E

Evolver

Enterprise AI solutions for organizational intelligence

Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 6 years of experience 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, or GCP.
  • Strong Python experience in production contexts.
  • Fluency across data systems, including APIs, warehouses, ERPs or other systems of record, and unstructured corpora.
  • Working literacy in modern AI systems, including grounding, tools or agents, evaluation, failure modes, and auditability.
  • Experience in a regulated or high-control environment, including security review, entitlements, or change windows.
  • Bachelor’s or Master’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • Familiarity with Azure services.
  • Experience integrating software with enterprise systems, APIs, identity providers, and structured and unstructured data.
  • Solid understanding of cloud deployment models, security constraints, identity, and operational best practices.
  • Ability to write a solution architecture that other teams can execute.
  • Strong proficiency in Python.
  • Strong debugging skills, including logs, traces, and distributed troubleshooting.
  • Excellent communication with technical and non-technical stakeholders, including security and function owners.
  • Analytical problem-solving ability and scope discipline.
  • Comfort working in a fast-paced, dynamic startup culture.
  • Customer-focused approach and a strong sense of ownership.
  • Collaborative and resourceful approach, with comfort navigating ambiguity.
  • Judgment to avoid promising product capabilities that will not ship.

Responsibilities

  • Work directly with enterprise customers to deploy and configure ARIA in production environments.
  • Serve as the hands-on technical expert from pre-sales proof of concept 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 proof-of-concept engagements demonstrating ARIA capabilities against curated, customer-specific use cases.
  • Showcase ARIA to board members, control owners, and engineers while accurately representing its capabilities.
  • Troubleshoot issues in real time, own them through resolution, and escalate to Platform Engineering with a diagnosis.
  • 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 when needed for a proof of concept or customer account, then retire or productize them rather than maintaining a shadow codebase.
  • Design and implement deployments covering identity, network, data residency, and entitlements.
  • Map structured and unstructured sources into a governed solution and assess when a generative approach is unsuitable.
  • Gather customer feedback and turn real-world use cases into product insights rather than a private feature branch.
  • Collaborate with Platform Engineering to reproduce issues, validate fixes, and enhance stability.
  • Contribute improvements to deployment tooling, automation, and documentation.
  • Accurately scope pre-sales engagements by distinguishing shipped capabilities from prototypes on the roadmap.
  • Develop playbooks, checklists, migration guides, and integration best practices.
  • Help establish repeatable, scalable processes for future deployments.
  • Partner with Strategic Engagement Leads and assist with technical scoping, feasibility, and success criteria.
  • Create architecture artifacts, including solution briefs, data maps, and environment diagrams, that another forward-deployed engineer or Platform Engineer can use independently.

Desired Qualifications

  • SQL experience and comfort reading TypeScript or Platform code.
  • Depth in at least one of Finance, Tax, Risk, Internal Audit, or GRC sufficient to engage credibly with a process owner.
  • Experience working in fast-paced startup or high-growth environments.
  • Additional cloud or private-network deployment experience.

About the Company

Evolver

Enterprise AI solutions for organizational intelligence

Evolver.ai helps organizations build self-organizing intelligence to improve how they operate. It delivers enterprise AI-based solutions and consulting that are tailored to each business, combining business, technology, and AI leadership to drive organizational transformation. The product approach uses AI and technology across processes to enhance decision-making and efficiency, typically through service contracts and partnerships with client organizations. Evolver.ai differentiates itself by focusing on evolving the organization itself—its structure, workflows, and governance—through intelligent systems and expert guidance, rather than just deploying standalone tools. The company’s goal is to enable smarter, faster decisions and lasting improvements in operational efficiency across enterprises.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Evolver

See more jobs