AI Architect with .NET Experience

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.