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Unreal Engine Ai Programmer Jobs in Minnesota (NOW HIRING)

Shipt, Inc.

Senior Product Manager

Minneapolis, MN · On-site

... Engineering, prioritizing Core Web Vitals, site architecture, crawlability, and rendering strategies that meet best-in-class SEO and AEO standards for both traditional crawlers and AI-powered search ...

Shipt

Senior Product Manager

Minneapolis, MN

... Engineering, prioritizing Core Web Vitals, site architecture, crawlability, and rendering strategies that meet best-in-class SEO and AEO standards for both traditional crawlers and AI-powered search ...

Harris

$80K - $90K/yr

... Engine Technology: Experience with search and indexing technologies such as Elasticsearch ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

Optimizely

Senior Staff Software Engineer

Minneapolis, MN

$127K - $168K/yr

AI-Ready. Set. Go. 10,000+ brands including H&M, PayPal, and Zoom already get it. So do Gartner ... Own and evolve the architecture of Optimizely Analytics' query compilation engine and NetScript DSL ...

Shipt, Inc.

Senior Product Manager

Minneapolis, MN · On-site

$100 - $130/hr

... Engineering, prioritizing Core Web Vitals, site architecture, crawlability, and rendering ... Improve conversion from paid, SEO, and AI traffic while reducing funnel drop‑off and unlocking ...

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Unreal Engine Ai Programmer information

What are the key skills and qualifications needed to thrive as an Unreal Engine AI programmer?

To thrive as an Unreal Engine AI Programmer, you need strong programming skills in C++, a solid understanding of artificial intelligence concepts, and experience with Unreal Engine’s Blueprint and AI systems. Familiarity with tools like Unreal Engine’s Behavior Trees, Blackboard, and navigation systems, as well as experience with version control systems, is often required. Problem-solving, creativity, and effective communication are important soft skills for collaborating with designers and other developers. These skills ensure the creation of intelligent, responsive game characters and systems, which are crucial for engaging gameplay and a seamless player experience.

What is the difference between Unreal Engine Ai Programmer vs Game Developer?

AspectUnreal Engine Ai ProgrammerGame Developer
Required SkillsAI algorithms, Unreal Engine, C++Game design, programming, Unreal Engine, C++/C#
Work EnvironmentGame studios, tech companies using Unreal EngineGame studios, independent developers, tech companies
Industry UsageFocus on AI systems within Unreal Engine projectsBroader game development including gameplay, UI, and systems

The Unreal Engine Ai Programmer specializes in developing AI systems within Unreal Engine, focusing on behavior trees, navigation, and AI logic. In contrast, a Game Developer has a broader role, handling various aspects of game creation such as gameplay mechanics, UI, and overall project development. While both roles require knowledge of Unreal Engine and C++, the AI Programmer concentrates on AI-specific features, whereas the Game Developer covers a wider range of development tasks.

How does an Unreal Engine AI programmer typically collaborate with game designers and artists during development?

As an Unreal Engine AI Programmer, you’ll work closely with game designers to understand gameplay requirements and translate them into technical AI systems, such as enemy behaviors or NPC pathfinding. Collaboration with artists is also common, especially when integrating AI-controlled characters and ensuring their animations and visual feedback align with the game’s vision. Regular meetings and cross-disciplinary communication are essential, allowing you to iterate on features and quickly address changes or challenges. This collaborative environment fosters creative solutions and ensures that AI features enhance the overall player experience.

What is an Unreal Engine AI programmer?

An Unreal Engine AI Programmer is a software developer who specializes in creating and implementing artificial intelligence (AI) systems within the Unreal Engine, a popular game development platform. Their responsibilities include designing behaviors for non-player characters (NPCs), developing navigation and decision-making systems, and optimizing AI performance for games or simulations. They work closely with designers and artists to ensure AI behaves realistically and enhances the player's experience. Proficiency in C++ and familiarity with Unreal Engine's Blueprint visual scripting are typically required for this role.

What are popular job titles related to Unreal Engine Ai Programmer jobs in Minnesota?

For Unreal Engine Ai Programmer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Unreal Engine Ai Programmer jobs in Minnesota look for?

The top searched job categories for Unreal Engine Ai Programmer jobs in Minnesota are:

What cities in Minnesota are hiring for Unreal Engine Ai Programmer jobs?

Cities in Minnesota with the most Unreal Engine Ai Programmer job openings:

Unreal Engine Ai Programmer jobs near you
Infographic showing various Unreal Engine Ai Programmer job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

Forward Deployed Engineer- ServiceNow

Deloitte

Minneapolis, MN

Full-time

Posted 7 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a ServiceNow FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • 4+ years of relevant ServiceNow IT consulting or industry experience
  • 3+ years of experience in large technology engagements
  • 2 full life cycle ServiceNow implementations
  • Team lead experience
  • Certified Application Developer (CAD)
  • Familiarity with ServiceNow GenAI capabilities such as Now Assist and AI Agents
  • Hands-on ServiceNow development experience across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Custom scripting experience across Business Rules, Script Includes, UI Actions, Client Scripts, and Scheduled Jobs, with attention to performance optimization
  • Hands-on experience using Claude Code as a development accelerator, driving its agentic loop to plan, implement, test, and refactor ServiceNow code
  • Familiarity with authoring CLAUDE.md project memory files and using Claude Code MCP integrations (e.g., GitHub, Jira) within IDE and terminal workflows

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations
  • ServiceNow certification in one or more areas (e.g., Certified System Administrator or Certified Implementation Specialist)
  • An advanced degree in the area of specialization
  • Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to-Pay (S2P)
  • Experience with GBS on Now, Now Assist, and Creator Workflow

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a ServiceNow FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • 4+ years of relevant ServiceNow IT consulting or industry experience
  • 3+ years of experience in large technology engagements
  • 2 full life cycle ServiceNow implementations
  • Team lead experience
  • Certified Application Developer (CAD)
  • Familiarity with ServiceNow GenAI capabilities such as Now Assist and AI Agents
  • Hands-on ServiceNow development experience across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Custom scripting experience across Business Rules, Script Includes, UI Actions, Client Scripts, and Scheduled Jobs, with attention to performance optimization
  • Hands-on experience using Claude Code as a development accelerator, driving its agentic loop to plan, implement, test, and refactor ServiceNow code
  • Familiarity with authoring CLAUDE.md project memory files and using Claude Code MCP integrations (e.g., GitHub, Jira) within IDE and terminal workflows

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations
  • ServiceNow certification in one or more areas (e.g., Certified System Administrator or Certified Implementation Specialist)
  • An advanced degree in the area of specialization
  • Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to-Pay (S2P)
  • Experience with GBS on Now, Now Assist, and Creator Workflow

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance

Education:Bachelor's DegreeEmployment Type:

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