Senior Full-Stack AI Analytics Platform Lead

Huron; Chicago (IL); On-site; USD 127,000 - 150,000; Full time

Job summary

Huron is seeking a Senior Full Stack Lead Engineer to guide the technical direction of Market Insights analytics, from data layer to UI, with AI embeddings. You will lead a hands-on team, set architecture, and collaborate with product management, data engineering, and data science to bring intelligent analytics to market.

The role emphasizes leadership, design for scalability and security on AWS, and delivering AI-enabled capabilities while aligning with healthcare compliance requirements.

Qualifications

• 8+ years of professional software engineering experience across full stack.
• 3+ years of leading or mentoring engineers.
• Experience applying AI or machine learning within production analytics or data products.
• Strong front end development skills in TypeScript, JavaScript, and React.
• Strong back end skills in Python, and an equivalent language used for analytics and API development.
• Solid understanding of relational databases and SQL.
• Working knowledge of core AWS services relevant to data and analytics, including Lambda, IAM, S3, Redshift, Glue, and Athena.
• Experience with infrastructure as code using AWS CloudFormation and the AWS CDK.
• Experience with version control systems, particularly Git.
• Experience delivering software using Agile methodologies.
• Excellent written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders.

Responsibilities

• Lead design and development across the stack: responsive front end interfaces, APIs and services, and the underlying data layer for analytics products.
• Set technical direction and architecture for scalability, security, and performance of AWS based analytics solutions.
• Collaborate with product management on roadmap, prioritization, and feature delivery using Agile practices.
• Identify and lead opportunities to embed AI and Agentic AI capabilities into analytics products: predictive models, natural language interfaces over data, automated insight generation, and generative AI features that help clients act faster on their data.
• Partner with data scientists to move machine learning models from prototype into reliable, production grade services.
• Evaluate and apply large language model based tools where they add measurable client value, with attention to data privacy, accuracy, and healthcare compliance requirements.
• Design and maintain ETL and data pipeline processes that feed dashboards, models, and client facing reporting.
• Work with cloud data services, including S3, Redshift, Glue, Lambda, and Athena, to build scalable data infrastructure.
• Uphold data governance, quality, and healthcare data handling standards across the platform.
• Support, and mentor a team of engineers, providing technical guidance and career development.
• Establish and continuously improve engineering practices, code quality standards, and delivery processes.
• Communicate progress, risks, and technical decisions clearly to product leadership and cross functional stakeholders.

Skills

Full stack

Leadership

AI in production

React frontend

Python backend

SQL

AWS services

Infrastructure as code

Git

Agile

Communication skills

Education

Bachelor's degree in CS/Engineering or related

Tools

AWS CloudFormation

AWS CDK

SQLAlchemy

PostgreSQL

Redshift

DynamoDB

Snowflake

Terraform

Azure DevOps

Spark

Job description

Huron is seeking a Senior Full Stack Lead Engineer to guide the technical direction of Market Insights analytics, from data layer to UI, with AI embeddings. You will lead a hands-on team, set architecture, and collaborate with product management, data engineering, and data science to bring intelligent analytics to market.

The role emphasizes leadership, design for scalability and security on AWS, and delivering AI-enabled capabilities while aligning with healthcare compliance requirements.