AI Solution Architect

Title - AI Solution Architect

Location NY (Hybrid-3 days in a week)

Role - Full Time with SG analytics (Straive)

Experience level - 8+yrs

Skill required - agentic frameworks, AI/ML Architect, Azur cloud, Azure OpenAI Service, including GPT models, prompt engineering, and fine-tuning, Azure AI Search, including vector search, semantic search, Azure Databricks

JOB DESCRIPTION

We are seeking an AI Solution Architect who will serve as a lead developer, designing and implementing the technical architecture that powers client’s intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm.

What Work You Will be Responsible For:

● Ensure seamless integration across the platform’s Data Management, Governance, AI, Agents and Application layers.

● Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

● Lead technical development of the Client’s AI Agent Workforce.

● Design agentic frameworks supporting initiation, execution, state management, logging, and error handling

● Ensure adherence to data governance policies and responsible AI practices

Basic Qualifications:

● Bachelor’s degree in computer science, Engineering, Data Science, or related technical field

● Master’s degree preferred (Computer Science, AI/ML, or MBA with technical focus)

● 8+ years of software development experience with 4+ years in AI/ML architecture role

● 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions

Must-Have Skills

● Strong hands-on expertise with Microsoft Azure AI Foundry and the broader Azure AI services ecosystem.

● Proven experience with Azure OpenAI Service, including GPT models, prompt engineering, and fine-tuning.

● Experience implementing Azure AI Search, including vector search, semantic search, and knowledge mining use cases.

● Hands-on experience with Azure Databricks for data engineering and machine learning model development.

● Proficiency in at least one programming language such as Python, C#, JavaScript/TypeScript, or SQL.

Good-to-Have Skills

● Experience with Azure Machine Learning, including MLOps, model deployment, monitoring, and lifecycle management.

● Familiarity with Azure Cognitive Services, such as Document Intelligence, Language Understanding, and Computer Vision.

● Working knowledge of AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.

● Exposure to vector databases such as Azure Cosmos DB, Pinecone, or Weaviate.

● Experience with DevOps and MLOps practices, including Azure DevOps, GitHub Actions, Docker, and Kubernetes.