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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of secure, reusable integration frameworks and services connecting AI solutions with enterprise data, applications, and instruments.
Define and execute scalable API, event-driven, and data integration architectures to enable enterprise-wide AI adoption.
Provide technical leadership and establish integration standards and governance to accelerate deployment of AI across multiple business functions and operating companies.
Minimum Requirements
Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or related technical field.
8+ years experience in enterprise application integration, software engineering, middleware development, or platform engineering.
Strong expertise in API design/development, RESTful services, event-driven architectures, microservices, API gateways, and authentication.
Hands-on experience integrating enterprise platforms such as Salesforce, ServiceNow, SAP, Snowflake, Microsoft technologies; programming skills in Python, Java, C#, and experience with cloud platforms like Azure or AWS.
Ideal Candidate Profile
Experienced in integrating AI solutions with complex enterprise systems and infrastructure at scale.
Proficient in architecting scalable API and event-driven integration patterns enabling cross-functional AI adoption.
Familiarity with AI frameworks/platforms (e.g. Azure OpenAI, LangChain), generative AI application integration and enterprise business systems (CRM, ERP, supply chain) is advantageous.