Azure AI Solutions Architect: Generative & Agentic Systems
Straive
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Job summary
Straive is seeking an Azure AI Solution Architect in New Jersey to design and deliver generative and agentic AI solutions for production-ready deployments on Azure. You will lead end-to-end architecture from discovery to rollout, focusing on secure, scalable, and cost-efficient systems with robust governance.
You will collaborate with client stakeholders, data scientists, and engineering teams, overseeing LLM-powered pipelines, copilots, and multi‑agent orchestration to drive real business
Qualifications
- 8–12 years in software, data, or cloud architecture.
- Hands-on experience designing generative AI solutions.
- Experience delivering LLM-powered systems to production.
Responsibilities
- Design high‑level and low‑level architectures for generative AI on Azure.
- Build single- and multi‑agent systems with tools calling and orchestration.
- Develop RAG pipelines, copilots, and document intelligence solutions.
- Identify high‑value AI use cases and shape delivery roadmaps.
- Implement governance, security, privacy, and auditability controls.
- Define evaluation frameworks and monitor performance and cost in production.
- Lead pilot to production transitions with enterprise integrations.
- Optimize token usage, model routing, and capacity planning.
- Support pre‑sales with solution designs and estimates.
- Collaborate with data scientists, ML engineers, and DevOps teams to automate CI/CD.
Skills
Education
Tools
Job description
Straive is seeking an Azure AI Solution Architect in New Jersey to design and deliver generative and agentic AI solutions for production-ready deployments on Azure. You will lead end-to-end architecture from discovery to rollout, focusing on secure, scalable, and cost-efficient systems with robust governance.
You will collaborate with client stakeholders, data scientists, and engineering teams, overseeing LLM-powered pipelines, copilots, and multi‑agent orchestration to drive real business
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