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Volante Technologies

Cloud-native PaaS for real-time payments

Principal AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 10–15+ years in software engineering is preferred.
  • 5+ years in AI/ML or Data Engineering is preferred.
  • 2+ years in Generative AI solutions is preferred.
  • Experience leading enterprise-scale AI implementations is preferred.
  • Experience mentoring engineering teams and influencing executive stakeholders is preferred.
  • Knowledge of large language models, foundation models, agentic AI, retrieval-augmented generation, fine-tuning, and prompt engineering.
  • Knowledge of AI governance and responsible AI.
  • Proficiency in Python and Java, and knowledge of distributed systems, event-driven architecture, and microservices.
  • Experience with LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel.
  • Experience with MLFlow, Azure ML, SageMaker, and model lifecycle management.
  • Knowledge of vector databases, data pipelines, and knowledge graphs.
  • Experience with Azure, AWS, Kubernetes, Terraform, and continuous integration/continuous delivery platforms.

Responsibilities

  • Define enterprise AI architecture and technology roadmap.
  • Lead design and implementation of AI platforms, AI agents, and AI-powered products.
  • Drive adoption of generative AI across software engineering, operations, and customer-facing products.
  • Establish standards for model selection, evaluation, governance, security, and observability.
  • Review architecture and provide technical direction for critical initiatives.
  • Build scalable AI platforms supporting retrieval-augmented generation, agentic workflows, Model Context Protocol integrations, multi-model orchestration, model evaluation frameworks, prompt management, and AI observability.
  • Design AI infrastructure leveraging cloud-native technologies.
  • Define coding standards and AI engineering best practices.
  • Establish AI software development lifecycle processes.
  • Drive continuous integration/continuous delivery and MLOps adoption.
  • Lead performance optimization and cost governance initiatives.
  • Evaluate emerging AI technologies and foundation models.
  • Define build-versus-buy strategies.
  • Drive proofs of concept and incubate new AI capabilities.
  • Collaborate with customers and business stakeholders to identify AI opportunities.
  • Mentor junior and senior AI engineers.
  • Conduct technical interviews and talent assessments.
  • Develop AI competency frameworks.
  • Act as a technical advisor to engineering leadership.

About the Company

Volante Technologies

Cloud-native PaaS for real-time payments

Volante Technologies provides cloud-native, real-time payment processing and data integration as a service for financial institutions. Its low-code platform uses visual modeling to design and manage financial messaging, payment workflows, and ISO 20022 migration, enabling real-time processing. It differentiates itself with end-to-end financial messaging and a payment hub on a cloud-native, low-code platform backed by experience serving large multinational banks. Its goal is to help banks accelerate digital transformation, migrate to modern payment standards, and securely process large-value transactions.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$111M
Headquarters
Jersey City, NJ
Founded
2001

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