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Sr. Specialist, AI Solutions Developer

Job in Hamilton, Ontario, E8H, Canada
Listing for: L3Harris Technologies
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 140000 CAD Yearly CAD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Sr. Specialist - AI Solutions Developer

Reference # 41883

Waterdown, ON

About

The Role

The AI Solutions Developer is responsible for designing, developing, integrating, and deploying AI-enabled solutions that improve business processes, productivity, decision-making, and operational effectiveness across WESCAM. This role combines AI application development, solution architecture, enterprise integration, and technical leadership to deliver scalable, secure, and maintainable AI capabilities aligned with operational priorities, data maturity, and enterprise technology standards. This role works closely with IT leadership, business stakeholders, engineering teams, data professionals, and external partners to transform business requirements into practical AI solutions.

This role supports the evaluation of AI technologies, develops prototypes and production-ready applications, and ensures solutions are effectively integrated into enterprise systems and business workflows.

Primary Responsibilities AI Solution Design & Development
  • Design, develop, test, and deploy AI-powered applications, copilots, automation solutions, and intelligent workflows using enterprise-approved platforms and frameworks.
  • Translate business requirements into scalable AI solution architectures and technical specifications.
Enterprise AI Integration
  • Integrate AI services with enterprise applications, databases, APIs, and business systems.
  • Ensure AI solutions align with enterprise architecture, security, and operational requirements.
AI Platform Engineering
  • Configure and deploy AI services including Azure OpenAI and Copilot technologies.
  • Utilize Docker and Kubernetes to containerize, orchestrate, scale, and manage AI workloads.
  • Document architecture, implementation patterns, and support procedures.
AI Governance & Security
  • Implement responsible AI principles, security controls, and compliance requirements within AI solutions.
  • Ensure data privacy, access controls, auditability, and governance standards are incorporated into solution design.
Stakeholder Collaboration & Technical Leadership
  • Collaborate with business teams to identify opportunities for AI-enabled process improvements.
  • Participate in technical reviews, architecture discussions, and solution evaluations.
  • Support proof-of-concepts, pilots, and production implementations.
Required Capabilities Technical & Architecture Capabilities
  • Experience developing AI solutions using Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, and related AI platforms.
  • Strong understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI application patterns.
  • Experience designing and implementing AI-powered copilots, intelligent assistants, knowledge management, and process automation solutions.
  • Experience integrating AI solutions with enterprise systems, applications, databases, and business workflows.
  • Strong programming skills in Python, C#, JavaScript, or similar modern development languages.
  • Experience using Docker for containerization of AI applications and services.
  • Experience with Kubernetes for orchestration, scaling, deployment, and management of containerized workloads.
Architecture & Solution Design
  • Ability to translate business requirements into scalable, maintainable, and secure technology solutions.
  • Experience designing end-to-end AI solution architectures and technical specifications.
  • Ability to evaluate…
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