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L3Harris TechnologiesVerified Job Source

Sr. Specialist, AI Solutions Developer

The AI Solutions Developer designs, develops, and deploys AI-enabled applications to improve business processes and operational effectiveness. This role involves integrating AI services with enterprise systems while ensuring compliance with security, governance, and architecture standards.

  • On-site
  • Hamilton, ON
  • Posted Aug 4, 2026
  • Apply by Oct 31, 2026
  • 1 position

Job summary

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 technologies, frameworks, and platforms for technical fit, scalability, cost, and long-term sustainability. Communication & Leadership Skills Excellent communication and stakeholder management skills across business and technical audiences. Ability to explain and interpret technical processes, architecture concepts, and operational impacts. Ability to guide implementation activities, coordinate project work, and support change adoption. Desired Education and Experiences Bachelor’s Degree in Information Technology, Computer Science, Engineering, Data Analytics, Business Technology, or related discipline with a minimum of 6 years of relevant experience; or Graduate Degree with a minimum of 4 years of related experience; or In lieu of a degree, a minimum of 10 years of directly related experience. Experience building and deploying AI-powered applications in enterprise environments. Experience integrating AI solutions into business applications and operational workflows. Experience supporting or coordinating cross-functional technology implementations. Knowledge of responsible AI governance and technology risk management practices. Experience supporting enterprise architecture, systems integration, or operational transformation programs. Experience with enterprise AI and automation platforms including Microsoft Copilot, Azure AI/OpenAI, Microsoft Fabric, enterprise integration technologies, and responsible AI governance tools. Experience with containerization and orchestration technologies such as Docker and Kubernetes to deploy, manage, scale, and monitor AI-enabled applications, automation services, APIs, and enterprise integration workloads across cloud and hybrid environments. *This posting is for a current vacancy. In the province of Ontario, Canada, the pay range for this position will be $90,000 to $140,000 #LI-BD1

What you’ll do

The AI Solutions Developer designs, develops, and deploys AI-enabled applications to improve business processes and operational effectiveness. This role involves integrating AI services with enterprise systems while ensuring compliance with security, governance, and architecture standards.

Requirements

Candidates must have a degree in a relevant field with at least 4 to 6 years of experience, or 10 years of equivalent experience. Proficiency in AI platforms, containerization technologies like Docker and Kubernetes, and modern programming languages is required.

Listed skills

  • KubernetesPreferred
  • DockerPreferred
  • JavaScriptPreferred
  • C++Preferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Azure AI Services
  • Azure OpenAI
  • Microsoft Copilot Studio
  • Python
  • C#
  • JavaScript
  • Docker
  • Kubernetes
  • Large Language Models
  • Prompt Engineering
  • Retrieval-Augmented Generation
  • Solution Architecture
  • Enterprise Integration
  • AI Governance
  • Data Privacy
  • Technical Leadership
  • Microsoft Copilot
  • Large Language Modeling
  • Agentic AI
  • Responsible AI
  • Solution Design
  • Workflow Management
  • Retrieval Augmented Generation
  • Technology Solutions
  • Microsoft Fabric
  • JavaScript (Programming Language)
  • Application Programming Interface (API)
  • Artificial Intelligence
  • Applications Of Artificial Intelligence
  • Data Analysis
  • Application Development
  • Automation
  • Microsoft Azure
  • Management
  • Business Process
  • Business Process Automation
  • Business Requirements
  • Business Systems
  • Business Technologies
  • C# (Programming Language)
  • Containerization
  • Decision Making
  • Communication
  • Computer Science
  • Information Technology
  • Security Controls
  • Governance
  • Leadership
  • Scalability
  • Enterprise Architecture

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Engineering
  • Management & Leadership
  • UI Solutions Developer
  • Software Developer / Engineer
  • Software Developers

Additional details

Minimum education
Bachelor’s degree
Minimum experience
5+ years
Apply by
Oct 31, 2026
Posting language
English
Working hours
40 hours per week