Principal AI Engineer
No salary listed
Expert
Bachelor's, Master's
Hyderabad, Telangana, India
HybridHybrid in India, with 3 days in-office per week.
AI & Machine LearningNatural Language Processing & LLMs
About the job
Requirements
- At least 10 years of software engineering experience, including at least 5 years in AI/ML, and experience architecting and shipping production AI systems.
- Expertise in system design, including multi-agent architectures, ML platforms, or large-scale inference systems.
- Deep expertise with Azure and the Microsoft AI stack, including Azure ML, AI Foundry, Semantic Kernel, and .NET agent frameworks.
- Proficiency in Python for machine learning and data work and .NET/C# for agent runtimes.
- Experience with production-scale LLM systems, including prompt management, retrieval-augmented generation, content safety, and agentic workflows.
- Experience using Claude Code, Cursor, or an equivalent tool to achieve AI-first development velocity.
- Deep experience architecting modern .NET cloud-native platforms, including API-first service design, distributed systems, Kubernetes deployment, gateway integration, and CI/CD governance.
- A bachelor's degree in Computer Science, AI/ML, Mathematics, or a related technical field is required.
Responsibilities
- Design the full AI platform, including multi-agent orchestration, ML inference infrastructure, an LLM gateway, tool registry, and evaluation and observability stack.
- Write Architecture Decision Records that establish the organization's technical direction.
- Make build-versus-buy decisions, evaluate emerging frameworks such as A2A, MCP, and Visa TAP, and define integration patterns.
- Design system-level concerns, including authentication gating, policy enforcement with OPA, API gateway patterns with 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.
- Partner with Product and the CTO office to translate business objectives into AI technical strategy.
- Identify where AI can create differentiated value, including predictive models, conversational agents, and intelligent automation.
- Evaluate and de-risk emerging technologies, and present AI capabilities, costs, and competitive positioning to executive leadership.
- Define the AI FinOps strategy, including token metering, model routing for cost optimization, quota management, and budget forecasting.
- Establish platform decision rules for implementing AI capabilities as .NET services, Python services, Azure ML pipelines, background jobs, or embedded product workflows.
- Define and enforce the Responsible AI framework, including content safety guardrails, PII governance, bias testing, and audit trails.
- Ensure AI systems meet PCI DSS, SOC 2, and emerging AI regulation requirements.
- Establish model validation and governance processes covering transparency, explainability, and fairness.
- Build trust infrastructure to support confident AI deployment in regulated financial services.
- Ensure agents and models comply with global financial regulations and internal compliance standards.
- Write production code, review critical pull requests, debug complex agent interactions, and prototype new capabilities.
- Set standards for code quality, testing discipline, and documentation through example.
- Use Claude Code and AI accelerators daily, and build custom skills, MCP integrations, and automation workflows.
- Raise AI engineering standards across the organization through design reviews and pairing on complex problems.
- Train the team on Claude Code workflows, custom skills, and agentic tooling.
- Define engineering standards, evaluation criteria, and best practices that scale beyond the direct team.
Desired Qualifications
- Experience in fintech or payments architecture, including PCI DSS, SOC 2, or regulated AI.
- Experience with agentic commerce and A2A, including Google A2A, MCP, or Visa TAP.
- A technical leadership track record, including mentoring teams, ADR processes, or C-level presentations.
- Experience with omnichannel and voice AI, including web chat, voice, SMS, or Azure Communication Services.
- Experience in ML platform engineering, including model registries, feature stores, or drift detection.
- Published or open-source contributions in AI/ML.
- A master's degree is preferred.
About the company
InvoiceCloud provides a cloud-based electronic bill payment platform that helps utilities, insurance companies, and government agencies offer online payment options. The platform plugs into clients’ existing billing systems, enabling customers to view bills and pay them online, which simplifies complex payment processes and improves digital interactions. It works by integrating with billing data, offering customers a seamless payment experience via online channels, and charging clients through subscriptions, per-transaction fees, and value-added services. Compared to competitors, InvoiceCloud emphasizes easy integration with current billing systems and a focus on a broad set of public and private sector clients to boost e-payment adoption and customer engagement. The company’s goal is to help clients increase customer satisfaction and financial results by making payments faster, easier, and more convenient.
Company Size
501-1,000
Company Stage
IPO
Headquarters
Braintree, Massachusetts
Founded
2009
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Simplify's Take
What believers are saying
- April 2026 AI-powered Billing Experience adds predictive insights, guided workflows, and reconciliation automation.
- July 2026 BlitzenX and CentralSquare deals open P&C insurance and public-sector cross-sell.
- March 2026 plan to hire 150 technology and product staff signals aggressive product investment.
What critics are saying
- 2025 breach exposed payment-card data, and litigation plus customer churn now threaten renewals.
- Hansen, CentralSquare, and Guidewire reduce switching costs, letting incumbents bundle payments by 2027.
- If AI launches miss accuracy or compliance, regulated buyers will rip out InvoiceCloud.
What makes InvoiceCloud unique
- InvoiceCloud's EBPP platform spans utilities, insurance, and government, with 3,250 customers across North America.
- Guidewire Premier tier since September 2025 proves insurer workflow depth and integration credibility.
- August 2026 Hansen and CentralSquare alliances embed InvoiceCloud inside billing systems, not standalone portals.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- 401(k) Retirement Plan
- 401(k) Company Match
- Unlimited Paid Time Off
- Mental Health Support
- Parental Leave
- Tuition Reimbursement