Revvity

Principal AI Developer, Finance Automation & Enterprise Integration

India
AI Python JavaScript TypeScript Docker Kubernetes LLM AWS Azure GCP API Microservices SAP Salesforce SQL
Description

AI Developer - Finance Automation & Enterprise Integration

Location: India - Remote

Time Type: Full time

Job Description

Job Title

AI Developer - Finance Automation & Enterprise Integration


Location(s)

India - Remote

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

Principal AI Developer - Finance Automation & Enterprise Integration (India) 


About You: 

You're a seasoned AI professional with deep expertise in artificial intelligence and enterprise system integration, passionate about how generative AI and large language models (LLMs) can transform financial operations at scale. You embody our core values: 


Embrace the unknown: You lead with a "What if?" mindset, architecting innovative AI solutions that revolutionize traditional finance processes and enterprise workflows across global operations. 

Partner with purpose: You're excited to mentor teams, collaborate with global stakeholders, and use AI to drive measurable business outcomes across finance, operations, and technology departments. 

Passion for people: You understand that AI's true potential lies in empowering finance professionals, analysts, and business users to make faster, more informed decisions while maintaining human oversight. 

Collaborate for success: You excel in leading cross-functional initiatives, building consensus across time zones, and fostering a culture of transparency and integrity when handling sensitive financial data. 

You're a proven technical leader, comfortable with complex enterprise architectures, and excited by the challenge of scaling cutting-edge AI technologies across global business operations. 


What You'll Do: 

Within 30 Days 

  • 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 

Within 60 Days 

  • 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 

Within 90 Days 

  • 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: 

Technical Leadership: 

  • 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 

Leadership & Communication: 

  • 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 

Bonus Qualifications: 

  • 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) 

 

 

Revvity
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