Job ID: JOB_ID_10851
Role Overview:
We are seeking a highly experienced and innovative Principal .NET Backend Architect with a strong focus on Artificial Intelligence to join our team. This role is critical in designing and architecting scalable, secure, and observable distributed systems, with a particular emphasis on integrating AI and LLM capabilities into enterprise platforms. The ideal candidate will have a deep understanding of backend architecture, microservices, event-driven architectures, and a proven track record of defining service architecture strategies.
Key Responsibilities:
- 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.
- Architect scalable, secure, and observable distributed systems, including microservices and event-driven architectures.
- Define service architecture strategies, including APIs, data contracts, and runtime platforms across multiple teams.
- Ensure deep understanding of system design fundamentals such as consistency models, caching strategies, resilience patterns, and fault tolerance.
- Provide hands-on experience with at least one major backend ecosystem: Node.js/TypeScript, Java/Kotlin, .NET, Python, or Go.
- Maintain a strong background in operational excellence, including observability, performance tuning, incident response, and reliability engineering.
- Partner 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.
Qualifications:
- Total Experience: 12-14 Years
- Must have .NET experience.
- Proven expertise in backend architecture and distributed systems.
- Experience with AI/ML integration is highly desirable.
- Strong understanding of cloud-native architectures and DevOps practices.
Special Requirements
100% ONSITE
Compensation & Location
Salary: $150,000 – $180,000 per year (Estimated)
Location: Reston, VA
Recruiter / Company – Contact Information
Email: avdheshk8090@gmail.com
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