Technical Architect - Back-end development

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 * Bachelor's degree in computer science/engineering/information systems or similar technical area Salary Range: $130000 - $170000 a year #LI-JH1