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Generative Ai Solutions Architect Jobs (NOW HIRING)

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

... Learning, and Generative AI. The ideal candidate is an AI-focused architect with hands-on ... Ensure all solutions sit on a solid foundation of established principles, patterns, and security ...

Sphere Partners

Data & AI Solutions Architect

Develop Generative AI solutions utilizing GCP services, across various client teams; * Contribute ... architecture, and applications of a broad range of trending tech stacks, presenting essential ...

PB consulting

Senior AI Solutions Architect

Golf, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

... Learning, and Generative AI. The ideal candidate is an AI-focused architect with hands-on ... Ensure all solutions sit on a solid foundation of established principles, patterns, and security ...

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Generative Ai Solutions Architect information

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How much do generative ai solutions architect jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for generative ai solutions architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What is a generative AI solutions architect?

A Generative AI Solutions Architect is a professional who designs, develops, and implements solutions using generative artificial intelligence technologies, such as large language models and generative adversarial networks. They work with stakeholders to understand business needs, select appropriate AI models, and ensure integration with existing systems. Their role includes overseeing the entire AI solution lifecycle, ensuring scalability, compliance, and ethical use of AI. They also stay up-to-date with advances in generative AI to recommend the best tools and practices for their organization.

What are the key skills and qualifications needed to thrive as a generative AI solutions architect?

To thrive as a Generative AI Solutions Architect, you need expertise in machine learning, deep learning, and AI model development, typically backed by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, cloud platforms (such as AWS, Google Cloud, or Azure), and relevant certifications (e.g., AWS Certified Machine Learning) is highly valuable. Strong problem-solving, communication, and project management skills help you translate complex AI concepts into actionable business solutions and collaborate effectively with stakeholders. These skills are vital to successfully designing, implementing, and scaling generative AI systems that meet organizational goals.

What are some common challenges faced by generative AI solutions architects when integrating AI models into existing business systems?

Generative AI Solutions Architects often encounter challenges related to aligning advanced AI models with legacy systems, ensuring data privacy and security, and managing stakeholder expectations. Integration may require custom API development, thorough testing, and close collaboration with IT and data engineering teams. Successfully navigating these complexities typically involves a combination of strong technical expertise, clear communication with non-technical stakeholders, and continuous learning to stay abreast of rapidly evolving AI technologies.

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Infographic showing various Generative Ai Solutions Architect job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

GenAI/ML Engineer | Generative AI (GenAI) Solutions Architect

Columbia, SC • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

$58.25 - $76.75/hr

Full-time

Re-posted 23 hours ago

Job description

Job Summary:
MDAEdge is seeking an experienced Generative AI Solutions Architect to lead the design and implementation of cutting-edge GenAI solutions. The role involves defining the architecture, leading development efforts, and ensuring scalable, ethical deployment of AI systems.
Responsibilities:
• Define end-to-end GenAI architecture, including model selection, fine-tuning, retrieval-augmented generation (RAG), vector databases, and prompt engineering pipelines.
• Design and deploy scalable software applications to support Generative AI initiatives.
• Build Minimum Viable Products (MVPs) for rapid iteration in dynamic environments.
• Hands-on model deployment from development to production, with troubleshooting and optimization.
• Collaborate with Data Scientists, MLOps, and Cloud Architects to ensure robust, compliant AI systems.
• Lead a small squad of engineers, providing technical guidance and fostering a high-performance culture.
• Mentor engineers of all levels and drive best practices in AI/ML development.
• Partner with Product, Legal, and Leadership to align AI solutions with ethical, regulatory, and business goals.
• Proactively resolve complex technical challenges across the AI/ML stack.
• Translate technical concepts for executives, engineers, and cross-functional teams.
Qualifications:
Required:
• Proven experience in GenAI architecture (RAG, vector stores, prompt engineering).
• Hands-on ML engineering skills: model training, deployment, and production troubleshooting.
• Expertise in Python and modern software development practices.
• Track record of delivering MVPs and scalable AI solutions.
• Strong leadership: ability to mentor engineers and lead technical teams.
Preferred:
• Familiarity with LLM fine-tuning (e.g., GPT, Llama, Claude).
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps tools.
• Knowledge of AI ethics, compliance, and governance.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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