AI Solution Architect (Manager) - Remote

Agnello & Rogers; Tucson (AZ); Remote; USD 145,000 - 170,000; Full time

Job summary

Agnello & Rogers seeks a skilled AI Solution Architect to join their dynamic team, responsible for designing impactful AI solutions. Ideal candidates will possess extensive software engineering experience, particularly in AI/ML development, and demonstrate strong collaborative and communication skills. This role offers an excellent compensation package, including an annual incentive program, and the opportunity to shape innovative AI technology in various environments.

Benefits

Medical, dental, and vision coverage

Annual incentive compensation program

Wellness programs

Qualifications

• 8+ years in software engineering or AI/ML, 2+ years in architecture roles.
• Experience with AI-powered solutions and generative AI APIs.
• Familiarity with enterprise architecture principles.

Responsibilities

• Support AI solutions architecture across multiple projects.
• Contribute to shared architectural patterns and reusable components.
• Drive architectural decisions for data pipelines and model orchestration.

Skills

Software engineering

AI/ML development

Solution design

API development

Communication skills

Education

Bachelor's degree in Computer Science

Advanced degrees or certifications

Tools

Python

AI/ML frameworks

Azure

AWS

Job description

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

We are looking for a technically strong and adaptable AI Solution Architect to join our growing AI practice. In this role, you will contribute to the design and implementation of AI-powered solutions across a range of client-facing projects, helping ensure that architectural decisions are sound, scalable, and tailored to the problem at hand.

You will work closely with engineering teams and client stakeholders to design AI systems that leverage traditional machine learning, generative AI, and intelligent automation. This role requires both a solid technical foundation and the ability to flex across different platforms, frameworks, and business needs.
If you enjoy applying architecture principles to complex AI problems, working across multiple technologies, and collaborating with delivery teams to bring ideas into reality, this is a strong fit.

Key Responsibilities

• Support the architecture and design of AI solutions across multiple projects, ensuring technical feasibility and alignment with client goals
• Contribute to the development of shared architectural patterns, reusable components, and design practices to support both experimental and production-ready AI initiatives
• Evaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-prem, or hybrid setups
• Drive architectural decisions related to data pipelines, model orchestration, API development, observability, and integration with enterprise systems
• Apply knowledge of traditional machine learning and generative AI technologies (e.g., LLMs, embeddings, RAG, AI agents) to support diverse solution needs
• Understand and work with orchestration layers and protocols (e.g., tool use, function calling, and emerging standards like MCP) that support multi-step reasoning and agentic workflows
• Serve as a technical resource to project teams by reviewing technical designs, contributing to code and system architecture, and mentoring junior engineers
• Collaborate with delivery leads, and client stakeholders to refine solution designs as project requirements evolve
• Participate in technology evaluation and internal discussions to help shape best practices and strengthen architectural consistency across teams

Preferred Qualifications

• 8+ years of experience in software engineering or AI/ML development, including 2+ years in solution design or architecture roles
• Experience designing AI-powered solutions using machine learning, data pipelines, or generative AI APIs
• Familiarity with enterprise architecture principles and working within production-oriented environments
• Hands-on experience with Python, AI/ML frameworks, and API development
• Exposure to GenAI frameworks and agent orchestration tools
• Understanding of cloud platforms (Azure, AWS) and containerized environments
• Comfort working in agile, project-based environments and collaborating with technical and non-technical stakeholders
• Strong written and verbal communication skills; ability to translate between technical requirements and business goals
• Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable.
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees or certifications are a plus

Flexible living locations across US OR Canada, ability to travel as needed.

The estimated base salary for this job is $145,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $166,750 - $212,500 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

Position Level
Manager

Country
United States of America