Applied Artificial Intelligence (AI) Engineer

We are seeking an Applied Artificial Intelligence (AI) Engineer who is a hands-on builder passionate about developing practical AI solutions to solve business challenges. Working under the direction of the Head of AI, you will design, build, and support AI-powered applications, workflows, and automation tools across functions including engineering, supply chain, operations, quality, legal, and commercial teams.

You will work with enterprise data, APIs, and AI technologies, including large language models (LLMs), to create solutions such as document extraction workflows, AI assistants, and process automation tools. The ideal candidate is adaptable, execution-focused, and comfortable working with evolving requirements, imperfect data, and a fast-paced environment.

This role supports the organization's AI strategy by helping deliver scalable solutions, validating new capabilities, and driving measurable business value through AI.

General Responsibilities

Develop, test, and support models, services, and data pipelines.

Partner with data science, product, data engineering, and platform teams to understand requirements and contribute to technical solutions.

Assist with model training, evaluation, deployment, monitoring, and retraining workflows using established tools and processes.

Help improve model performance, reliability, latency, and cost efficiency by analyzing issues and implementing defined enhancements.

Create and maintain reusable code, documentation, and basic tooling that support team delivery and consistency.

Monitor deployed models for performance issues, drift, and operational concerns; escalate findings and support corrective actions.

Communicate progress, risks, and technical considerations clearly to team members and stakeholders.

Apply established technical standards, best practices, and coding guidelines while continuing to build technical expertise.

Stay current with relevant tools, technologies, and practices and apply learnings to assigned work.

Experience / Qualifications

A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.

Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands

Strong communication skills; oral, written and presentation

Strong organization, planning and time management skills to achieve results

Strong personal and professional ethical values and integrity

Holds self-accountable to achieving goals and standards

Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)

Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional Responsibilities

Build, test, and deploy AI solutions and workflows

Develop applications using Python, APIs, and AI/LLM technologies

Work with structured and unstructured enterprise data sources

Create user-facing tools, automations, and integrations

Support testing, monitoring, and continuous improvement of AI solutions

Collaborate with business and technical teams to deliver impactful solutions

Adapt to changing priorities, requirements, and data challenges

Additional Qualifications

3-6 years of experience in software engineering, AI, data engineering, or a related field

Strong Python programming skills and experience building business applications

Experience with AI/GenAI solutions and LLM technologies

Familiarity with tools such as LangChain, LlamaIndex, Semantic Kernel, or OpenAI/Azure OpenAI APIs

Experience working with complex or unstructured data

Strong problem-solving, communication, and collaboration skills

Nice-to-Have

Experience with SQL, data modeling, OCR, or document processing solutions

Familiarity with Power Platform, Copilot Studio, or similar automation tools

Exposure to ERP, supply chain, procurement, manufacturing, or other enterprise business systems

Experience with Azure or other cloud platforms

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