AI Engineer

Job Description Summary

This role is an opportunity to turn the Corporate Affairs AI strategy into working solutions that deliver measurable value. The AI Engineer will build, test, deploy, and optimize AI applications, workflows, and prototypes that improve how teams generate insights, create content, and support strategic communications and engagement. Working closely with the Director of AI Enablement and business stakeholders, this role will convert prioritized use cases into reliable tools that are practical, usable, and ready for adoption at scale.

In this role you will be accountable for the technical development and production performance of assigned AI solutions, ensuring they are robust, maintainable, and fit for business use. Success in the role will be measured by the ability to move use cases from concept into dependable production solutions that deliver strong user experience, sustained performance, and clear business impact.

 

Job Description

Key Responsibilities

• Build, configure, test, and deploy AI solutions that address priority Corporate Affairs use cases, translating requirements and designs into working applications and workflows.
• Own front-end, user interface development, building user-facing applications end-to-end.
• Partner with the AI Enablement team to turn business priorities into technically sound solutions that can move efficiently from prototype to production.
• Integrate AI models, enterprise platforms, and approved data sources to create solutions that are reliable, connected, and practical for day-to-day use.
• Develop and refine prompts, logic, workflows, and evaluation approaches to improve output quality, usability, and consistency across deployed solutions
• Support rapid experimentation and prototyping while maintaining a clear path to production, ensuring promising ideas can be scaled without unnecessary rework.
• Monitor solution performance, troubleshoot issues, and continuously optimize reliability, speed, and output quality after launch
• Implement testing, documentation, and release discipline so solutions are maintainable, auditable, and easier to scale across the portfolio.
• Work closely with business users to gather feedback, improve functionality, and ensure delivered solutions meet real operational needs and adoption goals.
• Apply responsible AI, security, and data handling requirements throughout development, ensuring solutions meet internal policy and compliance expectations.

Essential Requirements:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field, or equivalent practical experience.
• Relevant certifications in AI/ML, cloud platforms, data engineering, or software engineering.
• 8-12 years of hands-on experience in AI engineering, machine learning engineering, software engineering, or data engineering roles, with at least 3 years building and deploying production-grade AI, generative AI, or advanced analytics solutions in a corporate environment.
• Extensive experience with AI platforms or toolchains (Claude, GPT, Azure OpenAI, Langfuse, vector databases etc.)
• Strong hands-on experience with large language models, prompt design, workflow orchestration, model integration, evaluation approaches, and production support for AI-enabled applications.
• Proven experience developing, testing, deploying, and optimizing reliable technical solutions that meet business requirements and perform effectively in day-to-day use.
• Experience working with enterprise data sources, APIs, cloud platforms, and application integration patterns required to operationalize AI solutions at scale.
• Experience monitoring live solutions, resolving production issues, and continuously improving performance, usability, and output quality after launch.

Desirable Requirements:

• Demonstrated ability to move use cases from prototype through production, balancing experimentation with engineering discipline, maintainability, and control requirements.
• Proven track record of delivering measurable outcomes through AI or advanced technology solutions in a business context.
• Experience working with cross-functional stakeholders including product owners, architects, data teams, IT, and business users in agile or delivery-oriented environments.
• Exposure to Corporate Affairs, communications, or content-centric business processes is preferred but not essential.

 

Skills Desired