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Forward Deployed Engineer Associate (AI Capability Center) - 2 Openings

Toronto, Ontario, Canada
Remote
Posted Sep 26, 2026
1 position

US$105,000–US$130,000 / year

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

Build full-stack AI features on AWS and Azure, using Claude and other models, while working closely with business users in a delivery pod. Maintain quality through testing and evaluations, follow the Solution Architect’s design direction, and identify gaps in the design.

Job details

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. This person builds the solution and works with the business day to day inside a pod. The Solution Architect owns the design and the Engagement Manager owns the schedule, so this seat is focused on building well. Key Responsibilities Build the features. Full-stack on AWS and Azure using Claude and other models. Work with users. Sit with the business day to day and build with them. Keep quality up. Tests and evaluations on everything that ships. Take design direction. From the Solution Architect, and flag what the design misses. Preferred Qualifications Some RAG and agent experience, plus exposure to Agentic DevOps tooling (agentic coding tools, eval-driven pipelines). Meets the FDE-ready floor (Embedding L3 with AI L3) at day 0. Front-end skills. Healthcare or higher education exposure. AWS AI Practitioner or Azure AI-900 / AI-102. General Required Skills 3+ years building software or AI. Python, and AWS or Azure. A capable builder who is comfortable working with the business. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. The estimated base salary for this job is $105,000 - $130,000 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 $120,750 - $149,500 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-REMOTE #LI-CL1 Position Level Associate Country United States of America Job Id: cLAp6QYkF20M3PI3zuXPL8k3in2/F3wt3dPpQLNidLzlTFbn4HJiSzlS06dHfeIccKgk2bETK4n99FI+eTh3T5cX9r2/lHRB7HdjmpyxRUisJumPgvFWglLw10+0HjgjCk+xXCfEcVwc+xtQ3ygYbpaNkOsoqk8Kx0/HiIXsXkQY9RiuZj9OvDWJOlb9DuyGB23b5fu7+l4HEHYv9+Y2PCnN+0pdMWdUZs80ApPBllmzbQBnxh05NAw8sbX0

What you’ll do

Requirements

Requires at least three years of software or AI development experience, Python skills, and experience with AWS or Azure; a bachelor’s degree in Computer Science, Engineering, or a related field is required or equivalent experience is accepted. Preferred qualifications include RAG and agent experience, agentic DevOps tooling, front-end skills, healthcare or higher education exposure, and AWS or Azure AI certifications.