AI Developer - Finance Automation & Enterprise Integration

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 E