Senior Agent Architect
Skills
About the role
This is a U.S.-based senior agent architecture role for enterprise AI customer-conversation deployments. It suits a customer-facing solutions architect with enterprise-integration experience, API fluency, and familiarity with LLM-based conversational systems. You’ll own end-to-end architecture for integrations connecting AI agents with business systems such as CRMs, ERPs, ticketing products, and contact-center platforms.
What you’ll do
- Design full solution architectures for enterprise AI-agent deployments.
- Configure APIs and integration-platform connections across customer systems.
- Test integration reliability, architecture, and agent performance in realistic conditions.
- Advise customers and partners on deployment scope and technical decisions.
- Translate requirements into prompts and conversational flows.
- Refine conversational and voice behavior to meet customer brand standards.
- Document product capabilities and implementation practices.
What they’re looking for
- At least three years in a customer-facing enterprise role involving solution architecture, systems architecture, or enterprise integrations.
- Ability to reason across connected systems and multiple data sources.
- Experience implementing complex SaaS environments at scale.
- Knowledge of REST APIs, JSON, XML, API testing, OAuth, API keys, and JWT.
- Strong analytical, risk-assessment, and stakeholder-management abilities.
Nice to have
- Experience in conversational design, prompt engineering, or A/B testing.
- Familiarity with embeddings and LLM internals.
- Attention to nuanced conversational-agent behavior.
What’s on offer
- On-target earnings of USD 156,000 to 178,000 plus equity.
- A recruiting process that includes technical interviews and a bar-raiser round.
- Work involving GDPR, ISO, and ISO 27001-aligned data-protection standards.
Questions about this role
How much does the Senior Agent Architect role pay?
The listed on-target earnings range is USD 156,000 to 178,000, plus equity.
How much experience is required?
The posting asks for at least three years in customer-facing enterprise solution architecture, systems architecture, or integration work.
What integrations will this role work on?
The role connects AI-agent technology with systems including CRMs, ERPs, ticketing tools, and contact-center platforms.
What API skills are needed?
The posting asks for experience with REST APIs, JSON and XML, API testing, and authentication methods including OAuth, API keys, and JWT.
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