Backend AI Architect

Role:                   Backend AI Architect
Location:             Reston, VA or Philadelphia, PA (Hybrid)
Type:                   Full-time role with TCS (TATA Consultancy Services)

Job Description

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/Google Cloud Platform 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.

Thanks & Regards

Himanshu Shahi
VCS Digital LLC
Cell:       +1
Email:   
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