About the company
At Huron, weāre redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our clientās challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great workā¦together. Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Job Summary
Requirements:
šSupport the architecture and design of AI solutions across multiple projects, ensuring technical feasibility and alignment with client goals šContribute to the development of shared architectural patterns, reusable components, and design practices to support both experimental and production-ready AI initiatives šEvaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-prem, or hybrid setups šDrive architectural decisions related to data pipelines, model orchestration, API development, observability, and integration with enterprise systems šApply knowledge of traditional machine learning and generative AI technologies (e.g., LLMs, embeddings, RAG, AI agents) to support diverse solution needs šUnderstand 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 šServe as a technical resource to project teams by reviewing technical designs, contributing to code and system architecture, and mentoring junior engineers šCollaborate with delivery leads, and client stakeholders to refine solution designs as project requirements evolve šParticipate in technology evaluation and internal discussions to help shape best practices and strengthen architectural consistency across teams
Preferences:
š8+ years of experience in software engineering or AI/ML development, including 2+ years in solution design or architecture roles šExperience designing AI-powered solutions using machine learning, data pipelines, or generative AI APIs šFamiliarity with enterprise architecture principles and working within production-oriented environments šHands-on experience with Python, AI/ML frameworks, and API development šExposure to GenAI frameworks and agent orchestration tools šUnderstanding of cloud platforms (Azure, AWS) and containerized environments šComfort working in agile, project-based environments and collaborating with technical and non-technical stakeholders
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