AI Principal Engineer

Soho Square Solutions; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Soho Square Solutions seeks a senior software engineer with deep expertise in AI-enabled delivery. You will architect and implement enterprise AI solutions on Azure, leveraging OpenAI-related tooling, cognitive search, and advanced data security practices.

The role requires strong full-stack capabilities, proficiency in Python, TypeScript, and C#, and experience with modern middleware and CI/CD pipelines. Leadership experience and healthcare/FinTech familiarity are a plus.

Qualifications

• 10+ years in software engineering, with at least 5 years in applied AI solution delivery.
• Experience with Azure AI platform including OpenAI, AI Studio/Foundry and Cognitive Search.
• Strong proficiency in Python, TypeScript, and C#, plus full-stack frameworks and HTTP-based API middleware.
• Expertise with GitHub, VS Code, and CI/CD pipelines.
• Deep understanding of enterprise data security, governance, and compliance.
• Foundational knowledge of LLM AI models, MCP, and RAG.
• Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience).

Skills

Software engineering

Applied AI

Python

TypeScript

C#

Full-stack frameworks

HTTP-based API middleware

CI/CD pipelines

GitHub

VS Code

Data security & governance

LLM basics

Education

Bachelor’s or Master’s in CS or related field

Tools

Azure AI platform

OpenAI / Claude / Copilot tools

AI Studio/Foundry

Cognitive Search

Azure Functions

Job description

• 10+ years in software engineering, with at least 5 years in applied AI solution delivery
• Experience with Azure AI platform (OpenAI, AI Studio/Foundry, Cognitive Search), Azure Functions, and one of the coding harnesses (Claude, Copilot, Codex, Windsurf, or others)
• Strong proficiency in Python, TypeScript, and C#; experience with full-stack frameworks and HTTP-based API middleware
• Expertise with GitHub, VS Code, and CI/CD pipelines
• Deep understanding of enterprise data security, governance, and compliance
• Foundational knowledge of LLM AI models, MCP, and RAG
• Demonstrated self-learning and continuous upskilling in AI tools, models, and capabilities
• Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience)

Preferred Qualifications:

• Experience in knowledge-engineering and working with domain experts to build software that transforms and legacy processes
• Experience with written specifications and/or product management
• Experience working in high-compliance, legally-regulated environments such as healthcare or finance ("FinTech")
• Familiarity with security processes and requirements
• Experience leading a team, working with outsourced engineers, providing feedback to stakeholders, and influencing technical and product roadmaps
• Experience with Dataverse, Fabric, and other similar technologies