About the company
At Huron, we’re redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client’s 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 work…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
Key Responsibilities
đź“ŤDesign and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings đź“ŤBuild intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar đź“ŤCreate modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption đź“ŤDevelop and manage data pipelines, including data collection, transformation, and quality assurance to support model training đź“ŤImplement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning đź“ŤCollaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production đź“ŤSupport rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case đź“ŤStay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities
Preferred Qualifications
đź“ŤMinimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering đź“ŤProficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs) đź“ŤExperience building APIs or backend services using FastAPI, Flask, or equivalent frameworks đź“ŤExposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases đź“ŤFamiliarity with cloud platforms (Azure, AWS) and containerization tools (Docker) đź“ŤFamiliarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
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