AI Solution Architect
Indexed description
Key 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.
- 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
- Excellent client‑facing communication and Agile/Scrum experience
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Job Overview
Date Posted:
05-02-2026
- Location: Bay Area- CA
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