AI Solution Architect (Manager) - Remote

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💎 Seniority level: Manager, 8+ years

📍 Location: United States, Canada

💸 Salary: 166750.0 - 212500.0 USD per year

🔍 Industry: Software Development

🏢 Company: huroncareers

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLAgileArtificial IntelligenceCloud ComputingData AnalysisFrontend DevelopmentKubernetesMachine LearningSoftware ArchitectureCross-functional Team LeadershipAlgorithmsAPI testingAzureREST APICommunication SkillsCI/CDRESTful APIsMentoringMicroservicesData visualizationTeam managementStakeholder managementData modeling

Requirements:

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

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

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