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Generative Ai Developer Jobs in Maple Grove, MN (NOW HIRING)

Prophecy Technologies

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

... Generative AI and Agentic AI solutions. The architect will be responsible for building scalable ... Define prompt engineering, fine-tuning, and model evaluation strategies. * Architect AI solutions ...

Xcel Energy

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform ...

Xcel Energy

Senior AI Engineer

Minneapolis, MN

$57.75 - $74.25/hr

This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform ...

Talent Groups

AI ML Engineer

Minneapolis, MN · On-site

Minneapolis, MN (Onsite) Duration: 6 months to start Job Summary We are looking for an AI/ML Engineer with 6+ years of experience in developing Machine Learning and Generative AI solutions. The ...

New

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Define the right AI approach across machine learning and Generative AI initiatives * Establish ... Work closely with business, engineering, and data teams to deliver practical AI solutions * Provide ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... Design and deploy generative AI and NLP solutions using transformer-based architectures for ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... Design and deploy generative AI and NLP solutions using transformer-based architectures for ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and ... optimization 7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins ...

Doosan

AI Engineer

Minneapolis, MN · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

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Generative Ai Developer information

See Maple Grove, MN salary details

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$46

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How much do generative ai developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for generative ai developer in Maple Grove, MN is $46.37, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $56.11 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What job categories do people searching Generative Ai Developer jobs in Maple Grove, MN look for? The top searched job categories for Generative Ai Developer jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Generative Ai Developer jobs? Cities near Maple Grove, MN with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Maple Grove, MN as of July 2026, with employment types broken down into 71% Full Time, 24% Part Time, and 5% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $96,455 per year, or $46.4 per hour.
Generative AI Architect

Generative AI Architect

Prophecy Technologies

Minneapolis, MN • On-site

$65.75 - $86.75/hr

Full-time

Posted 5 days ago

Job description

Role Overview:
This role focuses on defining enterprise AI architecture and target-state roadmaps, with a strong emphasis on designing and implementing Generative AI and Agentic AI solutions. The architect will be responsible for building scalable, secure, and high-performing AI solutions on leading cloud platforms, establishing governance, and providing technical leadership to development and AI engineering teams.
Key Responsibilities:
  • Define enterprise AI architecture and target-state roadmap.
  • Design scalable, secure, and high-performing AI solutions.
  • Evaluate and recommend AI platforms, frameworks, and tools.
  • Establish AI governance, security, compliance, and responsible AI practices.
  • Design and implement GenAI solutions using LLMs.
  • Build RAG (Retrieval-Augmented Generation) architectures.
  • Design AI Agents and multi-agent orchestration frameworks.
  • Define prompt engineering, fine-tuning, and model evaluation strategies.
  • Architect AI solutions on Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms.
  • Design integrations between enterprise applications and AI services.
  • Establish MLOps and LLMOps frameworks for deployment and monitoring.
  • Lead architecture reviews and solution design workshops.
  • Mentor development and AI engineering teams.
  • Support client discussions, PoCs, and solution proposals.

Required Skills:
  • Expertise as an AI Developer (Architect).
  • Proficiency in Digital Artificial Intelligence (AI).

Qualifications:
  • 4-6 years of experience.

Preferred Skills:
  • None specified.

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