Enterprise AI Solutions Lead

Infoblox•Tacoma, WA
•Hybrid

About The Position

Infoblox is hiring an Enterprise AI Solutions Lead for its Enterprise AI team in IT in Tacoma. Reporting to the Senior Director, Enterprise AI, this role advises senior functional leaders across the company and turns business problems into prioritized AI opportunities and solutions. The Lead selects appropriate solution approaches, builds solutions hands-on, and applies AI governance, security, and risk standards from the outset. The role partners with business stakeholders, leadership, developers, Enterprise Architecture, Security, and global teams to ensure enterprise AI work addresses the right problems in the right order and in the right way. The position combines business-process analysis, AI opportunity discovery and prioritization, solution design and prototyping, production delivery, and adoption. Solutions may include custom agents, enterprise AI platforms, AI capabilities embedded in SaaS applications, or AI-enabled automation. The Lead tracks AI developments, establishes reusable intake and solution practices, and measures delivery and business outcomes.

Requirements

  • 12+ years of experience in business systems, solutions consulting, product management, or solution architecture, working directly with senior functional leaders.
  • 2+ years of hands-on experience designing and building generative and agentic AI solutions with Anthropic Claude, OpenAI ChatGPT Enterprise, Glean, and Google Gemini.
  • Hands-on experience with agent-building platforms and tools such as AWS Bedrock Agents, OpenAI Agent Builder, Microsoft Copilot Studio, and Model Context Protocol (MCP) connectors.
  • Strong grasp of prompt and context engineering, retrieval-augmented generation (RAG), tool use, and AI evaluation.
  • Daily use of AI tools such as Glean, Claude, ChatGPT, Gemini, and AI coding assistants.
  • Proven experience owning a backlog and prioritizing demand across multiple business stakeholders.
  • Proven ability to run build, buy, or configure evaluations and defend recommendations to senior stakeholders.
  • Deep, end-to-end understanding of enterprise business processes across functions and how they flow across systems and teams.
  • Knowledge of AI capabilities in SaaS applications such as Salesforce, ServiceNow, Databricks, Oracle Fusion, and Microsoft 365.
  • Ability to translate ambiguous business problems into clear requirements, success metrics, and business cases.
  • Proven ability to influence across functions, build trusted relationships with VP- and C-level functional leaders, and explain AI in clear business terms.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field, or equivalent practical experience.

Responsibilities

  • Partner with senior functional leaders across Sales, Marketing, Finance, HR, Legal, Customer Support, Operations, and IT to discover AI opportunities, define problems and affected users, and establish success measures.
  • Map end-to-end business processes to identify where AI can reduce steps, handoffs, and manual effort.
  • Present AI opportunities, business cases, and results to senior functional leaders and executives and secure sponsorship.
  • Evaluate AI requests and recommend an appropriate solution approach, including custom agents, enterprise AI platforms, SaaS-embedded AI, or AI-enabled automation.
  • Own AI-demand prioritization with business stakeholders and leadership, ranking requests by business value, effort, risk, and strategic fit.
  • Maintain a prioritized backlog and make recommendations when requests compete.
  • Build prototypes, AI agents, custom GPTs, Claude Projects, and automated workflows hands-on, and take solutions through to production.
  • Monitor developments in AI models, agent capabilities, and vendor AI features and bring relevant options to stakeholders.
  • Write solution designs, requirements, and acceptance criteria for developers.
  • Run build, buy, or configure evaluations, considering cost, time to value, risk, and maintainability.
  • Apply AI governance, security, and data privacy standards early in collaboration with Security, Legal, and Enterprise Architecture.
  • Track delivery and business outcomes with business owners and use results to inform future priorities.
  • Drive adoption and change management for delivered solutions, including training and enablement for business users.
  • Establish reusable intake, evaluation, and solution standards, templates, and patterns.

Benefits

  • Comprehensive health coverage.
  • Generous paid time off.
  • Flexible work options.
  • Learning opportunities, career-mobility programs, and leadership workshops.
  • Sixteen paid volunteer hours each year.
  • Global employee resource groups.
  • Modern offices with EV charging and healthy snacks.
  • Hackathons, game nights, and culture celebrations.
  • Charitable Giving Program supported by Company Match.
  • Corporate bonus.
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