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Technical Architect
Backend AI Architect
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.
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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.
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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.
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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.
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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.Education
Bachelor’s degree
Salary Range: $130,000 - $150,000 a year
#LI-JH1
Location
Reston, VA
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
407114
Desired Skills
Artificial Intelligence
Salary Range
$130,000-$150,000 [jobDescription.year]
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[jobDescription.heading.qua] : BACHELOR OF COMPUTER SCIENCE
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