Job Opportunities API

About InvoiceCloud :  InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit  InvoiceCloud.com .    About InvoiceCloud InvoiceCloud is the leading digital payments platform for utilities, insurance carriers, municipalities, and financial institutions. We enable billers to present bills digitally and collect payments across every channel — driving digital adoption, reducing costs, and improving the customer experience. With 3,000+ billing organizations, 240M+ invoices, and $38B+ in annual payment volume, we're investing heavily in AI to transform from a best-in-class payments processor into a Billing Intelligence Platform. About the Role We're building a shared AI platform that powers the next generation of our product portfolio — multi-agent orchestration, ML scoring infrastructure, and LLM-powered intelligence products. As Principal AI Engineer, you'll architect this platform, set the technical direction, and define the engineering standards that the organization builds against. This is a hands-on technical leadership role — not a management position. You set architectural direction and write production code every day. You think in ADRs, trade-off matrices, and failure modes. You use Claude Code and AI accelerators to operate at 3–5x speed, and you teach the team to do the same. Your work directly shapes a growing AI product portfolio. The platform you architect becomes the shared foundation — every subsequent product launches faster because of the infrastructure decisions you make now. You'll be based in India, working hybrid (3 days in-office per week), and will report to the VP of Engineering / CTO.   What You'll Do   Own AI Platform Architecture :  Design the full AI platform — multi-agent orchestration, ML inference infrastructure, LLM gateway, tool registry, and eval/observability stack Write Architecture Decision Records (ADRs) that the organization builds against Make build-vs-buy decisions, evaluate emerging frameworks (A2A, MCP, Visa TAP), and define integration patterns Design system-level concerns: auth gating, policy enforcement (OPA), API gateway patterns (Kong), and multi-tenant isolation Define reference architectures for AI-enabled services across .NET 10 APIs, Python ML workloads, React frontends, AKS deployments, Kong gateway integration, and Azure DevOps delivery pipelines   Drive Product AI Strategy :   Partner with Product and CTO office to translate business objectives into AI technical strategy Identify where AI creates differentiated value — predictive models, conversational agents, intelligent automation Evaluate and de-risk emerging technologies. Present to executive leadership on AI capabilities, costs, and competitive positioning Define the AI FinOps strategy: token metering, model routing for cost optimization, quota management, and budget forecasting Establish clear platform decision rules for when AI capabilities should be implemented as .NET services, Python services, Azure ML pipelines, background jobs, or embedded product workflows   AI Safety, Governance and Responsible AI :  Define and enforce the Responsible AI framework — content safety guardrails, PII governance, bias testing, and audit trails Ensure all AI systems meet PCI DSS, SOC 2, and emerging AI regulation requi