Senior Technical Solution Architect

Loop • San Francisco, CA

2h • $175,000 - $195,000 • Onsite

About The Position

Technical Solution Architects own the technical side of customer implementations at Loop, taking signed enterprise customers from scope through live production. They design how customer data enters Loop, build integrations and business rules, and lead cutovers. This AI-first engineering role involves building and operating agentic workflows for tenant configuration, rule authoring, data validation, and issue triage, as well as developing the skills, harnesses, and evaluations needed to make agents trustworthy in production. The goal is to automate prior work and take on increasingly challenging work.

The position is also a client-facing delivery role involving technical discovery with customer architects and ERP teams, committed go-live dates, and escalations from large supply chains. It sits within Loop's Solution Delivery function and partners with Implementation Managers, Customer Success, Product, and Engineering. It is distinct from Loop's Forward Deployed Engineering team, which explores zero-to-one product opportunities within Engineering.

This is an in-person position based in San Francisco, California, with an expectation of working in the office at least four days per week. Travel may be required up to 25%.

Requirements

• Use coding agents daily for real engineering work and be able to structure context and tools, determine what to delegate, verify agent output, and explain agent failure modes and mitigations.
• Have hands-on engineering experience with TypeScript or Python, SQL, and AWS cloud infrastructure.
• Have hands-on experience integrating enterprise systems such as ERPs, TMS platforms, EDI, SFTP, and APIs.
• Be able to lead technical customer calls, engage with customer architects, push back on scope, and keep difficult escalations constructive.
• Be comfortable owning outcomes with minimal oversight, including dates, go-lives, and customer outcomes.
• Thrive in a changing role and prefer automating processes over continuing to perform them manually.
• Communicate clearly in writing and in person with technical and business audiences.
• Have experience at an early-stage or high-growth company and be accustomed to wearing multiple hats.

Nice To Haves

• Deep understanding of agentic AI architecture, including multi-agent systems, tool use and MCP, context engineering, agent harnesses, evaluation frameworks and evals, prompt and skill design, guardrails, and observability for LLM-driven workflows.
• Experience shipping agentic workflows to production and operating them, including persistent agents, human-in-the-loop design, and measuring reliability over time.
• Experience owning a full customer deployment from problem to working production system in a solutions architect, forward deployed engineer, implementation, or field engineering role.
• Supply chain, logistics, freight, or transportation domain experience; freight audit, freight payment, or accounts payable experience is a plus.
• Experience with distributed systems, workflow orchestration, or data pipelines at scale.

Responsibilities

• Own technical delivery for a portfolio of enterprise customer implementations from signed scope through production go-live, working to committed dates and go-live gates and validating each implementation against real customer data before cutover.
• Lead technical discovery with customer stakeholders, translate signed scope into specific, testable requirements, make design decisions about data models, field mapping, and integration patterns, and partner with Sales and Solutions Engineering to assess feasibility and effort for non-standard requirements before signature.
• Build and operate agentic workflows for delivery by encoding implementation know-how as skills and runbooks, designing agent harnesses, and writing evaluations to verify agent correctness before production use.
• Design and build customer integrations, including EDI and carrier feeds, SFTP and API ingestion, ERP and payment-system egress, and custom parsers and transformations for real-world data.
• Configure customer tenants, including audit policies, rating and contract logic, cost allocation and GL coding rules, carrier and payee setup, and test-to-production cutover.
• Serve as the technical voice to customers when issues occur, diagnose and fix configuration issues, and provide Engineering with clean, reproducible product issues when needed.
• Share field patterns, product gaps, and tooling needs with Product and Engineering so that future implementations become more efficient.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) match
• Paid time off
• Paid holidays
• Parental leave
• Annual performance bonus may be available
• Equity may be available

What This Job Offers

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