AI Developer

Zekelman Industries

1d•Remote

About The Position

As an AI Developer at Zekelman Industries, reporting to the Vice President of AI and Innovation, you will design, build, and deploy intelligent solutions that transform how our business operates across HR, Finance, Supply Chain, Sales, and IT. This position requires deep expertise in modern AI development—spanning agentic frameworks, generative AI, and enterprise cloud platforms—and offers the opportunity to contribute directly to embedding automation and intelligent decision-making into core workflows that drive measurable business impact. You will collaborate with cross-functional teams and stakeholders across the organization, ensuring complex business challenges are translated into scalable, production-ready AI solutions. This is a remote role. This role is ideal for someone who thrives at the intersection of cutting-edge AI tooling and practical business impact, brings a strong hands-on development background, and can operate across the full solution lifecycle from prototype to production.

Requirements

5 years of combined professional and academic experience in AI/ML development, with a minimum of 3 years of hands-on experience developing and deploying production AI solutions
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (Master’s degree in Artificial Intelligence, Machine Learning, or related discipline preferred)
Demonstrated experience designing and building agentic AI systems or multi-agent workflows
Hands-on experience deploying AI workloads on Microsoft Azure and/or Google Cloud Platform
Proven use of low-code/no-code AI platforms in delivering business solutions
Strong portfolio of AI projects demonstrating breadth across model development, deployment, and business integration
Excellent problem-solving abilities and comfort working at the intersection of technical depth and business strategy
Strong collaboration and communication skills with ability to translate technical concepts for non-technical stakeholders

Nice To Haves

Experience in manufacturing or industrial environments a plus; metals and steel industry experience is a strong differentiator

Responsibilities

Design, develop, and deploy AI solutions using both code-first development and low-code/no-code platforms such as Microsoft Power Platform and Azure AI Studio – Deliver intelligent automation that integrates seamlessly into enterprise workflows
Build and orchestrate AI agents and multi-agent systems using modern agentic frameworks – Create autonomous systems that solve complex, multi-step business problems
Engineer and fine-tune prompts for large language models (LLMs) and integrate foundation models and generative AI capabilities into enterprise applications – Embed generative AI into real-world use cases across Microsoft 365, ERP, and CRM platforms
Deploy, monitor, and manage AI workloads on Microsoft Azure following MLOps best practices – Ensure solutions are scalable, reliable, and production-grade
Select and apply appropriate AI/ML techniques—supervised learning, unsupervised learning, reinforcement learning, and generative AI—to solve business problems – Match the right technical approach to the challenge
Leverage AI-native development tools including GitHub Copilot, Cursor, and Azure AI Foundry to accelerate solution delivery – Improve developer productivity and solution quality
Integrate AI solutions into existing enterprise systems via APIs and connectors – Bridge intelligent automation with legacy and modern platforms
Collaborate with AI team members to translate business improvement opportunities into AI-driven automation and intelligent decision support – Turn strategic goals into deployable solutions
Maintain and monitor deployed solutions, tracking model performance, data drift, and business KPIs – Ensure sustained performance and continuous improvement
Document technical architectures, maintain version-controlled codebases, and uphold software engineering best practices including Git, CI/CD, and code review – Build maintainable, auditable solutions
Stay current on evolving AI tooling, model releases, and platform capabilities and evaluate new approaches for adoption – Keep Zekelman at the forefront of AI innovation
Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy