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Game Ai Jobs in Decatur, GA (NOW HIRING)

We're game changers. And we play to win. We set the highest standards and execute beyond them. And ... NICE is assembling a core engineering team to build the internal AI platform that powers ...

Team Lead, AI Engineering

Atlanta, GA · On-site

$98K - $129K/yr

We're game changers. And we play to win. We set the highest standards and execute beyond them. And ... Team Lead, AI Engineering So, what's the role all about? NICE is assembling a core engineering team ...

THE GAME PLAN Everyone on our team has a part to play * Define the AI security roadmap: Own the multi-year AI and agentic security roadmap for FanDuel-the vision, strategy, and standards-developed ...

Team Lead, AI Engineering

Atlanta, GA · On-site

$98K - $129K/yr

We're game changers. And we play to win. We set the highest standards and execute beyond them. And ... As Team Lead, AI Engineering in the Orchestration AI Development team, you will lead a hands-on ...

THE GAME PLAN Everyone on our team has a part to play * Define the AI security roadmap: Own the multi-year AI and agentic security roadmap for FanDuel-the vision, strategy, and standards-developed ...

THE GAME PLAN Everyone on our team has a part to play * Define the AI security roadmap: Own the multi-year AI and agentic security roadmap for FanDuel-the vision, strategy, and standards-developed ...

... music, games, and live sports to more places around the world across a wider range of consumer ... Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ...

... music, games, and live sports to more places around the world across a wider range of consumer ... Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ...

... music, games, and live sports to more places around the world across a wider range of consumer ... Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ...

... Games, and Direct-to-Consumer platforms. This role is designed for a hands-on expert in applied ... Generative AI & LLM Applications * Design and implement Generative AI solutions leveraging large ...

Deposco is seeking an experienced AI Evaluation Engineer to join our innovative quality assurance ... This team believes that what we are doing is a game-changer in the industry * Coffee bar with cold ...

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Game Ai information

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How much do game ai jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for game ai in Decatur, GA is $20.45, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $23.22 per hour, depending on experience, location, and employer.

What is game AI?

Game AI, or Game Artificial Intelligence, refers to the techniques and systems used to create responsive, adaptive, and intelligent behaviors in non-player characters (NPCs) within video games. It involves programming NPCs to make decisions, follow strategies, and interact with players in realistic ways. Game AI can include pathfinding, enemy tactics, environmental awareness, and even dialogue systems, all aimed at enhancing the player's experience. Developers use various algorithms, including finite state machines and machine learning, to implement these behaviors.

What skills and qualifications are needed to thrive as a game AI developer?

To thrive as a Game AI Developer, you need strong programming skills (especially in C++ or Python), a background in computer science or related fields, and a solid understanding of algorithms and data structures. Familiarity with game engines like Unity or Unreal Engine, as well as experience with AI frameworks and pathfinding systems, is crucial. Creativity, problem-solving ability, and effective teamwork are valuable soft skills for designing engaging and believable AI behaviors. These skills ensure the creation of compelling, immersive gameplay experiences that challenge and entertain players.

What are common challenges faced by game AI developers when collaborating with game designers and artists?

Game AI developers often encounter challenges in balancing technical feasibility with creative vision. They must translate designers’ ideas for character behavior into algorithms that feel natural within the game’s constraints, while also ensuring their code integrates smoothly with art assets and animations. Communication is key, as AI developers frequently participate in cross-disciplinary meetings to align on gameplay mechanics and troubleshoot issues that arise during implementation. Successfully navigating these challenges requires flexibility, problem-solving skills, and a collaborative mindset.

What is the difference between Game Ai vs Game Programmer?

AspectGame AiGame Programmer
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of AI algorithmsBachelor's in Computer Science or Software Engineering; programming skills
Work EnvironmentGame development teams, focusing on AI systems and behaviorsGame development teams, focusing on coding, systems, and gameplay mechanics
Industry UsageDesigning intelligent behaviors for NPCs and game systemsImplementing game features, mechanics, and systems through coding

Game Ai specialists focus on creating intelligent behaviors for non-player characters and game systems, utilizing AI algorithms. Game Programmers handle the coding and implementation of game features and mechanics. While both roles work closely in game development, Game Ai emphasizes AI techniques, whereas Game Programmers focus on software development and coding.

How to become a game AI programmer?

To become a game AI programmer, you typically need a strong foundation in computer science, programming languages such as C++ or Python, and knowledge of algorithms and data structures. Experience with game development tools, understanding of AI techniques like pathfinding and decision trees, and a portfolio of relevant projects can improve job prospects. Formal education such as a bachelor's degree in computer science or related fields is often preferred by employers.

