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Evolver

Solutions Architect

Palo Alto, CA; New York; Palo AltoUnited States
Staff · Engineering
POSTED 6 JANVERIFIED 7H AGO
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Pay · market
$205k–$284k
p25–p75 · n=764
Open for
301d
since 6 Jan
H-1B · FY26
4
1 PERM
Hiring · 30d
16
0 net · open roles
TypeScriptPythonAWSGCPAzureSQLLLMs

About Us

We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.

As we expand our customer base, we are building a world-class forward-deployed engineering team that works directly with customers to implement, integrate, and operationalize our platform in complex enterprise environments.

Role Overview

We are looking for a Solutions Architect who excels at hands-on technical work, customer interaction, and real-world problem solving. FDEs at Evolver own the technical relationship from the PoCs: demonstrating ARIA capabilities against a customer's curated use cases, then carrying that same technical relationship through implementation, go-live and expansion. in their environment. You will also sit with process owners and security teams to translate a live business function into ARIA: what ships as-is, what needs configuration, what needs an integration, and what's a real product gap to escalate instead of hacking together in field.

You work closely with a Strategic Engagement Lead and the Product team. You facilitate the integrations and, where needed, build custom connectors and scripts that land the account; lasting capability is written up for the Platform, not maintained as a private fork.

Key Responsibilities

Customer-Facing Engineering

  • Work directly with enterprise customers to deploy and configure ARIA in their production environments.
  • Serve as the hands-on technical expert from pre-sales PoC through discovery, onboarding, integration, value realization, and expansion.
  • Break business requirements into ARIA capabilities and explicit non-goals that Product can execute.
  • Design and run PoCs that demonstrate ARIA capabilities against curated, customer-specific use cases.
  • Showcase ARIA at board, control-owner, and engineer altitude without changing the facts.
  • Troubleshoot issues in real time, owning them through resolution and escalating to Platform Engineering with a diagnosis.

Integration & Implementation

  • Facilitate integrations between ARIA and customer systems of record, APIs, warehouses, document corpora, authentication frameworks, and enterprise workflows.
  • Build custom scripts, connectors, or mappings in Python where needed to land a PoC or an account — then retire or productize them rather than running a shadow codebase.
  • Design and land deployments (identity, network, data residency, entitlements).
  • Map structured and unstructured sources into a governed solution, and know when a generative path is the wrong tool.

Product & Platform Contribution

  • Gather customer feedback and turn real-world use cases into product insights — not a private feature branch.
  • Collaborate with Platform Engineering to reproduce issues, validate fixes, and enhance stability.
  • Contribute improvements to deployment tooling, automation, and documentation.
  • Tell the truth in pre-sales and scoping about what is shipped versus what is still a prototype (on the roadmap).

Operational Ownership

  • Develop playbooks, checklists, migration guides, and integration best practices.
  • Help establish repeatable, scalable processes for future deployments as we grow.
  • Partner with Strategic Engagement Leads and assist on technical scoping, feasibility, and success criteria.
  • Leave architecture artifacts (solution brief, data map, environment diagram) that another FDE or a Platform Engineer can pick up cold.

Experience

  • 6+ years in software engineering, solutions architecture, implementation engineering, or forward-deployed roles.
  • Experience working directly with enterprise customers in technical engagements — including at least one production go-live.
  • Hands-on experience deploying or integrating systems on a major cloud provider (Azure, AWS and GCP).
  • Strong Python experience in production contexts; SQL and comfort reading TypeScript / Platform code are a plus.
Source · EvolverFirst seen 2 NovOriginal ↗