Backend AI Architect with .NET Must Have Technical/Functional Skills Core Back End Architecture • Strong experience architecting scalable, secure, and observable distributed systems, including microservices and event driven architectures. • Proven expertise defining service architecture strategies, including APIs, data contracts, and runtime platforms across multiple teams. • Deep understanding of system design fundamentals such as consistency models, caching strategies, resilience patterns, and fault tolerance. • Hands on experience with at least one major backend ecosystem: Node.js/TypeScript, Java/Kotlin, .NET, Python, or Go. • Strong background in operational excellence, including observability, performance tuning, incident response, and reliability engineering. • Experience partnering with product, security, SRE, and data teams to translate business requirements into resilient technical solutions. AI Driven & Intelligent Platform Skills • Experience integrating or developing with LLMs and Generative AI services within enterprise platforms. • Strong understanding of prompt engineering, evaluation techniques, and AI quality metrics. • Experience architecting inference systems, including routing, batching, caching, and cost optimization. • Ability to design intelligent service flows, including Retrieval Augmented Generation (RAG) and agent based architectures. • Familiarity with AI safety, governance, and responsible AI principles. • Experience developing AI powered platform components, such as intelligent API gateways, policy engines, or observability assistants. • Knowledge of AI driven analytics and telemetry for monitoring model performance and service health. Cloud, Integration & Platform Engineering • Experience with cloud platforms (AWS preferred; Azure/GCP acceptable). • Strong understanding of API gateways, service mesh, and networking fundamentals. • Hands on experience with data and streaming technologies such as SQL, NoSQL, Kafka, and Redis. • Experience with CI/CD pipelines, infrastructure as code, automated testing, and progressive delivery strategies. • Solid grounding in security fundamentals, including threat modeling, identity, encryption, and secure by default design patterns Roles & Responsibilities Back End Architecture Leadership • Architect and design enterprise scale backend platforms that are secure, highly available, performant, and cost efficient. • Define and govern service architecture standards, API contracts, and runtime patterns across development teams. • Drive technical decisions that balance innovation, maintainability, operability, and long term platform health. • Mentor and guide engineering teams in implementing services, APIs, and shared platform capabilities. AI Augmented Platform Architecture • Define and implement AI augmented backend architectures, including inference aware service patterns and model serving strategies. • Integrate LLMs and GenAI capabilities into customer facing features and internal platforms. • Establish spec driven development workflows leveraging AI to improve developer productivity and quality. • Partner with Data Science, ML Engineering, and Product teams to operationalize models with strong SLAs, security, and cost controls. • Evaluate emerging AI frameworks and align solutions with enterprise standards and governance models. Developer Experience & Engineering Excellence • Champion Developer Experience (DevEx) by improving local development tooling, CI/CD quality gates, and test automation. • Establish best practices for coding standards, secure development, performance optimization, and reliability engineering. • Promote observability first design using logs, metrics, traces, and AI assisted insights. Generic Managerial Skills, If any • Strong stakeholder management with the ability to communicate effectively at executive, product, and engineering levels. • Proven experience leading large, matrixed, multi-vendor teams. • Ability to balance strategic vision with hands-on architectural depth. Education • Bachelors degree in computer science/engineering/information systems or similar technical area Salary Range: $130000 - $170000 a year #LI-JH1