Revvity

Principal AI Developer – Finance Automation, Enterprise Integration

Revvity

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Lead

Tech Stack

AWSAzureCloudDockerETLGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonTypeScript

About the role

  • Lead technical assessment of current AI automation infrastructure and identify optimization opportunities
  • Establish relationships with global finance leadership, IT architecture teams, and regional stakeholders
  • Conduct deep-dive analysis of existing SAP, Salesforce, and cloud platform integrations to identify AI enhancement opportunities
  • Mentor junior developers and establish technical standards for the India AI development team
  • Present strategic roadmap for AI-driven financial automation to senior leadership
  • Architect and lead development of enterprise-scale AI solutions for financial process automation (P2P, O2C, R2R cycles)
  • Design and implement advanced prompt engineering frameworks for complex financial document processing and analysis
  • Lead integration projects connecting AI models with SAP S/4HANA, Salesforce Financial Services Cloud, and multi-cloud environments
  • Establish CI/CD pipelines for AI model deployment with enterprise-grade security, compliance, and monitoring
  • Drive technical decision-making for cloud infrastructure scaling across AWS/Azure/GCP platforms
  • Collaborate with global teams to ensure 24/7 system reliability and performance optimization
  • Own end-to-end delivery of mission-critical AI automation platforms serving global finance operations
  • Lead technical presentations to C-suite executives, translating AI capabilities into strategic business value
  • Establish center of excellence for AI development practices, including code review standards, testing frameworks, and deployment protocols
  • Drive innovation in real-time financial analytics, predictive modeling, and intelligent reporting systems
  • Mentor and scale the India AI development team, establishing career development pathways
  • Lead vendor evaluations and technology partnerships for next-generation AI capabilities
  • Ensure compliance with global data governance, financial regulations, and security standards

Requirements

  • 12+ years of overall IT experience
  • 5+ years of enterprise AI/ML development experience with proven track record of scaling production systems
  • Familiarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline
  • Expert-level proficiency in Python, JavaScript/TypeScript, cloud-native architectures, and containerization (Docker, Kubernetes)
  • Deep experience with LLM integration, prompt engineering, and AI model optimization for enterprise applications
  • Proven expertise in cloud platforms (AWS, Azure, GCP) with focus on AI/ML services and enterprise integration patterns
  • Strong background in API development, microservices architecture, and enterprise system integrations
  • Extensive experience with SAP modules (FI/CO, S/4HANA, BTP) and/or Salesforce platform development
  • Deep understanding of financial processes: accounts payable/receivable, financial reporting, budgeting, forecasting
  • Experience with enterprise data governance, financial compliance (SOX, GAAP, IFRS), and audit requirements
  • Knowledge of real-time data processing, ETL pipelines, and financial data warehousing
  • Proven ability to lead technical teams and mentor junior developers
  • Experience presenting to senior executives and translating technical concepts to business stakeholders
  • Strong project management skills with experience in Agile/Scrum methodologies
  • Excellent English communication skills for global collaboration across time zones.
Benefits
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI automationAI/ML developmentPythonJavaScriptTypeScriptcloud-native architecturescontainerizationLLM integrationAPI developmentmicroservices architecture
Soft skills
mentoringtechnical decision-makingpresentation skillscollaborationproject managementleadershipcommunicationinnovationrelationship buildingstrategic thinking