AI Developer - Finance Automation & Enterprise Integration
Revvity
Full time- 2+ years
- Not Disclosed
- Remote ( India), India
- Post Date: May 20, 2026
- End Date: Aug 20, 2026
- 2+ years
- Not Disclosed
- Remote ( India), India
- Post Date:May 20, 2026
- End Date: Aug 20, 2026
Skills:
- Amazon Web Services (AWS)
- Typescript
- Google Cloud (gcp)
- DevOps
- Azure
- Python
- Kubernetes
- Docker
- Lambda
- CI/CD
Job Description:
Responsibilities
- 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
Qualification & Experience
- 5+ years of overall IT experience
- 2+ years of enterprise AI/ML development experience with proven track record of scaling production systems
- Experience with 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
- Enterprise & Finance Domain:
- 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
- Experience with Indian financial regulations and compliance requirements
- Background in fintech, banking, or life sciences industry
- Certifications in cloud platforms ((AWS Solutions Architect, Azure AI Engineer, etc.)
- Experience with MLOps, model governance, and AI ethics frameworks
- Knowledge of emerging AI technologies (RAG, fine-tuning, multi-modal AI)
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Salary
Not Disclosed
-
Role
Developer / Programmer
-
Area of Practice
- Development
- Architecture
- Artificial Intelligence
-
Experience
2+ years
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