What are popular job titles related to Game Ai jobs in Decatur, GA?

For Game Ai jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Game Ai jobs in Decatur, GA look for?

The top searched job categories for Game Ai jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Game Ai jobs?

Cities near Decatur, GA with the most Game Ai job openings:

Infographic showing various Game Ai job openings in Decatur, GA as of August 2026, with employment types broken down into 60% Full Time, 33% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,530 per year, or $20.4 per hour.

Senior Advanced Product Engineer

Alpharetta, GA • On-site

Scientific Games
IT Services • 5 - 10K employees

Full-time

Re-posted 2 days ago


Scientific Games rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz


Job description

Scientific Games:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Scientific Games is hiring two Senior Product Engineers to join a small, high-impact team focused on strategic product initiatives and new business opportunities.
This role is ideal for experienced builders who can flex across product and engineering from zero-to-one development to enhancing complex, legacy systems. You'll be expected to deliver high-quality software quickly, make sound technical decisions, and leave systems better than you found them.
The team operates like a fast-moving product engineering pod, leveraging AI to accelerate development while maintaining long-term quality through clear specs, strong testing, and production-safe releases.
Successful candidates are product-minded, pragmatic, and technically strong. They focus on building the right solutions, earn trust through outcomes, and deliver work that is scalable, maintainable, and impactful.
What You Will Do
  • Build new products, prototypes, integrations, and production capabilities tied to strategic business opportunities.
  • Work inside existing legacy codebases while improving testability, interfaces, observability, automation, and maintainability.
  • Use AI coding tools and agentic workflows to accelerate code generation, test creation, documentation, refactoring, migration work, debugging, and review.
  • Turn ambiguous product intent into clear specs, acceptance criteria, interface contracts, examples, test plans, and release criteria.
  • Practice disciplined automated testing, including TDD, ATDD, unit tests, integration tests, contract tests, regression tests, and production validation where appropriate.
  • Create fast feedback loops through CI/CD, feature flags, preview environments, observability, deployment automation, and production-safe release patterns.
  • Partner with product, architecture, QA, DevOps, security, operations, and domain experts to make practical tradeoffs and get work into use.
  • Reduce cycle time by removing ambiguity, waiting, brittle test paths, slow reviews, unclear ownership, and avoidable rework.
  • Help define how this team works: engineering standards, technical decisions, AI-assisted development patterns, test strategy, and production readiness.
  • Share useful patterns with other engineering teams so the work improves more than one product or codebase.

Qualifications
What Success Looks Like
  • Turn ambiguous product or technical problems into clear, working solutions aligned to business outcomes
  • Move quickly without overengineering-making progress while improving code quality, tests, and system reliability
  • Work effectively in legacy systems, leaving codebases cleaner, safer, and easier to build on
  • Use AI tools to accelerate validated delivery, structuring work for fast feedback and strong testing
  • Stay focused on product impact-understanding users, workflows, and measurable results
  • Earn trust across the business for solving real problems and within engineering for high-quality, maintainable work

Experience That Fits
  • 10+ years of Software Engineering experience
  • Experience building production software across the full lifecycle: product framing, design, implementation, testing, release, operations, and iteration.
  • Experience working in large or legacy codebases while improving architecture, testability, observability, and delivery speed.
  • Hands-on fluency with modern AI-assisted development tools, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, refactoring, migration support, and debugging.
  • Strong automated testing discipline, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, and production validation.
  • Experience building fast feedback loops with CI/CD, automated test suites, feature flags, preview environments, observability, deployment automation, and progressive release practices.
  • Strong engineering judgment across software design, APIs, integration patterns, data flows, reliability, security, and production readiness.
  • Ability to work directly with product leaders, business stakeholders, domain experts, QA, DevOps, architecture, security, and operations teams.
  • Clear written and verbal communication; able to turn ambiguity into an implementation path others can understand.

Especially Useful Backgrounds
  • Product engineering in a startup, growth-stage company, incubation team, platform team, or strategic product pod.
  • Experience bringing modern development practices into older systems without stopping delivery.
  • Regulated, high-reliability, transactional, gaming, lottery, payments, or customer-facing platform environments.
  • Cloud-native development, platform engineering, infrastructure as code, APIs, event-driven systems, distributed systems, or integration-heavy architectures.
  • Experience helping other engineers adopt better AI-assisted development, testing, release, or observability practices.

Work Conditions
Scientific Games, LLC and its affiliates (collectively, "SG") are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Education
Masters degree preferred.
Years of Related Experience
10+ Years
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you'd like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

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