Backend AI Architect

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: Java/ 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.

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

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.

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.

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.
Generic Managerial Skills If any
Strong stakeholder management with the ability to communicate effectively at executive product and engineering levels.
Proven experience leading large matrixed multi-vendor teams.
Ability to balance strategic vision with hands-on architectural depth.
Key Words to search in Resume
Back End Architect Distributed Systems Microservices Event Driven Architecture API Design Cloud Native AWS DevEx CI/CD Observability LLM GenAI RAG AI Agents Inference Architecture Platform Engineering