CrawlJobs Logo

Ai Enablement Lead

United States · Job Posted June 09, 2026
Apply Position
Job Link Share

Job Description

Provectus is the consulting partner helping enterprise companies move from 'we are exploring AI' to 'AI is how we work.' The AI Enablement Lead owns the curriculum that makes that shift stick: live sessions, skill-authoring labs, executive coaching, train-the-trainer programs, and everything in between. This is not an instructional role. It is a facilitation role inside a consulting engagement.

Job Responsibility

  • Delivery across the full enablement curriculum including Cowork 101 baseline, role-specific tracks, skill-authoring labs, executive coaching sessions, demo factory facilitation, train-the-trainer certification, community-of-practice setup
  • Connective tissue including study your work exercise, post-session briefs, maintenance of demo library and curriculum decks, contributions to enablement playbook

Requirements

  • Teaching passion
  • Public speaking
  • Developer relations or evangelism
  • Consulting posture
  • Emotional intelligence
  • Working knowledge of business software (CRM, ERP, BI, Office, productivity suites)
  • Hands-on familiarity with at least one general-purpose AI tool (Claude, ChatGPT, Copilot, Gemini, or similar)
  • Executive presence
  • Curiosity over evangelism
  • Honest unknown
  • Top-down conviction

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Ai Enablement Lead

8 matching positions

AI Enablement Lead

We are partnering with a utilities cooperation in Regional VIC (Northwest) who a...
Location
Location
Australia , Melbourne
Salary
Salary:
115162.00 - 131623.00 AUD / Year
https://www.randstad.com Logo
Randstad
Expiration Date
June 10, 2026
Flip Icon
Requirements
Requirements
  • Solid experience with SharePoint, Teams, and (ideally) Microsoft Purview
  • A background in Government, heavy regulation, or high-level Consultancy is highly regarded
  • You excel at stakeholder management
  • You might come from a Product Management, Digital Transformation, or IT Governance background
  • Strategic Thinker
  • Tech-fluent and an exceptional communicator
Job Responsibility
Job Responsibility
  • Develop the frameworks and risk assessments for safe AI adoption
  • Use Microsoft Purview to manage data classification and security labels
  • Collaborate across Cyber Security, Tech, Legal, and Data teams to align AI usage with business needs
  • Act as the Translator-in-Chief, running workshops and creating guidance to boost AI literacy across the organisation
  • Serve as the subject matter expert for SharePoint and Teams technical support and optimisation
What we offer
What we offer
  • Super
Read More
Arrow Right

AI Enablement Lead

The DTS team defines and builds the business IT architecture that supports the c...
Location
Location
United States , Mountain View
Salary
Salary:
158000.00 - 200000.00 USD / Year
waymo.com Logo
Waymo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS degree in Computer Science, or a related technical field, or equivalent practical experience
  • 5+ years of software engineering experience with a focus on building and shipping AI/ML products
  • 10+ years of professional experience across data engineering, or business intelligence disciplines
  • Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements
  • Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms
  • Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems
  • Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Strategize and define the roadmap for AI-driven solutions across business systems leveraging GCP and SaaS Ecosystems (Salesforce, SAP, Workday, ServiceNow)
  • Lead discovery and design efforts by mapping business processes, identifying high-value automation opportunities, and defining agent roles, capabilities, and governance guardrails
  • Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools
  • Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks
  • Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes
  • Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms
What we offer
What we offer
  • discretionary annual bonus program
  • equity incentive plan
  • generous Company benefits program
  • Fulltime
Read More
Arrow Right

AI Enablement Lead

We are now looking for an AI Enablement Lead to drive the adoption and effective...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
collinsongroup.com Logo
Collinson
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience working with modern AI tools, particularly generative AI
  • Experience enabling or training non-technical users to adopt new technologies
  • Experience identifying and delivering practical AI use cases in business environments
  • Experience working across business and technical teams
  • Strong communication and presentation skills
  • Ability to explain complex technical concepts in simple terms
  • Strong curiosity and passion for AI and emerging technologies
  • Ability to translate AI capabilities into practical business value
Job Responsibility
Job Responsibility
  • Drive AI Adoption Across the Organisation
  • Build AI Literacy and Capability
  • Develop Practical AI Use Cases
  • Enable Effective Use of AI Tools
  • Champion Responsible AI
  • Build an AI Community
Read More
Arrow Right

