Backend AI Architect Job Virginia area,Minnesota USA,Software Development

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/Type Script, 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.
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.
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, No

SQL, 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.

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