Senior GenAI Solutions Architect

NORTH WIND SYSTEMS LLC • St. Paul, MN

5d • $185,000 - $235,000

About The Position

North Wind is seeking a seasoned, technically strong Senior GenAI Solutions Architect to accelerate Department of Defense customers’ adoption of generative and agentic AI. The role designs and scales secure, cloud-agnostic intelligent and multi-agent architectures across IL2–IL7 environments to support defense missions and digital engineering initiatives, including aerospace engineering workflows such as automated data pipelines and reduced-order modeling of high-fidelity computational fluid dynamics simulations.

The architect leads engagements with defense partners, learns their mission and technical requirements, and translates them into scalable, production-ready solutions. Working across North Wind’s digital engineering and data science ecosystem, the role collaborates with customers, IT staff, infrastructure engineers, and cross-functional teams to deliver mission-aligned outcomes. Solutions may use AWS and Azure generative AI services and advanced deep learning techniques. The architect also leads customer workshops and demonstrations, contributes to DoD GenAI best practices and reference architectures, and keeps current with developments in GenAI, multi-agent systems, and aerospace-focused AI.

Requirements

• Strong foundation in cloud-native architecture, deep learning, and generative AI.
• Hands-on experience designing and deploying secure solutions across IL2–IL7 environments.
• Bachelor’s degree in computer science or a related field, or equivalent experience.
• At least 5 years of experience architecting and deploying cloud-based solutions.
• At least 3 years of hands-on experience with machine learning technologies and frameworks such as TensorFlow, PyTorch, or MLflow.
• Experience working with large datasets and data pipelines.
• Strong understanding of cloud security principles and best practices, especially IL4–IL7 and CMMC 2.
• Excellent communication, presentation, and interpersonal skills.
• Eligibility to work in the United States.

Nice To Haves

• Expertise with AWS and Azure AI services and proficiency developing agentic and multi-agent systems.
• Ability to translate complex mission requirements into scalable, production-ready architectures.
• Master’s degree in computer science or a related field.
• Experience developing and training generative AI models and techniques, such as LLMs or diffusion models.
• Experience with Amazon SageMaker Studio and other AWS machine learning services.
• Experience with Azure AI and data ecosystem tools, including Azure AI Studio, Azure AI Foundry, Microsoft Fabric, and related Azure data lake, data pipeline, and MLOps services.
• Expertise designing or optimizing reduced-order models, physics-informed neural networks, or other advanced deep learning techniques for aerospace or defense engineering workloads.
• Experience working in the DoD or public sector.
• Active security clearance, such as Secret or Top Secret.
• AWS Certified Solutions Architect – Professional certification.
• Commitment to staying current on emerging GenAI, digital engineering, and aerospace-focused AI advancements.
• Ability to lead technical workshops, influence stakeholders, and drive adoption of modern GenAI practices within complex DoD organizations.
• Familiarity with secure DevSecOps practices, containerization, and infrastructure-as-code workflows used in defense cloud environments.
• Thrives in a fast-paced, agile environment and is comfortable working in a distributed, cross-time-zone team.
• Engages on collaborative communication channels such as Slack, Teams, and Confluence, and is willing to join rapid-response “tiger teams” when mission needs arise.
• Willingness to learn, embrace iterative development, and contribute to team success.
• Creative problem-solving for complex AI/ML challenges while adhering to security boundaries and DevSecOps principles; communicates effectively with engineers, program managers, and executive leadership.

Responsibilities

• Serve as a trusted, customer-facing technical advisor and advocate for GenAI and agentic solutions across IL2–IL7 environments, guiding customers through secure, cloud-agnostic architectures.
• Define and design solutions using AWS GenAI services, including Amazon Bedrock, Amazon SageMaker Studio, and Amazon Titan Embeddings, to address customer challenges.
• Define and design solutions that integrate with Azure GenAI services, including Azure AI Studio and Azure AI Foundry.
• Lead technical workshops and demonstrations for customers to showcase North Wind’s platform and AI technologies.
• Collaborate with North Wind IT staff and infrastructure engineers to develop and deploy cloud infrastructure using a cloud-agnostic approach and maintain capable, secure systems.
• Contribute to best practices and reference architectures for GenAI, advanced deep learning, and digital engineering within the DoD.
• Stay current with advancements in GenAI, multi-agent systems, related technologies, and aerospace-focused AI techniques.
• Work with customers and teammates to understand mission and technical requirements and architect mission-aligned solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior