AI Engineer

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 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.

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

Preferred Qualifications

Atleast 4 years of hands-on experience in AI/ML development or intelligent application engineering

Proficiency in Python and 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

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

Bachelor’s degree in computer science, Engineering, Data Science, or a related field

Position Level

Senior Associate

Country

India