Jobot is looking for Manager, AI Strategy & Enablement in Houston, TX. This local job opportunity with ID 3697000248 is live since 2026-06-02 02:55:54.

Lead enterprise-wide AI innovation, build cutting-edge Copilot and Generative AI solutions, influence executive strategy! Lucrative bonus structure, relocation package, outstanding benefits, and unmatched career growth opportunities!

This Jobot Job is hosted by: Sierra Johnson
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $150,000 - $170,000 per year

A bit about us:

We're a nationally recognized industry leader with thousands of employees, a rapidly growing technology organization, and a bold vision for the future. Innovation isn't a buzzword here—it's a business priority. As we accelerate our investment in Artificial Intelligence, automation, and digital transformation, we're looking for leaders who want to build, innovate, and leave a lasting mark on an enterprise operating at significant scale.

Why join us?

• Competitive compensation package + annual bonus
• Sign-on bonus and robust relocation assistance
• High-visibility role with executive exposure and significant growth potential
• Make a measurable impact across a large-scale national enterprise
• Outstanding benefits, 401(k) match, PTO, and career development opportunities
• Help shape the future of AI strategy and adoption across the organization

Job Details

We are seeking an experienced AI leader to drive the development, governance, and adoption of Artificial Intelligence solutions across a large enterprise environment. This individual will serve as a strategic advisor and technical leader, helping business stakeholders identify high-value use cases, designing scalable AI solutions, and establishing governance frameworks that ensure responsible and effective AI adoption. This role combines hands-on technical expertise with strategic leadership and cross-functional partnership. The ideal candidate will have experience building AI agents, deploying enterprise-grade generative AI solutions, implementing RAG architectures, and driving AI transformation initiatives that deliver measurable business outcomes.

Responsibilities:

• Design, configure, and deploy custom AI agents using Microsoft Copilot Studio, Azure AI Studio, Azure OpenAI, and related Microsoft AI technologies
• Develop agent workflows, integrations, and enterprise AI solutions leveraging APIs, enterprise data sources, and automation platforms
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) architectures grounded in enterprise data
• Evaluate emerging AI technologies and platforms, including both Microsoft and non-Microsoft solutions, to support business objectives
• Partner with business leaders to identify AI opportunities, assess use cases, and prioritize initiatives based on value and feasibility
• Serve as the primary intake and evaluation point for enterprise AI initiatives
• Collaborate with Enterprise Architecture and technology leadership to develop and maintain an enterprise AI roadmap
• Establish standards, best practices, and governance frameworks for AI development and deployment
• Partner with Information Security, Legal, Compliance, and Technology teams to ensure responsible AI usage and adherence to governance requirements
• Implement controls related to data privacy, model access, prompt security, cost management, and risk mitigation
• Design performance measurement frameworks to monitor AI adoption, effectiveness, accuracy, ROI, and ongoing optimization opportunities
• Promote AI awareness, education, and best practices throughout the organization
• Serve as a trusted advisor to executives and business leaders regarding AI strategy, capabilities, and transformation opportunities

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, Data Engineering, or a related technical field required
• 5+ years of experience in Artificial Intelligence, Machine Learning, Data Engineering, Enterprise Platforms, or related technical disciplines
• 2+ years of hands-on experience building AI agents, intelligent automations, or advanced AI-enabled business solutions
• Demonstrated success delivering production AI solutions that solve business challenges and generate measurable outcomes
• Experience partnering with business leaders, enterprise architecture teams, and information security organizations within a governed enterprise environment
• Experience supporting large, complex, multi-site organizations preferred

Strong expertise with Microsoft AI technologies, including:

• Copilot Studio
• Azure OpenAI Service
• Azure AI Studio
• Power Platform (Power Automate, Power Apps)

Experience with enterprise integrations including:

• APIs
• SQL
• Dataverse
• SharePoint
• Data lakes and modern data platforms
• Advanced prompt engineering expertise with a focus on improving response quality and reducing hallucinations
• Proven experience implementing Retrieval-Augmented Generation (RAG) architectures
• Familiarity with alternative AI platforms such as Anthropic Claude, Google Gemini, open-source LLMs, or similar technologies
• Strong understanding of AI governance, security, compliance, and risk management principles
• Excellent communication skills with the ability to translate complex technical concepts into business-focused recommendations

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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