Enterprise AI Solutions Lead
About The Position
Infoblox is hiring an Enterprise AI Solutions Lead for its Enterprise AI team within IT in the U.S. The role reports to the Senior Director, Enterprise AI and serves as a trusted AI advisor to senior functional leaders across the company. The Lead translates business problems into well-defined AI opportunities, prioritizes demand, selects appropriate solution approaches, and builds solutions hands-on. The role applies AI governance, security, and risk standards from the outset and collaborates with business stakeholders, leadership, developers, Enterprise Architecture, Security, and global teams to ensure AI work addresses the right problems in the right order and manner. The position partners with leaders across business functions to identify opportunities, map processes, build business cases, and evaluate custom AI agents, enterprise platforms, SaaS capabilities, or automation. It maintains and prioritizes the AI backlog, develops prototypes and production solutions, writes solution designs and requirements, and tracks delivery outcomes and adoption. It also establishes reusable standards, templates, and patterns for intake, evaluation, and solution delivery. The role is based in the U.S. The posting identifies flexible work options and includes a hybrid job tag, but does not specify a particular onsite schedule.
Requirements
- 12 or more years of experience in business systems, solutions consulting, product management, or solution architecture, working directly with senior functional leaders.
- At least 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 and define problems, affected users, and success measures.
- Map end-to-end business processes to identify opportunities for AI to 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, such as a custom agent, enterprise AI platform, AI embedded in a SaaS application, or AI-enabled automation.
- Own prioritization of AI demand with business stakeholders and leadership, ranking requests by business value, effort, risk, and strategic fit.
- Maintain a well-prioritized backlog and make recommendations when requests compete.
- Build prototypes, AI agents, custom GPTs, Claude Projects, and automated workflows, and take solutions through to production.
- Track new AI models, agent capabilities, and vendor AI features, and bring relevant options to business stakeholders.
- Write solution designs, requirements, and acceptance criteria for developers.
- Run build, buy, or configure evaluations, weighing 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
