundry Agent Service (AGS's standard runtime); use CrewAI, AutoGen, or equivalent frameworks only where a workflow genuinely outgrows Foundry
  • Own AI tooling deployment - Cursor, Factory.AI, GitHub Copilot, Claude Code - integrating AI coding tools into AGS's development workflows and measuring productivity impact
  • Build and deploy the AGS One / RevMax sales copilot - AI agents that query Salesforce, pull game performance data, generate proposals, and support account managers across the revenue lifecycle
  • Build and deploy the regulatory monitoring agent - an agent that monitors regulatory feeds, classifies relevant changes, assesses business impact, and routes alerts to the right teams
  • Build AI-assisted QA testing workflows - automated test execution, pre-certification compliance checking, and test report generation for game builds, alongside OmniBet-based porting tools
  • Own AI pipeline orchestration - design and maintain the workflows connecting LLMs, data sources, vector databases, and downstream applications
  • Implement RAG systems - retrieval-augmented generation using Azure AI Search (or equivalent vector store) for agents that need to reason over AGS's proprietary data (game portfolio, performance history, regulatory database) as it is surfaced through Fabric/OneLake
  • Design agentic deployment infrastructure - containerization, API endpoints, versioning, and monitoring for all production AI agents, registered in the Azure AI Foundry / Entra agent registry
  • Build and consume MCP server integrations - connect agents to internal APIs, data sources, and tools via Model Context Protocol servers so capabilities are reusable across agents rather than rebuilt each time
  • Implement evaluation frameworks - measure agent accuracy, reliability, latency, and cost; build dashboards that surface these metrics to the Head of AI
  • Stay current on agentic AI developments - evaluate new LLM capabilities, orchestration frameworks, and deployment patterns; bring relevant advances into AGS's platform

Skills/Requirements
  • 4-8 years of software engineering experience, with the last 1-3 years specifically focused on LLM application development and agentic AI systems
  • Production agentic AI experience - has built and shipped AI agents to production, not just prototype demos; ideally using LangGraph (AGS's primary framework), or LlamaIndex, CrewAI, or AutoGen
  • Strong Python development skills - production-quality Python for agent development, API integration, data processing, and deployment
  • LLM API experience - hands-on experience with Anthropic Claude, OpenAI, or equivalent LLM APIs (via Azure AI Foundry or direct) including function calling, tool use, and structured output
  • RAG system experience - has built retrieval-augmented systems with vector databases (e.g., Azure AI Search, Pinecone, pgvector); understands embedding models, chunking strategies, and retrieval optimization
  • Prompt engineering skills - systematic approach to prompt design, versioning, and evaluation; understands chain-of-thought, few-shot, and structured output prompting
  • API and systems integration - experience integrating with Salesforce, databases, REST APIs, and enterprise systems from within agent workflows
  • Monitoring and observability - experience instrumenting AI applications for production monitoring including latency, cost, and quality metrics
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred
  • Experience with SDLC tooling deployment and CI/CD integration
  • Familiarity with gaming domain - game mechanics, certification processes
  • Experience with responsible AI practices, guardrails, content-safety baselines, and audit logging
  • Familiarity with Microsoft Copilot Studio, Azure AI Foundry agent registry, or similar agent governance/deployment patterns
  • Experience building or consuming Model Context Protocol (MCP) servers

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.

Apply