Job Title: AI Architect with .NET Experience
Location : Fort Mill SC/ New York NY (Hybrid)
Experience
15+ years of overall IT experience, with 6-7+ years in AI/ML architecture, cloud architecture, or digital platform engineering.
Job Summary
We are looking for an experienced AI Architect with a strong background in Artificial Intelligence, AWS Cloud, .NET technologies, and digital platform architecture. The ideal candidate will be responsible for designing and delivering scalable, secure, and AI-enabled digital solutions across enterprise environments.
The candidate should have strong experience in translating business requirements into technical architecture and leading the development of AI-powered applications, cloud-native platforms, APIs, and modern digital experiences. Experience with Generative AI, LLMs, AI agents, and enterprise AI adoption is highly desirable.
Key Responsibilities
• Define and lead the architecture for AI-powered digital platforms and enterprise applications.
• Design scalable and secure cloud solutions using AWS services and cloud-native architecture.
• Develop AI/ML and Generative AI solution architectures aligned with business and technology objectives.
• Design and integrate LLM-based applications, AI agents, RAG solutions, and intelligent automation into enterprise platforms.
• Lead the architecture and integration of .NET-based applications and microservices.
• Design APIs, event-driven architectures, and integration frameworks for digital platforms.
• Work closely with product owners, business stakeholders, engineering teams, data teams, and security teams to define end-to-end solutions.
• Evaluate emerging AI technologies and recommend appropriate tools, frameworks, and platforms.
• Establish architecture standards, design patterns, security practices, and governance for AI solutions.
• Ensure solutions are scalable, highly available, secure, and cost-effective.
• Provide technical leadership and mentorship to architects and engineering teams.
• Lead architecture reviews and ensure alignment with enterprise architecture and technology standards.
• Support proof-of-concepts and help transition successful AI solutions into production.
Required Technical Skills
Artificial Intelligence / Generative AI
• Strong understanding of AI/ML concepts and enterprise AI architecture.
• Experience designing Generative AI solutions using LLMs.
• Knowledge of RAG, vector databases, embeddings, prompt engineering, and AI agents.
• Experience with AI/ML frameworks and platforms such as Azure OpenAI, Amazon Bedrock, OpenAI, or similar technologies.
• Understanding of responsible AI, AI security, data privacy, and governance.
AWS Cloud
• Strong hands-on architecture experience with AWS cloud services.
• Experience designing cloud-native, serverless, microservices, and event-driven architectures.
• Strong understanding of AWS security, scalability, high availability, and cost optimization.
.NET / Digital Platform
• Strong experience with Microsoft .NET / .NET Core / ASP.NET Core.
• Experience designing enterprise applications and digital platforms using C# and .NET.
• Strong understanding of REST APIs, microservices, API gateways, and distributed systems.
• Experience with frontend and digital experience platforms is a plus.
• Experience integrating AI capabilities into existing .NET applications and digital platforms.
• Knowledge of Azure DevOps, GitHub, CI/CD, Docker, and Kubernetes.
Architecture & Integration
• Experience designing end-to-end enterprise architecture and solution blueprints.
• Strong knowledge of integration patterns, APIs, event-driven architecture, and distributed systems.
• Experience with enterprise integration and third-party system integrations.
• Knowledge of data architecture, data lakes, data warehouses, and modern data platforms.
• Understanding of security architecture, identity management, authentication, and authorization.
Preferred Qualifications
• Experience in designing AI-first or AI-enabled digital platforms.
• Experience with Amazon Bedrock and Generative AI on AWS.
• Experience with LangChain, LangGraph, Semantic Kernel, or similar AI orchestration frameworks.
• Experience with vector databases such as OpenSearch, Pinecone, Weaviate, or similar technologies.
• Knowledge of MLOps, LLMOps, model deployment, and AI observability.
• Experience with enterprise architecture frameworks and architecture governance.
• Experience working in Agile/Scrum environments.
Key Competencies
• Strong architecture and technical leadership skills.
• Excellent problem-solving and analytical abilities.
• Ability to communicate complex technical concepts to both technical and business stakeholders.
• Strong stakeholder management and consulting skills.
• Ability to lead architecture decisions across multiple teams.
• Strong understanding of modern digital transformation and AI adoption.
Education
Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related field.
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