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.
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. Youll help design build and deploy intelligent systems that leverage a range of technologiesfrom machine learning to generative AI and agent-based architecturesto 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 were continuously exploring new AI paradigmsincluding AI agents agent orchestration layer model chaining and self-evaluating systems. If youre 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
Bachelors 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 ability to travel as needed.
The estimated base salary for this job is $130000 - $160000 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 Hurons annual incentive compensation program which reflects Hurons pay for performance philosophy. Inclusive of annual incentive compensation opportunity the total estimated compensation range for this job is $145600 - $188800 USD. The job is also eligible to participate in Hurons 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
Position Level
Senior Associate
Country
United States of America
Required Experience:
Senior IC
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 t...
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.
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. Youll help design build and deploy intelligent systems that leverage a range of technologiesfrom machine learning to generative AI and agent-based architecturesto 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 were continuously exploring new AI paradigmsincluding AI agents agent orchestration layer model chaining and self-evaluating systems. If youre 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
Bachelors 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 ability to travel as needed.
The estimated base salary for this job is $130000 - $160000 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 Hurons annual incentive compensation program which reflects Hurons pay for performance philosophy. Inclusive of annual incentive compensation opportunity the total estimated compensation range for this job is $145600 - $188800 USD. The job is also eligible to participate in Hurons 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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