AI Solutions Engineer

Job summary

The role involves developing AI-powered solutions from design to deployment, ensuring they deliver consistent value. The engineer will work closely with stakeholders to translate requirements into scalable implementations and maintain solutions post-launch.

Qualifications

• Proven experience in software engineering, automation, or applied AI with a history of delivering production solutions.
• Strong understanding of modern AI patterns, including LLMs and prompt design.
• Experience with system integration, APIs, and workflow automation tools.
• Ability to design secure and reliable solutions focused on quality and maintainability.
• Strong problem-solving skills and an ownership mindset.
• Comfortable in a fast-evolving tech environment.
• Collaborative with both technical and non-technical stakeholders.
• Fluent in English.

Responsibilities

• Design and deliver AI solutions from prototype to production, ensuring reliability and business value.
• Apply appropriate AI approaches for each use case, including model selection and orchestration design.
• Implement evaluation methods and success criteria for solution quality.
• Build secure and compliant solutions with necessary controls.
• Integrate AI solutions with internal systems and workflows.
• Take ownership of deployed solutions' performance and supportability.
• Collaborate with various teams to translate use cases into implementations.
• Contribute to reusable components and best practices for future development.
• Support user enablement and internal capability building around AI tools.

Skills

• Strong hands-on experience in software engineering and applied AI.
• Solid understanding of AI solution patterns.
• Experience with system integration and workflow automation.
• Strong problem-solving and ownership mindset.
• Collaborative approach with stakeholders.

Education

• Relevant degree or equivalent experience in a related field.

Tools

• Familiarity with approved platforms, APIs, and tools for AI integration.