Lead Integration Engineer
Beckman Coulter Diagnostics (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About 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.