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.
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms—including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you’re excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.
Key Responsibilities
Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities
Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives
Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution
Required Qualifications
3+ years of hands-on experience in AI/ML development or intelligent application engineering
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Experience in Python
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Preferred Qualifications
5+ years of hands-on experience in AI/ML development or intelligent application engineering
Proficiency in Python
Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills
Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery
Flexible living locations across US or Canada, ability to travel as needed.
The estimated base salary for this job is $130,000 - $160,000 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 $145,600 - $188,800 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.
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Skills Required
- 3+ years of hands-on experience in AI/ML development or intelligent application engineering.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Experience in Python.
- Familiarity with modern ML/AI libraries (scikit-learn, PyTorch, TensorFlow, OpenAI APIs).
- Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker).
Huron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Huron and has not been reviewed or approved by Huron.
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Retirement Support — Retirement programs include a company 401(k) match positioned as a core element of total rewards, signaling strong long‑term savings support. Company materials and filings describe a competitive match structure with broad availability.
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Equity Value & Accessibility — An employee stock purchase plan provides company‑matched RSUs on purchased shares and is broadly accessible across the workforce, indicating meaningful equity participation. Company filings outline the plan’s match design and wide eligibility.
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Leave & Time Off Breadth — Policies emphasize flexible/unlimited PTO, paid holidays, and parental leave with caregiving resources, reflecting expansive time‑off options. Careers and benefits pages present flexibility and time away as core components of the package.
Huron Insights
What We Do
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. By embracing diverse perspectives, encouraging new ideas and challenging the status quo, we create sustainable results for the organizations we serve.
