27 days ago
Base Salary
$180k - $235k/yr
Responsibilities
- Validate platform fit, integration complexity, data and security constraints, FDE effort, and implementation risks before strategic SOWs are finalized.
- Design reference architectures for multi-channel AI-agent systems spanning voice, chat, email, and SMS.
- Define data contracts, tool and action patterns, observability, privacy boundaries, fallback behavior, and acceptance gates.
- Guide Forward Deployed Engineers through architecture decisions, edge cases, CI/CD, evaluations, monitoring, rollback plans, and launch readiness.
- Create reusable deployment assets such as reference architectures, integration templates, evaluation harnesses, implementation checklists, demo baselines, and product requirements.
- Lead architecture reviews, security reviews, roadmap sessions, and technical deep dives with executives, security teams, and staff engineers.
- Partner with Product and Engineering to turn recurring customer needs and implementation gaps into roadmap inputs and platform capabilities.
Requirements
- 7+ years of experience in Solutions Architecture, Applied Engineering, Forward Deployed Engineering, Sales Engineering, or equivalent customer-facing technical leadership for enterprise SaaS, data, ML, or AI products.
- Demonstrated experience taking complex enterprise technical solutions from discovery or proof of concept into production.
- Strong system design skills across APIs, event-driven systems, data modeling, identity and consent flows, latency, throughput, reliability, and observability.
- Practical AI and LLM experience with RAG, tool use or function calling, prompt and retrieval evaluation, safety guardrails, agent orchestration, and quality measurement.
- Hands-on technical fluency in TypeScript/Node, Python, or similar for prototyping, code review, integration debugging, and evaluating implementation trade-offs.
- Excellent written, verbal, and visual communication skills, including leading security reviews, creating architecture diagrams, and presenting trade-offs to executives.
- Builder mindset and interest in creating a Solutions Architecture function from zero to one.
- Preferred experience with contact-center or CCaaS platforms such as Genesys, Five9, NICE, Twilio, or Amazon Connect.
- Preferred experience with Zendesk, Salesforce Service Cloud, ServiceNow, or similar customer-support systems.
- Preferred experience in regulated or complex data environments, frontier AI companies, FDE-style companies, data or ML platform companies, high-growth SaaS companies, or complex enterprise AI programs.
Tech Stack
Categories
Forward DeployedSolutions Engineering
About Maven AGI
Maven AGI builds enterprise AI agents and a platform that automates customer support and other customer-journey workflows for large companies. It sells enterprise software that connects to a company’s systems to converse with users, take actions, and resolve issues across support, sales, and operations. Founded in 2023 and headquartered in Boston, it is used by organizations such as Tripadvisor, Clio, and SS&C Technologies.