Ai Integration Engineer Jobs in Rochester Hills, MI

Job Description

• Own architecture & delivery for complex integration services (APIs, microservices, event-driven workflows) with production SLIs/SLOs.
• Build AI-driven workflows (RAG, summarization, classification, agents) that augment investigations, triage, and orchestration.
• Create reusable connectors bridging SIEM/EDR/IAM/SSPM/ITDR/ITSM and cloud telemetry with robust error handling, retries, and DLQs.
• Implement security automation (SOAR-like playbooks) that enrich alerts and trigger deterministic + AI-assisted responses.
• Harden and observe services with CI/CD, automated testing, performance profiling, metrics, and incident runbooks.
• Mentor engineers and lead technical design reviews, coding standards, and reference implementations.
• Translate requirements into clear epics/roadmaps; align stakeholders and deliver on time with quality.

• 5-7 years in software security engineering; advanced proficiency in modern programming languages.
• Expert in API development, microservices, event streaming, and idempotent integration patterns.
• Experience deploying software using any modern CI/CD pipeline and automated delivery practices.
• Hands-on with security tooling integrations (e.g., SIEM, EDR, SSPM).
• Proven AI integration experience: LLM agents, embeddings, vector databases, RAG, prompt engineering.
• Cloud proficiency (Azure/AWS/GCP) and IaC (Terraform/Bicep/ARM/CloudFormation).
• Data engineering fluency: ETL/ELT, schema design, normalization/enrichment; formats (JSON, YAML, syslog, STIX/TAXII).
• Excellent cross-functional communication; ability to lead small teams through delivery.

• Experience extending vendor SDKs/plugins; contributions to open-source (security/AI).
• Security data modeling (MITRE ATT&CK mappings, entity graphs) and knowledge stores.
• Familiarity with Semantic Kernel/LangChain, feature engineering, or lightweight MLOps.

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