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AI Solution Software Engineer

Job

Soho Square Solutions

Newark, NJ (In Person)

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/7/2026

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Job Description

AI Solution Software Engineer at Soho Square Solutions AI Solution Software Engineer at Soho Square Solutions in Newark, New Jersey Posted in about 2 hours ago.

Type:

full-time

Job Description:

Role Summary The AI Solution Software Engineer (Staff/Principal) is responsible for designing, building, and deploying AI-native enterprise software platforms and applications that transform business workflows. This role demands not only technical excellence in full-stack engineering, AI Application architecture and development, and secure enterprise integration, but also a mindset where AI is the default tool for planning, ideation, and execution. You will work end-to-end-from exploration and prototyping through production deployment-delivering measurable business impact and championing AI-native ways of working. Key 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 Required Qualifications 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). Preferred Qualifications 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.