Principal Solutions Architect

Maven AGI • Boston, MA

1d

About The Position

Maven AGI is an enterprise AI platform focused on customer service. Founded in July 2023 by executives from HubSpot, Google, and Stripe, Maven develops conversational AI agents capable of delivering accurate, autonomous support at scale. The platform unifies systems, integrates knowledge and personalization, and enables intelligent actions without costly system changes. The company aims to handle complex tasks, allowing people to focus on creative problem-solving and relationship building. Maven is scaling from bespoke AI agent deployments to repeatable enterprise implementations, requiring a Principal Solutions Architect to de-risk technical architectures, guide production launches, and convert field learnings into reusable platform capabilities. This role is customer-facing and requires technical leadership, rapid prototyping, data validation, executive communication, and deep technical understanding of integrations, data flows, observability, privacy, and fallback behavior.

Requirements

• 7+ years in Solutions Architecture, Applied Engineering, Forward Deployed Engineering, Sales Engineering, or equivalent customer-facing technical leadership for enterprise SaaS, data, ML, or AI products.
• Track record of taking complex enterprise technical solutions from discovery or POC into production.
• Strong system design skills across APIs, event-driven systems, data modeling, identity/consent flows, latency, throughput, reliability, and observability.
• Practical AI/LLM depth: RAG, tool use/function calling, prompt and retrieval evaluation, safety guardrails, agent orchestration, and quality measurement.
• Hands-on technical fluency in TypeScript/Node, Python, or similar (ability to prototype, review code, debug integrations, and reason through implementation trade-offs).
• Excellent written, verbal, and visual communication skills, including leading security reviews, producing clear architecture diagrams, and presenting trade-offs to executives.
• Builder mindset; desire to help create the Solutions Architecture function.

Nice To Haves

• Contact center / CCaaS experience with platforms like Genesys, Five9, NICE, Twilio, or Amazon Connect.
• Depth with Zendesk, Salesforce Service Cloud, ServiceNow, or similar customer support systems.
• Experience in regulated or complex data environments (e.g., financial services, healthcare, gaming, marketplaces, franchise businesses).
• Experience at a frontier AI company, FDE-style company, data/ML platform company, high-growth SaaS company, or as a technical lead on complex enterprise AI programs.
• Prior experience building a technical function from zero to one.

Responsibilities

• Own pre-SOW technical validation, partnering with Sales, Engagement, and Solutions Engineering to assess platform fit, integration complexity, data/security constraints, FDE effort, and implementation risks.
• Design production-grade AI agent architectures for multi-channel systems (voice, chat, email, SMS), including integrations with CCaaS, CRM, data warehouse, identity, and internal knowledge systems. Define data contracts, tool/action patterns, observability, privacy boundaries, fallback behavior, and acceptance gates.
• Guide Forward Deployed Engineers (FDEs) through architecture decisions, edge cases, CI/CD, evaluations, monitoring, rollback plans, and launch readiness, owning technical direction and architecture quality.
• Convert strategic deployments into reusable assets such as reference architectures, integration templates, eval harnesses, implementation checklists, demo baselines, or product requirements.
• Lead architecture reviews, security reviews, roadmap sessions, and technical deep dives with VP/C-level sponsors, security teams, and staff engineers, making trade-offs clear for both executive and technical audiences.
• Identify repeated customer needs and implementation gaps, partnering with Product and Engineering to translate field patterns into roadmap inputs, reusable platform capabilities, and core product improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed