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AI/ML Engineer (Senior Associate) - Remote

June 6, 2026

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.<h3></h3><h3></h3>We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You’ll help design, build, and deploy intelligent systems that leverage a range of technologies—from machine learning to generative AI and agent-based architectures—to solve complex, real-world problems. 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.<h3></h3>Key Responsibilities<ul><li>Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings</li><li>Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar</li><li>Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption</li><li>Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training</li><li>Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning</li><li>Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production</li><li>Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case</li><li>Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities</li><li>Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives</li><li>Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution</li></ul>Required Qualifications<ul><li>3+ years of hands-on experience in AI/ML development or intelligent application engineering</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field</li><li>Experience in Python</li><li>Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</li><li>Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</li></ul>Preferred Qualifications<ul><li>5+ years of hands-on experience in AI/ML development or intelligent application engineering</li><li>Proficiency in Python </li><li>Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</li><li>Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks</li><li>Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases</li><li>Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</li><li>Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services</li><li>Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus</li><li>Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus</li><li>Knowledge of AI system evaluation, observability, or prompt performance testing is a plus</li><li>Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences</li><li>Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus</li><li>Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills</li><li>Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery</li></ul>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. #LI-CL1 #LI-REMOTE<h3></h3><h2>Position Level</h2>Senior Associate<h3></h3><h2>Country</h2>United States of America

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...