AI Integration and Automation Specialist

Government of New Brunswick•NB, NB

20h•CA$67,600 - CA$94,406•Remote

About The Position

The Finance and Treasury Board's Office of the Chief Information Officer has a career opportunity for an AI Integration and Automation Specialist to join our dynamic, progressive team of professionals in an environment in which employees can learn, grow, create, and support innovative strategies to help the Government of New Brunswick (GNB) deliver on transformational business objectives. This role combines AI integration, automation, system integration, cloud technologies, and technical implementation to ensure AI capabilities are successfully deployed, integrated, tested, monitored, and continuously improved.

Requirements

A university degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Information Technology, or a related discipline.
A minimum of five (5) years of experience in implementing or integrating enterprise applications, cloud services, APIs, or automation solutions.
Experience integrating systems using REST APIs, web services, or enterprise integration technologies.
Experience with scripting, configuration, or low-code/no-code development platforms.
Experience with software implementation, testing, deployment, and operational support practices, including technical documentation.
At least two (2) years of experience designing and configuring AI-enabled solutions, Large Language Models (LLMs), workflow automation platforms, or comparable AI technologies.
At least two (2) years of experience working with structured and unstructured data, including data ingestion, retrieval-augmented generation (RAG) pipelines, document processing, or knowledge management solutions for AI systems.
Written and spoken competence in English.

Nice To Haves

Experience implementing solutions using Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure Functions, Logic Apps, Azure API Management, Microsoft Power Platform, or comparable enterprise cloud platforms.
Experience implementing Retrieval-Augmented Generation (RAG), vector search, document intelligence, knowledge retrieval, or agentic AI solutions.
Experience integrating AI services with enterprise applications using APIs, SDKs, or enterprise integration technologies.
Experience developing workflow automation using Power Automate, Logic Apps, or comparable automation platforms.
Experience working with authentication protocols, API security, identity management, or enterprise security practices.
Experience working in Agile or iterative software delivery environments.
Experience supporting AI-enabled solutions within security, privacy, governance, accessibility, or Responsible AI frameworks.
Experience in government or other large enterprise environments.

Responsibilities

Design, configure, integrate, and implement AI-enabled solutions that address business and operational needs.
Build and maintain integrations between AI services, enterprise applications, data sources, and digital platforms.
Develop and implement automated workflows using enterprise automation, orchestration, and integration technologies.
Configure and support AI services, APIs, connectors, and enterprise integrations.
Implement AI capabilities including knowledge retrieval, document processing, conversational AI, and emerging AI approaches where appropriate.
Troubleshoot, optimize, and support AI integrations, automated workflows, and connected enterprise systems.
Participate in technical solution design and recommend implementation approaches that align with enterprise architecture, security, and governance standards.
Collaborate with architects, developers, UX specialists, business analysts, and business stakeholders to deliver secure, scalable, and reliable solutions.
Support solution testing, validation, deployment, monitoring, and continuous improvement.
Produce technical documentation for integrations, configurations, workflows, APIs, and operational procedures.
Ensure solutions align with security, privacy, accessibility, governance, and Responsible AI requirements.