AI SOLUTIONS ENGINEER

Responsibilities

• Work closely with business stakeholders to understand their problems and propose AI solutions, including Generative AI, that deliver business value

• Design and implement scalable, secure, and high-performing AI solutions that align with organizational goals and business needs

• Identify and manage technical risks and issues, implementing mitigation strategies as needed

• Ensure that AI solution meet quality standards, relevant regulations, ethical, and security standards, particularly concerning data privacy and responsible AI use

• Communicate AI solutions and their benefits to stakeholders, providing regular updates on progress and performance

• Collaborate with data scientists and data engineers to design, develop and maintain scalable data pipelines for AI solutions

• Provide technical guidance to development teams throughout the project lifecycle

• Analyze business requirements and assess build versus buy opportunities based on existing technology resources

• Ensure the AI tech stack is extensible and expandable as new requirements are identified

• Define and implement standards and guidelines for AI solution design, architecture, and development

• Create comprehensive documentation, including architecture diagrams, technical specifications, and user guides. Ensure all stakeholders are informed about the capabilities and limitations of the AI solutions

• Assist in developing methods to measure and report on AI performance and reliability.

• Establish the short-term and long-term direction of AI technology, aimed at keeping the organization on the forefront of change.

• Attend training, conferences, and industry seminars as appropriate, to stay abreast of AI technologies, trends and directions. Identify opportunities for continuous innovation and Improvement using AI