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AI Solutions Architect

1 month ago
United States
Full-time
Senior
AI (Artificial Intelligence)
DevOps and Infrastructure
LLM
Apply Now
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020
View All Jobs 11

Description

  • Administer enterprise AI platforms, including licenses, workspace configurations, access controls, and usage policies.
  • Design and build reusable integration patterns, configuration templates, and AI-powered assets for business teams.
  • Support the integration of AI tools into core systems such as underwriting, modeling, ledger workflows, and other internal platforms.
  • Provide hands-on technical guidance to business teams on AI use cases, implementation approaches, repository structure, and development environment setup.
  • Assess emerging AI platform capabilities and recommend adoption where appropriate.
  • Govern API connectivity between AI platforms and internal systems to ensure secure, well-documented enterprise integrations.
  • Identify and escalate risks related to AI configurations and integrations, with attention to data handling, access controls, and compliance.
  • Maintain accurate documentation of deployed tools, active pilots, and assessed capabilities for governance and audit readiness.
  • Serve as a technical advisor to both technical and non-technical stakeholders to support responsible AI adoption across the organization.

Requirements

  • Demonstrated experience administering and integrating enterprise SaaS or AI platforms at scale.
  • Track record of delivering end-to-end technical solutions in a complex organizational environment.
  • Solid understanding of how modern AI tools function, including large language models, agents, tool use, and context management.
  • Intermediate knowledge of agentic AI concepts, including agent skills, subagents, agent teams, and orchestration patterns.
  • Experience structuring codebases or development environments for use with AI coding assistants.
  • Risk-oriented mindset with the ability to proactively surface platform and integration risks.
  • Ability to engage constructively with risk, compliance, and security stakeholders.
  • Advanced communication skills for translating technical AI concepts into clear business language.
  • Excellent collaboration and stakeholder management skills across technical teams, business stakeholders, and control functions.
  • Hands-on experience building Custom AI Agents, Agentic Skills, or MCP-based integrations (preferred).
  • Familiarity with AI governance principles as applied to enterprise tool deployment (preferred).
  • Prior experience in a regulated industry, preferably financial services (preferred).

Benefits

  • Base salary range of $195,000 to $215,000 USD.
  • Annual bonus based on company and individual performance.
  • Generous benefits package.
  • Opportunity to work at a company backed by leading institutional investors.
  • Organizational commitment to inclusion and belonging.
  • Equal opportunity employer environment.

Interested in this position?

Apply directly on the company website

Apply Now

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