Senior AI Engineer
Backend Developer
Senior
Artificial Intelligence
Azure
Azure Ai
Azure Ai Search
Azure Ai Services
Azure Openai
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Generative AI
Generative Ai Engineer
Information Technology (IT)
Microsoft Azure Ai Foundry
Openai
Software Development
SQL
Job Description
Build AI-powered compliance capabilities on Azure as an individual contributor with NewVision Softcom & Consultancy. This onsite role in San Francisco, CA focuses on hands-on development of an AI-driven compliance platform supporting investment and tax-related workflows. You will design and deliver solutions that ingest, classify, extract, standardize, and process client data across the Microsoft Azure ecosystem using Python and Azure AI services.
Responsibilities
- Design, develop, and implement AI-powered compliance solutions using Python and Azure services.
- Build data ingestion and transformation pipelines to process client information end to end.
- Create workflows to classify, extract, standardize, and enrich data using Azure AI services.
- Implement and maintain Azure Functions for event-driven, serverless processing.
- Integrate AI services and business workflows with downstream compliance systems.
- Map client data into standardized internal schemas and data models.
- Develop REST APIs, microservices, and workflow orchestrations to support complete processing.
- Maintain high code quality through testing, debugging, optimization, and code reviews.
- Collaborate with architects, AI engineers, and business stakeholders to align technical delivery with compliance needs.
- Support integration of processed outputs into tax data warehouses and compliance platforms.
Requirements
- 5+ years of hands-on Python development experience.
- Strong experience building scalable backend applications, APIs, and services with 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.
Technologies
- Python
- Azure AI Services
- Azure OpenAI
- Azure AI Foundry
- Azure AI Services / Cognitive Services
- Azure Functions
- Microsoft Azure
- REST APIs
- Microservices
Good to Have
- Experience with AI/LLM-based application development and orchestration.
- Experience in document processing, information extraction, and classification.
- 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 working on compliance, regulatory, governance, or audit-related solutions.
- Familiarity with monitoring, logging, and observability in Azure.
Nice to Have
- 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/services in a single business workflow.
- Familiarity with investment management or tax filing workflows.
- Exposure to serverless and cloud-native architecture best practices.
Behavioral Requirements
- Strong ownership mindset with the ability to drive deliverables independently.
- Hands-on developer who enjoys coding and solving technical problems.
- Excellent analytical and troubleshooting skills.
- Ability to work effectively in a remote and distributed team environment.
- Strong verbal and written communication skills.
- Collaborative approach across technical and business teams.
- Adaptability to evolving requirements and emerging AI technologies.
- Prioritizes quality, maintainability, and scalability.
- Results-oriented with a focus on delivering business value.
- Self-motivated learner who stays current with Azure AI and Generative AI advancements.