Staff Business Systems Specialist

synaptics

Bangalore 8 Years Exp Posted 63d ago

Job Description

  • Lead the deployment and operationalize enterprise AI platforms including: ChatGPT Enterprise; Anthropic Claude; Microsoft 365 Copilot; GitHub Copilot Enterprise and Oracle AI services and other enterprise AI SaaS tools 
  • Design secure integration patterns between AI platforms and enterprise systems (ERP, CRM, HRIS, ITSM, knowledge bases, internal portals) 
  • Develop API-based integrations leveraging OpenAI, Anthropic, and other provider SDKs
  • Implement authentication, access controls, and data boundary enforcement for enterprise AI usage
  • Configure and optimize enterprise AI tenant settings, usage controls, and monitoring
  • Build LLM-powered applications leveraging ChatGPT, Claude, and similar models
  • Develop Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge sources
  • Implement prompt engineering strategies, structured outputs, and guardrail mechanisms
  • Design embeddings workflows and vector search integrations for enterprise knowledge retrieval
  • Develop reusable AI service layers to enable AI features across multiple applications
  • Develop production-ready AI services using Python and modern backend frameworks
  • Containerize and deploy AI services using Docker and cloud-native infrastructure
  • Implement monitoring for model performance, usage analytics, and drift detection
  • Ensure scalable inference architecture with cost optimization strategies
  • Maintain CI/CD pipelines for AI service updates and safe rollouts
  • Implement AI controls including: Output moderation and filtering; Logging and audit trails; PII protection and masking; role-based access controls
  • Ensure enterprise AI deployments comply with security, privacy, and regulatory requirements
  • Embed governance frameworks into technical implementations rather than policy-only documentation
  • Work closely with application teams, data engineers, and IT architects to embed AI capabilities into existing systems
  • Provide hands-on technical guidance and code reviews to development teams adopting AI
  • Translate business requirements into scalable AI-enabled technical solutions

 

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