Sr AI Governance Java Engineer

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**About the Role:

We are seeking strong **Senior Java + AI Platform Engineers to work on strategic enterprise initiatives focused on building scalable AI Governance, observability, and Compliance platforms.

The ideal candidate will have strong expertise in Java backend engineering, distributed systems, AI integrations, telemetry pipelines, and cloud-native architectures. This role involves designing scalable enterprise-grade platforms capable of monitoring, governing, and securing AI interactions across large-scale enterprise environments.

**Key Responsibilities:

• Design and build pluggable evaluator services using Java and Spring Boot

  • Develop scalable SaaS/cloud-native backend services and microservices

    • Integrate with AI platforms including AWS Bedrock, Azure AI Foundry, Google Vertex AI, OpenAI, and Anthropic APIs

      • Build orchestration frameworks and schedulers for evaluation execution workflows

        • Develop AI risk scoring systems and evaluation pipelines

          • Design and implement telemetry, monitoring, and observability solutions

            • Build dashboards and reporting systems for evaluation results and governance insights

              • Develop integrations/connectors for cloud-native event streams and event-driven architectures

                • Collaborate with cross-functional engineering teams in an Agile sprint environment

                  • Participate in code reviews, CI/CD setup, and quality engineering practices

                    • Ensure adherence to software development lifecycle and engineering best practices

                      Requirements

                      **Required Skills Qualifications

                      • 47 years of strong backend engineering experience using Java and Spring Boot

                        • Proven expertise in SaaS application development and cloud-native architecture

                          • Strong understanding of REST APIs and microservices architecture

                            • Hands-on experience with at least one AI platform:

                              • AWS Bedrock
                              • Azure OpenAI
                              • Google Vertex AI
                                -OpenAI APIs

                            • Experience with cloud SDKs such as AWS SDK for Java, Azure SDK, or Google Cloud Java libraries

                              • Strong knowledge of CI/CD tools like GitHub Actions, Jenkins, or similar

                                • Experience with testing frameworks including unit, integration, and contract testing

                                  • Understanding of orchestration/scheduler frameworks such as Quartz or Spring Batch

                                    • Experience with event streaming platforms such as Kafka, AWS Kinesis, Azure Event Hub, or GCP Pub/Sub********

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.