Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4366117826&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=150 Job Description: Senior Solutions Architect / Lead Full-Stack Developer (AI Compliance & Security) Artificial Intelligence Risk, Inc. · Greenwich, CT (Remote) Easy Apply Save Save Senior Solutions Architect / Lead Full-Stack Developer (AI Compliance & Security) at Artificial Intelligence Risk, Inc. Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Kelly Sparmer 3rd Integrating High-Risk AI Securely Job poster Message About the job Company Description We make AI safe, confidential, and compliant for companies. Artificial Intelligence Risk, Inc. is an AI platform company based in Greenwich, CT, focused on managing the risks associated with artificial intelligence systems. As AI becomes increasingly foundational to business and society, organizations must proactively address security vulnerabilities, regulatory compliance, bias, and model risk. AI Risk, Inc. delivers world-class AI security, governance, risk, and compliance solutions for medium-to-large enterprises deploying AI at scale. Role Overview We are seeking a Senior Full-Stack Developer / Solutions Architect to lead the design, development, and technical direction of our AI compliance and security platform. This role combines hands-on engineering, technical leadership, and people management. You will oversee other developers, define architectural standards, and work directly with advanced AI platforms including Azure AI Foundry, Gemini, and Amazon Bedrock, building secure, compliant AI systems using Blazor Server and .NET. This is a high-impact role for a senior technologist who enjoys building, mentoring, and shaping the future of enterprise AI governance. Key Responsibilities Technical Leadership & Architecture Own the end-to-end architecture of a secure, scalable AI compliance and security platform Design and implement enterprise-grade full-stack solutions using C#, .NET, ASP.NET Core, and Blazor Server Define best practices for application security, AI governance, and compliance-by-design Lead architectural decisions across cloud, AI, data, and application layers AI & Cloud Integration Integrate and orchestrate AI services using Azure AI Foundry, Google Gemini, and Amazon Bedrock Design secure patterns for LLM usage, prompt management, auditability, and policy enforcement Implement AI risk controls including logging, monitoring, explainability, and model governance Build and maintain cloud-native solutions across Azure and AWS Development & Delivery Develop and maintain high-performance web applications and APIs Build and optimize RESTful APIs and microservices Use Entity Framework and SQL/NoSQL databases for reliable data access and persistence Ensure scalability, reliability, and performance across distributed systems Participate in hands-on coding, code reviews, and technical problem solving Team Leadership & Collaboration Lead and mentor a team of developers, setting technical direction and standards Conduct code reviews and ensure adherence to secure coding and best practices Collaborate closely with product, security, compliance, and business stakeholders Help grow the engineering team through mentorship and technical leadership Required Skills & Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience) 10–15 years of professional software development experience Deep expertise in C#, .NET, ASP.NET Core, and Blazor Server Strong full-stack development experience (backend, frontend, APIs, data) Hands-on experience with AWS and Azure cloud platforms Experience integrating AI / LLM platforms into production applications Strong understanding of AI security, compliance, governance, or risk concepts Proficiency with Entity Framework, SQL databases, and data modeling Experience designing RESTful APIs and distributed systems Solid grasp of software architecture, design patterns, and system scalability Experience with Git, CI/CD pipelines, and modern DevOps practices Excellent problem-solving, communication, and leadership skills Preferred Qualifications Experience with Azure AI Foundry, Amazon Bedrock, or Gemini Familiarity with AI risk management, regulatory compliance, or cybersecurity domains Experience with containerization and orchestration (Docker, Kubernetes) Knowledge of NoSQL databases and event-driven architectures Experience working in Agile/Scrum environments Contributions to open-source projects or demonstrable leadership in prior roles What We Offer Competitive salary and comprehensive benefits package Opportunity to lead and shape a cutting-edge AI compliance and security platform Work with advanced AI technologies and enterprise cloud architectures A collaborative, innovative environment with real-world impact on AI safety and trust Note: Only shortlisted candidates will be contacted. The interview process may include technical assessments and multiple rounds of interviews. We look forward to reviewing your application and welcoming a senior leader who is passionate about building secure, compliant, and responsible AI systems.