Hi,
This is Diksha Chaudhary working with Novia Infotech. We have the below contract job opportunity with one of our direct clients and would like to check if you have any resources available. Please send across the resume of your consultants along with the contact information at the earliest to diksha.c@noviainfotech.com.
Role: Backend AI Architect (.NET)
Location: Reston, VA (100% Onsite)
Duration: 12+ Months
Description:
We are seeking a highly experienced Backend AI Architect with strong expertise in .NET, distributed systems, and AI-driven platform architecture. The ideal candidate will lead the design and implementation of scalable, secure, and intelligent backend systems, integrating Generative AI capabilities into enterprise platforms.
Key Responsibilities
1. Backend Architecture Leadership
- Architect and design enterprise-scale backend systems using microservices and event-driven architectures
- Define API contracts, service standards, and runtime patterns across teams
- Ensure systems are scalable, secure, highly available, and cost-efficient
- Mentor engineering teams and drive architectural best practices
2. AI-Augmented Platform Development
- Design and implement AI-driven backend architectures
- Integrate LLMs and Generative AI capabilities into enterprise platforms
- Build inference systems (routing, batching, caching, cost optimization)
- Implement advanced architectures like RAG (Retrieval Augmented Generation) and AI agents
3. Cloud & Platform Engineering
- Develop cloud-native solutions (AWS preferred; Azure/GCP acceptable)
- Work with API gateways, service mesh, and distributed networking
- Utilize data and streaming technologies (SQL, NoSQL, Kafka, Redis)
4. DevOps & Engineering Excellence
- Implement CI/CD pipelines and infrastructure as code
- Promote DevEx (Developer Experience) improvements
- Ensure observability using logs, metrics, traces, and monitoring tools
5. Security & Compliance
- Apply secure-by-design principles (encryption, identity, threat modeling)
- Ensure governance, compliance, and responsible AI practices
6. Collaboration & Leadership
- Partner with Product, Data Science, ML Engineering, and SRE teams
- Lead cross-functional and multi-vendor teams
- Communicate effectively with executive and technical stakeholders
Required Skills
Core Architecture
- Distributed Systems
- Microservices & Event-Driven Architecture
- API Design & Service Architecture
Backend Technologies
- Strong hands-on experience with .NET (mandatory)
- Experience with at least one additional backend ecosystem (Java, Python, Node.js, Go – plus)
AI & GenAI
- LLMs and Generative AI integration
- Prompt engineering and evaluation techniques
- Inference architecture (routing, batching, caching)
- RAG and AI agent-based systems
Cloud & Data
- AWS (preferred), Azure or GCP
- SQL, NoSQL
- Kafka, Redis
DevOps & Observability
- CI/CD pipelines
- Infrastructure as Code
- Monitoring & observability tools
Core Concepts
- System design (scalability, resilience, fault tolerance)
- Performance tuning and reliability engineering
Additional Requirements
- Strong experience in enterprise-scale platform engineering
- Excellent problem-solving and analytical skills
- Strong communication and stakeholder management skills
Preferred Skills
- Experience with AI governance and responsible AI frameworks
- Exposure to advanced observability and AI-driven monitoring
- Experience improving developer productivity and platform efficiency
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Diksha Chaudhary |
E: diksha.c@noviainfotech.com |
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