
AI Solution Architect (Manager) - Remote
- Chicago, IL
- Permanent
- Full-time
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
- 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