AI Enablement Lead Engineer

At RediMinds, we build AI-enabled systems that help complex industries operate b...
Location
Location
India , Gurgaon
Salary
Salary:
Not provided
rediminds.com Logo
RediMinds
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5–6 years of experience in software engineering, full-stack development, product engineering, or related technical roles
  • Strong technical background across modern web technologies, APIs, databases, cloud systems, and AI-enabled product development
  • Experience working in a startup environment or building something entrepreneurial—either as a founder, early team member, lead engineer, or technical product owner
  • Ability to lead engineering execution while staying hands-on
  • Strong understanding of product thinking: user needs, business goals, delivery timelines, and technical trade-offs
  • Comfortable working in a fast-moving environment where requirements evolve and ownership matters
  • Excellent communication skills and the ability to work closely with both technical and non-technical teammates
  • Based in Gurgaon/Delhi NCR, or willing to relocate to Gurgaon for an on-site role
Job Responsibility
Job Responsibility
  • Lead AI-enabled product development across frontend, backend, automation, data, and AI/ML integration workflows
  • Guide a growing engineering team with clarity, urgency, and compassion
  • Work closely with product, AI/ML, QA, and business teams to translate ideas into reliable, scalable systems
  • Own technical execution from requirement understanding to architecture, development, testing, deployment, and iteration
  • Support AI enablement initiatives across automation, document processing, workflow intelligence, retrieval systems, LLM-based tools, and applied AI solutions
  • Create structure in ambiguity—turn fast-moving ideas into clear tasks, working systems, and measurable outcomes
  • Mentor junior engineers and AI Enablers, helping them grow through high standards and hands-on guidance
  • Bring startup energy to the team: move fast, solve problems, learn quickly, and make things happen
What we offer
What we offer
  • Long-Term Growth: Join at a meaningful stage and grow into larger leadership responsibilities over time
  • Real Ownership: Work on products and systems that matter, not isolated tickets
  • Startup Energy with Serious Direction: Move fast, build deeply, and contribute to real business outcomes
  • Exceptional Team: Work with engineers, AI researchers, product leaders, clinicians, and strategists who care about building responsibly
  • AI at the Center: Be part of a company where AI enablement is not a side project—it is the core of what we do
  • Fulltime
Read More
Arrow Right

Lead AI Safety and Enablement Engineer

The Lead AI Safety and Enablement Engineer ensures the safe, reliable, and scala...
Location
Location
United States , Madison
Salary
Salary:
Not provided
carexconsulting.com Logo
Carex Consulting Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
  • 8+ years of experience in software engineering, ML systems, or platform engineering
  • Hands-on experience with AI lifecycle tools such as MLflow, Arize, WhyLabs, or Label Studio
  • Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP)
  • Experience developing scalable and compliant ML systems and tools
  • Strong understanding of AI risk management, governance, and observability concepts
  • Ability to collaborate cross-functionally and translate policy into technical implementation
Job Responsibility
Job Responsibility
  • Support implementation of enterprise standards for AI safety, transparency, and reliability
  • Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance
  • Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines
  • Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality
  • Collaborate with Legal, Privacy, Compliance, and Information Security teams to translate AI policies into automated controls and technical safeguards
  • Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows
  • Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices
  • Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing
  • Support and comply with Quality Management System policies and procedures
  • Uphold organizational values through accountability, innovation, integrity, quality, and teamwork
  • Fulltime
Read More
Arrow Right

