Build and maintain the technical infrastructure that enables the organization's AI adoption strategy
Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements
Oversee architectural and technology choices for all internal AI systems
Provide expert guidance on crafting effective prompts and interaction patterns for generative models
Requirements
A degree in Computer Science, Artificial Intelligence, or a related field is typically required
Strong proficiency in applicable programming languages
Practical experience with generative AI APIs and evaluation methods
Strong familiarity with cloud platforms like Azure, GCP, or AWS and their respective AI/ML services
Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions
Strong analytical thinking and problem-solving capabilities
Benefits
Opportunity for continuous learning and professional development in a rapidly evolving field
Collaborative and supportive environment where contributions are highly valued
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
programming languagesgenerative AI APIsevaluation methodscloud platformsAzureGCPAWSMCP serversAI systemsmicro-services
Soft skills
analytical thinkingproblem-solving
Certifications
degree in Computer Sciencedegree in Artificial Intelligence