Senior AI Enablement Engineer

Senior AI Enablement Engineer

Contract | Enterprise AI Transformation & Adoption

Position Summary

We are seeking a Senior AI Enablement Engineer to partner directly with the Chief AI Officer and business leaders to accelerate enterprise AI adoption and business transformation initiatives. This individual will serve as a trusted advisor, helping corporate functions identify, implement, and scale practical AI solutions that enhance productivity, improve employee experience, and drive measurable business outcomes. The ideal candidate combines deep hands-on experience with Generative AI technologies, business consulting expertise, and strong change management capabilities.

Key Responsibilities

• Partner with Finance, HR, Legal, Marketing, Operations, and IT stakeholders to identify and prioritize AI use cases.

• Drive adoption of enterprise AI platforms including Amazon Quick and future Microsoft Copilot initiatives.

• Conduct AI discovery workshops and help departments reimagine business processes through AI-enabled workflows.

• Develop role-based AI playbooks, best practices, training materials, and adoption strategies tailored to specific business functions.

• Serve as a trusted advisor to senior leaders regarding AI opportunities, limitations, governance, and implementation approaches.

• Guide users to the appropriate AI solution based on business need, complexity, scale, and security requirements.

• Create demonstrations, proofs of concept, and practical examples that show business value and accelerate adoption.

• Support AI change management efforts including communications, stakeholder engagement, and user enablement.

• Collaborate with data, architecture, security, and platform teams to ensure safe and responsible AI adoption.

• Measure and report on AI adoption, productivity improvements, and business impact metrics.

Required Qualifications

• 7+ years of experience in consulting, digital transformation, business technology, product enablement, or solution delivery.

• 2+ years of hands-on Generative AI experience.

• Demonstrated experience using AI tools and platforms in day-to-day business operations.

• Experience driving organizational change, user adoption, and technology enablement initiatives.

• Strong executive presence and ability to engage senior business stakeholders.

• Proven ability to translate business challenges into practical AI solutions.

• Excellent communication, facilitation, presentation, and stakeholder management skills.

• Experience leading workshops, requirements discovery sessions, and business process assessments.

Preferred Qualifications

• Experience with Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Amazon Q/Quick, AWS Bedrock, or similar platforms.

• Understanding of Retrieval-Augmented Generation (RAG), knowledge management, enterprise search, and knowledge graph concepts.

• Experience supporting enterprise AI rollout initiatives.

• Knowledge of AI governance, security, compliance, and responsible AI practices.

• Healthcare, life sciences, or other highly regulated industry experience.

• Experience working within an AI Center of Excellence (CoE) or enterprise transformation program.

Ideal Candidate Profile

The successful candidate is not a pure software engineer, data scientist, or architect. They are a hands-on AI practitioner who works with AI daily, understands both business and technology, and can confidently partner with executive leaders to identify opportunities, drive adoption, and enable successful AI transformation across the enterprise.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.