Principal AI Engineer

InvoiceCloud

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

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. Its an award-winning purpose-driven environment where top talent thrives. To learn more .

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. With3000 billing organizations240M invoices and$38B in annual payment volume were investing heavily in AI to transform from a best-in-class payments processor into aBilling Intelligence Platform.

About the Role

Were 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 youll architect this platform set the technical direction and define the engineering standards that the organization builds against.

This is ahands-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 35x 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.

Youll be based in India working hybrid (3 days in-office per week) and will report to the VP of Engineering / CTO.

What Youll 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 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 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 requirements
  • Establish model validation and governance processes transparency explainability and fairness are non-negotiable
  • Build the trust infrastructure that enables the organization to deploy AI confidently in regulated financial services
  • Champion ethical AI principles; ensure all agents and models comply with global financial regulations and internal compliance standards

Write Code - Everyday :

  • Write production code review critical PRs debug complex agent interactions and prototype new capabilities
  • Lead by example your code quality testing discipline and documentation set the standard
  • Use Claude Code and AI accelerators daily. Build custom skills MCP integrations and automation workflows

Mentor and Multiply the Team :

  • Raise the AI engineering bar across the organization. Run design reviews pair on complex problems
  • Champion AI-accelerated development train the team on Claude Code workflows custom skills and agentic tooling
  • Define engineering standards evaluation criteria and best practices that scale beyond your direct team

Must-Have Qualifications

  • 10 years in software engineering with 5 years in AI/ML youve architected and shipped production AI systems
  • System design mastery multi-agent architectures ML platforms or large-scale inference systems
  • Azure Microsoft AI stack deep expertise Azure ML AI Foundry Semantic agent frameworks
  • bilingual Python for ML//C# for agent runtimes
  • LLM systems at production scale prompt management RAG content safety agentic workflows
  • AI-first development velocity Claude Code Cursor or equivalent at 35x speed
  • Deep experience architecting cloud-native platforms including API-first service design distributed systems Kubernetes deployment gateway integration and CI/CD governance

Nice-to-Have

  • FinTech / Payments architecture PCI DSS SOC 2 regulated AI
  • Agentic Commerce & A2A Google A2A MCP Visa TAP
  • Technical leadership track record mentored teams ADR processes C-level presentations
  • Omnichannel & voice AI web chat voice SMS Azure Communication Services
  • ML platform engineering model registries feature stores drift detection
  • Published or open-source contributions in AI/ML

Education

Bachelors degree in Computer Science AI/ML Mathematics or a related technical field required. A Masters degree is preferred but we value what youve built and the systems youve architected over credentials.

InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race color religion age sex nationality disability genetic information veteran or military status sexual orientation gender identity or expression or any other characteristic protected under applicable laws.

This commitment applies to all aspects of employment including recruitment hiring placement promotion termination layoff recall transfer leave compensation and training.

If you require a disability-related or religious accommodation during the application or recruitment process and wish to discuss possible adjustments please contact .

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For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases employees or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.


Required Experience:

Staff IC

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 Intellige...
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Invoice Cloud provides simple online electronic bill payment solutions that improve customer engagement and increase e-payment adoption. Schedule A Demo Today.

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