AI Solution Software Engineer (Senior)

Soho Square Solutions is seeking a Senior AI Solution Software Engineer to architect and develop AI-enabled applications. The role involves building full-stack web applications integrated with Azure AI services and ensuring the security and compliance of AI solutions.

Responsibilities:

• Architect and develop AI-enabled applications leveraging LLMs, ML models, GenAI, RAG/GraphRAG, and NLP/NLM techniques
• Build full-stack web applications integrated with Azure AI services, ensuring secure, scalable, and resilient solutions
• Design and implement secure and managed data connectors and integrations for AI applications
• Ensure security, compliance, and stability of our AI solutions working in conjunction with cyber security, risk, and IAM teams
• Document architecture, workflows, and best practices; contribute to internal learning and knowledge sharing
• Ensure production readiness: scalability, resiliency, monitoring, and operational handoff to IT and Support teams

Requirements:

• 8+ years in software engineering, with at least 3 years in applied AI solution delivery
• Proven experience with Azure AI platform (OpenAI, AI Studio/Foundry, Cognitive Search), Azure Functions, and Claude Code
• Strong proficiency in Python, TypeScript, and C#; experience with full-stack frameworks and RESTful APIs
• Expertise in GitHub Enterprise, GitHub Copilot, VS Code, and CI/CD pipelines
• Deep understanding of data security, governance, and compliance in enterprise environments
• Knowledge of vector databases, data science models, and UX for AI-driven applications
• 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)
• Experience in knowledge-engineering and working with domain experts to build software that transforms and legacy processes
• Experience working in high-compliance environments (Healthcare, Finance) and deep familiarity with security processes
• Experience leading a team / working with outsourced engineers and influencing roadmaps
• Experience with Dataverse, Fabric, and other similar technologies
• Experience developing AI solutions in financial or highly regulated industries