AI Solution Architect

Job Summary

We are seeking an AI Solution Architect to design and deliver production-ready AI integrations and agent workflows using Gemini Enterprise (Agentspace) and cloud-native platforms.

Responsibilities

• Design and deliver ingestion and action connectors, agent workflows, and integration patterns for enterprise AI platforms.
• Architect and document HLDs, LLDs, authentication flows, error handling frameworks, and non-functional requirements.
• Lead design workshops to define schema mapping, data normalization, validation rules, and action specifications.
• Build secure, resilient microservices and APIs with structured logging, retries, idempotency, and performance optimization.
• Integrate multi-agent pipelines, retrieval and embedding workflows, and context propagation mechanisms.
• Support delivery from design through development, testing, deployment, and production rollout.
• Collaborate with stakeholders to ensure secure, scalable, and reliable AI solutions.

Requirements

• 8–12 years of experience in solution architecture, cloud engineering, or enterprise integrations
• Hands-on experience with Vertex AI, Cloud Run, Cloud Functions, IAM, API Gateway, Terraform, CI/CD
• Strong knowledge of LLM integrations, RAG pipelines, embeddings, hybrid search, and agent frameworks
• Experience building production-grade microservices and secure service-to-service integrations

Qualifications

• Excellent client-facing communication skills
• Agile/Scrum experience