Solutions Architect
Loamist
IT
Posted on Apr 22, 2026
The role
As a Solutions Architect, you will own the technical design of enterprise AI agent deployments, translating customer infrastructure landscapes into validated integration architectures, deployment topologies, and security-compliant system designs. You'll work at the intersection of Loamist's platform capabilities and customer technical environments — designing how AI agents connect to ERP systems, banking platforms, document management infrastructure, and operational workflows. This is a pre-sales and delivery architecture role: you'll engage during the sales cycle to validate technical fit, design deployment architectures, and establish integration patterns that Customer Engineers execute against.
What success looks like
- •Deployment architectures are technically sound, customer-validated, and executable — reducing delivery risk and accelerating time-to-value.
- •Integration designs account for real enterprise constraints — security requirements, data residency, system availability, and change management.
- •Pre-sales technical engagements build buyer confidence and remove technical objections from the deal cycle.
- •Reusable architecture patterns and reference designs emerge from customer engagements, accelerating future deployments.
Core responsibilities
Deployment Architecture & System Design
- •Design end-to-end deployment architectures for AI agent systems in enterprise environments — integration topology, data flows, security boundaries, and operational monitoring.
- •Map Loamist platform capabilities to customer infrastructure — ERP systems, banking platforms, document management, middleware, and identity providers.
- •Define integration patterns for agent-to-system connectivity, including API design, event-driven workflows, batch processing, and real-time data exchange.
- •Produce architecture documentation including system diagrams, integration specs, security assessments, and deployment runbooks.
Pre-Sales Technical Engagement
- •Partner with Account Executives during the sales cycle to validate technical fit, scope integration complexity, and design deployment approaches.
- •Lead technical discovery sessions with customer IT, security, and architecture teams to assess environment readiness.
- •Build proof-of-concept architectures and integration prototypes that demonstrate platform capability within customer constraints.
- •Present technical solutions to customer stakeholders — translating platform capabilities into business-relevant deployment plans.
Security, Compliance & Enterprise Readiness
- •Own technical responses to security questionnaires, vendor risk assessments, and compliance reviews during the sales and onboarding process.
- •Design deployment architectures that satisfy enterprise security requirements — SOC 2, ISO 27001, data residency, access control, and audit logging.
- •Partner with Engineering to ensure platform security posture meets the requirements of financial institutions and industrial enterprises.
- •Advise on data handling, model governance, and AI-specific compliance considerations for regulated industries.
Technical Validation & Scoping
- •Conduct technical discovery sessions with customer engineering and IT teams to assess environment readiness and identify risks.
- •Define scoping estimates, integration complexity assessments, and technical prerequisites for deployment engagements.
- •Build proof-of-concept integrations and technical prototypes when needed to validate architectural assumptions.
- •Establish technical success criteria and acceptance gates that align customer expectations with platform capabilities.
Platform Influence & Knowledge Building
- •Identify recurring infrastructure patterns across customer environments and drive platform improvements that reduce deployment friction.
- •Contribute to the MCP server-per-system architecture strategy by mapping real enterprise integration landscapes to platform abstractions.
- •Build and maintain a library of reference architectures, integration patterns, and deployment playbooks for common enterprise environments.
- •Partner with Engineering to influence API design, connector strategy, and platform extensibility based on field experience.
Required qualifications
- •5+ years in solutions architecture, pre-sales engineering, deployment architecture, or a comparable customer-facing technical role.
- •Deep experience designing integrations across enterprise systems — ERP, document management, middleware, APIs, and data pipelines.
- •Strong understanding of enterprise security and compliance requirements — SOC 2, ISO 27001, data residency, and access control patterns.
- •Ability to produce clear architecture documentation and communicate technical tradeoffs to both engineering teams and business stakeholders.
- •Experience scoping technical engagements, estimating integration complexity, and managing delivery risk in enterprise environments.
Nice to have
- •Experience with AI/ML deployment architecture — model serving, agent orchestration, retrieval systems, or LLM-powered application infrastructure.
- •Domain experience in trade finance, banking operations, supply chain, logistics, or compliance-regulated industries.
- •Familiarity with MCP (Model Context Protocol), tool-use architectures, or multi-agent system design patterns.
- •Experience with document processing pipelines, OCR systems, or structured data extraction at enterprise scale.
- •Track record of building reusable reference architectures or deployment playbooks that scale across customer engagements.
Interested in this role?
Compensation tailored based on employment model, experience, and demonstrated AI/LLM capability.