Senior AI Engineer- Data

NewVison•San Francisco, CA
•Remote

About The Position

We are seeking a Senior AI Engineer / AI Developer to build and enhance an AI-driven compliance platform supporting investment and tax-related workflows. This individual-contributor role involves designing and developing AI-powered solutions that ingest, classify, extract, standardize, and process client data through orchestrated workflows. The role requires strong coding, problem-solving, and solution-delivery skills within the Microsoft Azure ecosystem. The engineer will develop Python-based services and data pipelines, use Azure AI services and Azure Functions to enable AI-driven and event-based processing, and integrate solutions with downstream compliance systems. The role also supports mapping client data to standardized schemas and integrating processed information into tax data warehouses and compliance platforms. The position involves collaboration with architects, AI engineers, and business stakeholders.

Requirements

  • At least 5 years of hands-on Python development experience.
  • Strong experience building scalable backend applications, APIs, and services using Python.
  • Experience with Azure OpenAI, Azure AI Foundry, and Azure AI Services / Cognitive Services.
  • Strong knowledge of the Microsoft Azure cloud platform.
  • Hands-on experience with Azure Functions.
  • Experience designing and implementing AI-enabled workflows and automation solutions.
  • Understanding of data processing, transformation, and integration patterns.
  • Experience consuming and integrating REST APIs and cloud services.
  • Ability to independently design, develop, test, and deliver production-ready solutions.
  • Strong ownership, analytical, troubleshooting, communication, and collaboration skills.
  • Ability to work effectively in a remote and distributed team environment.
  • Adaptability to evolving requirements and emerging AI technologies.
  • Focus on quality, maintainability, scalability, and delivering business value.
  • Self-motivated learning and staying current with Azure AI and Generative AI advancements.

Nice To Haves

  • Experience with AI/LLM-based application development and orchestration.
  • Experience in document processing, information extraction, and classification solutions.
  • Knowledge of workflow orchestration frameworks and event-driven architectures.
  • Experience with Azure DevOps, CI/CD pipelines, and automated deployments.
  • Understanding of data warehousing concepts and structured data models.
  • Experience with compliance, regulatory, governance, or audit-related solutions.
  • Familiarity with monitoring, logging, and observability practices in Azure.
  • Experience in Financial Services, Tax, Compliance, or Regulatory domains.
  • Knowledge of Generative AI application development and prompt engineering.
  • Exposure to Responsible AI and AI Governance frameworks.
  • Experience integrating multiple AI models or services within a business workflow.
  • Familiarity with investment management or tax filing workflows.
  • Exposure to serverless and cloud-native architecture best practices.

Responsibilities

  • Design, develop, and implement AI-powered compliance solutions using Python and Azure services.
  • Build data ingestion and transformation pipelines to process client information.
  • Develop workflows to classify, extract, standardize, and enrich data using Azure AI services.
  • Implement and maintain Azure Functions for event-driven and serverless processing.
  • Integrate AI services and business workflows with downstream compliance systems.
  • Map client data to standardized internal schemas and data models.
  • Develop REST APIs, microservices, and workflow orchestrations to support end-to-end processing.
  • Ensure high-quality code through testing, debugging, optimization, and code reviews.
  • Collaborate with cross-functional teams, including architects, AI engineers, and business stakeholders.
  • Support integration of processed information into tax data warehouses and compliance platforms.
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