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AI Developer - Finance Automation & Enterprise Integration
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AI Developer - Finance Automation & Enterprise Integration

Revvity -
India

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Job details

Qualifications

CI/CD
Accounts receivable
Cloud infrastructure
Azure
Cloud architecture
Law
Accounts payable
Kubernetes
SAP
Salesforce
Financial report writing
Git
English
IFRS
SOX
Master's degree
Microservices
AWS
Project management
Docker
Presentation skills
Machine learning
JavaScript
SAP Finance & Controlling
GAAP
Continuous integration
Forecasting
Scrum
GitHub
SAP S/4HANA
APIs
ETL
Agile
IT
Budgeting
AI
TypeScript
Communication skills
Banking
Python

Full job description

Revvity

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)

Apply Now

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