AI Workforce Strategy & Enablement Lead

As the AI Workforce Strategy & Enablement Lead for Cloud Endpoints, you will wor...
Location
Location
United States , Multiple Locations
Salary
Salary:
106400.00 - 203600.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 4+ years experience in business consulting, sales, sales enablement, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience
  • 3+ years experience in in Near Term Strategy (1-2 years out), Management Consulting, or Finance
Job Responsibility
Job Responsibility
  • Cloud Endpoint Enablement Strategy: Own and execute the global enablement strategy for Windows 365 Cloud Endpoints aligned to AI Workforce business priorities
  • Translate Cloud Endpoint Go-to-Market (GTM) strategy into clear, actionable readiness plans, technical learning paths, and execution expectations for Solution Engineers (SEs)
  • Identify and address systemic field readiness gaps, driving technical skilling to improve deal quality, velocity, and customer outcomes
  • Solution Engineer Community Leadership: Lead the global Cloud Endpoint Solution Engineer community, serving as the connective layer across regions, roles, and theaters
  • Drive consistency through practice sharing, technical pattern reuse, and peer‑led learning
  • Strengthen cross‑team alignment across AIWF GTM, WW STU, Product Marketing, Engineering, and Enablement
  • Technical Readiness & Skilling Execution: Design and deliver high‑impact technical enablement including live workshops, scenario‑based learning, labs, and on‑demand content
  • Enable SEs to confidently lead Windows 365 customer discovery, architecture discussions, and value realization conversations
  • Embed real‑world customer and competitive scenarios to improve field execution quality
  • Insights, Measurement & Field Health: Establish closed‑loop listening mechanisms to capture voice of field across sellers and Cloud Endpoint SEs
  • Fulltime
Read More
Arrow Right

Lead AI Safety and Enablement Engineer

The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalab...
Location
Location
United States , Madison
Salary
Salary:
147000.00 - 250000.00 USD / Year
exactsciences.com Logo
Exact Sciences
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
  • 8 years of experience in software, ML systems, or platform engineering
  • Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio)
  • Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP)
  • Experience developing scalable and compliant ML systems and tools
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis
Job Responsibility
Job Responsibility
  • Support implementation of enterprise standards for AI safety, transparency, and reliability
  • Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance
  • Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines
  • Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality
  • Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards
  • Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows
  • Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices
  • Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing
  • Support and comply with the company’s Quality Management System policies and procedures
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
What we offer
What we offer
  • Relocation assistance provided to those not local to the area and willing to relocate
  • Paid time off (including days for vacation, holidays, volunteering, and personal time)
  • Paid leave for parents and caregivers
  • A retirement savings plan
  • Wellness support
  • Health benefits including medical, prescription drug, dental, and vision coverage
  • Bonus eligible
  • Fulltime
Read More
Arrow Right

Ai business process sales and service strategy and enablement lead

Microsoft’s mission is to empower every person and every organization on the pla...
Location
Location
United States , Multiple Locations
Salary
Salary:
130900.00 - 251900.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales enablement, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience
  • 6+ years experience in Management Consulting, Sales, Program Management, Learning & Development or Sales Enablement
Job Responsibility
Job Responsibility
  • Leverage business, industry, and technical knowledge to create a high-value sales learning path, enablement, and community for the sales organization
  • Develops and executes high-quality AI Business Process Sales and Technical skilling projects/programs across organizational boundaries, including content and live and on-demand delivery
  • Implements listening mechanisms to understand the voice of the field and considers the solution engineer’s needs when scoping learning outcomes for skilling projects
  • Ensure correct KPIs are in place to achieve the right outcomes for our customers and to measure business impact
  • Analyzes enablement outcome and customer feedback to drive continuous improvement and promote sustainable revenue and consumption growth
  • Closed Feedback Loop: Facilitation and delivery of closed feedback loop with key executive sponsors and cross-organizational partners including Engineering, Product Marketing, Worldwide Specialist Team Unit (WW STU)/Customer Success, Worldwide Learning, etc
  • Identifies, evaluates, and proposes new readiness projects based on unmet needs
  • Collaborates with internal teams (e.g., Finance, Marketing, Engineering, Field Sales) for holistic field readiness planning
  • Executive presence: advises senior leadership as a domain expert to inform planning decisions
  • Demonstrates influence through collaboration across multiple divisions
  • Fulltime
Read More
Arrow Right