Principal Architect - Generative AI

Key Responsibilities :

- Define and own the end-to-end architectural blueprint for the SOAC platform across all modules.

- Establish engineering standards, design patterns, API contracts, and data models platform-wide.

- Lead architectural reviews, drive trade-off decisions, and ensure alignment across module leads.

- Partner with the Engineering Manager to translate product requirements into scalable technical strategy.

- Evaluate and select foundational technologies: LLM providers, graph databases, orchestration frameworks, and cloud infrastructure.

- Oversee integration architecture between Context Graph, Event Orchestrator, Connectors, and Agent Development subsystems.

- Provide technical mentorship to Technical Architects and AI Tech Leads.

- Establish observability, security, and compliance standards for an AI-native SDLC platform.

- Engage with executive stakeholders to communicate architectural direction and roadmap risks.

- Drive proof-of-concepts for emerging AI/ML capabilities and evaluate their production readiness.

Required Qualifications :

- Deep expertise in designing large-scale distributed systems, microservices, and event-driven architectures.

- Hands-on experience with LLM-based systems, RAG pipelines, knowledge graphs, or AI agent frameworks.

- Proficiency with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes).

- Experience with graph databases (Neo4j, Amazon Neptune) and vector stores (Pinecone, Weaviate).

- Strong background in API design (REST, GraphQL, gRPC) and messaging systems (Kafka, RabbitMQ).

- Proven ability to lead architecture across multiple concurrent engineering teams.

- Excellent written and verbal communication skills for both technical and executive audiences.

- Experience in retail, e-commerce, or enterprise SaaS platform engineering is a strong plus.

- Familiarity with SDLC automation, DevOps pipelines, and CI/CD best practices.