Ai Enablement Consultant Job at LeverX

Senior AI Enablement Consultant

We are seeking an experienced Senior AI Enablement Consultant to support the est...

Location

Hong Kong , Hong Kong Island, Hong Kong

Salary:

Not provided

Oliver James

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
8+ years of relevant experience in AI, Data Science, Machine Learning, or Advanced Analytics
Ideally, experience within insurance or financial services
Proven track record delivering AI solutions in complex, multi-country environments
Strong hands-on experience with Generative AI technologies, including prompt engineering and understanding of LLM limitations & mitigations (grounding, citations, refusal, human review)
Practical experience building Agentic AI workflows with orchestration and tool integration
Strong proficiency in Python, SQL, and modern ML frameworks
Experience with GenAI-enabled software engineering to boost developer productivity
Hands-on experience with major cloud AI platforms (Azure AI Foundry, AWS SageMaker/Bedrock, GCP Vertex AI, or Databricks)
Strong leadership and stakeholder management skills

Job Responsibility

Define AI/GenAI requirements and roadmap across key functions (Procurement, HR, Finance, Technology, and others)
Monitor industry trends and emerging technologies, championing their adoption
Design and deliver technical workshops and training on GenAI, prompt engineering, and agentic AI
Lead the design, development, and deployment of AI/GenAI and advanced analytics use cases
Establish a regional AI hub/marketplace for easy access to tools and solutions
Develop an agentic AI framework including guardrails, evaluation mechanisms, reference architectures, templates, and reusable tools
Equip technical teams with modern tools, platforms, reference architectures, and best practices
Provide hands-on mentorship and technical guidance to data science teams across Asian markets
Assess and uplift data science maturity, identifying gaps and recommending actions
Support local teams in delivering AI/GenAI use cases and achieving measurable business outcomes

What we offer

HK$benefits

Fulltime

New

Ai Enablement Lead

Provectus is the consulting partner helping enterprise companies move from 'we a...

Location

United States

Salary:

Not provided

Provectus

Expiration Date

Until further notice

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

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

Fulltime

Lead AI Consultant

Softwire is looking for a Lead AI Consultant to help our clients turn the curren...

Location

United Kingdom , London; Cambridge

Salary:

Not provided

Softwire

Expiration Date

Until further notice

Requirements

Senior engineering capability: significant experience building and shipping production software, confident working across architecture, implementation, deployment, and operational support
Technical leadership and delivery ownership: lead technical direction, choose appropriate patterns, establish standards, help teams make trade-offs, ensure work scales
Practical experience applying AI in real teams: enthusiastic about bringing AI into development teams, including AI tooling to support development (coding assistants, test generation, refactoring support, documentation acceleration, internal workflows) and building products that incorporate AI/LLM features (assistants/copilots, summarisation, document understanding, semantic search/RAG, extraction, classification, decision support, workflow automation)
Strong engineering fundamentals: automated testing strategies (unit/integration/e2e), good CI/CD hygiene and code review practices, clean boundaries and readable extensible code, observability and operational readiness (logging, monitoring, failure modes)
Confidence working with AI uncertainty and risk: understand AI systems behave differently, design for predictable behaviour, graceful degradation, appropriate safeguards, explain limitations clearly and manage risk responsibly
Strong balance of AI/engineering and client skills: bridge gap between business needs and technical approaches, familiarity with current AI landscape, focus on client needs, ability to innovate
Pragmatic, product-minded, outcomes-driven approach: start with user and business outcomes, challenge whether AI is right approach, prefer simple testable production-ready solutions over fragile prototypes, build AI-enabled features teams can confidently own and improve, work iteratively with short feedback loops and continuous learning, raise capability across teams by coaching, pairing, and sharing patterns

Job Responsibility

Work hands-on within multidisciplinary teams to design and deliver AI-enabled software
Help clients make the right calls on where AI adds value (and where it doesn't)
Use, advise on, and develop AI-related features such as: intelligent search/retrieval experiences and RAG, summarisation and document comprehension at scale, context management, AI agents, MCP servers, best-practice configuration of AGENTS.md, advanced use of tools such as Claude Code and Codex, assistants and copilots embedded into workflows, classification, extraction, and decision support tooling, retraining and fine-tuning models, trade-offs between different models (including open models), calculation/forecasting of token usage, vector databases, well-formed opinions on and experience of AI-enhanced SDLCs
Set teams up for sustainable success through strong engineering practices (testing, CI/CD, observability, quality), clear system boundaries and maintainable architecture, safe and secure deployment patterns for AI components at scale, AI performance, accuracy, and reliability monitoring through evals
Coach and upskill client engineers on pragmatic, safe adoption of AI tools and techniques
Keep yourself and your team up-to-date on the latest AI techniques and technology
Contribute to Softwire's internal capability building: patterns, accelerators, reusable approaches, and a strong culture of 'learning by building'

What we offer

25 days annual leave (with option to buy and sell)
time off for company-wide morale activities
time off for charitable/CSR activities
free annual eye test
opt-in health insurance
cycle to work scheme
payroll charity donations
additional 5% of salary pension
profit share based on role and overall company performance (£8,500 – £15,250 over last three years)

Fulltime

Solution Consultant - AI & Performance Intelligence

You will be a highly confident and analytically minded individual with a data-or...

Location

United States , Austin

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

Operational or analytical experience within the hospitality sector, ideally with exposure to workforce scheduling, demand forecasting, or labour cost management
Experience working with AI or machine learning models in a professional context, including interpreting outputs and communicating findings to non-specialist audiences
Familiarity with Fourth’s solutions or comparable hospitality technology platforms is advantageous
Proven experience consulting with customers to solve complex operational problems through data-driven and technology-based solutions
Strong analytical, logical, and creative thinking skills with a meticulous attention to detail and a drive to deliver to standards of excellence

Job Responsibility

Analysing customer data to identify variances and outliers in the Ai forecasting, usage data and other Ai capabilities, i.e. Auto-scheduling, Predictive Inventory, Suggested Ordering
Applying pattern recognition techniques to interpret complex datasets, enabling accurate forecasting and scheduling recommendations tailored to each customer’s specific operating model
Interpreting AI and machine learning model outputs to ensure they are applied correctly within forecasting workflows, adapting models as new data becomes available and learning from past prediction errors
Communicating AI-generated insights and strategic recommendations to stakeholders at all levels, both internally and with Fourth Customers, translating technical model outputs into plain language that supports confident decision-making
Supporting the pre-sales cycle for Enterprise accounts by demonstrating the value of Fourth’s AI capabilities to prospective customers, working closely with commercial teams to maximise sales success and deal size
Supporting the deployment of new Ai capabilities across the Fourth solution set
working with Product to complete operational verification and wider enablement for the Services function
Collaborating with Project Management, Customer Success, and technical specialist teams at each phase of the customer journey to ensure seamless delivery and resolution of any challenges
Sharing AI analytics knowledge, methodology, and best practices across the Professional Services team, contributing to a culture of continuous improvement and innovation

What we offer

25 basic holidays with the option to grow up to 30 with service + your birthday off + bank holidays
Flexible working hours and hybrid working environments
Wellness activities
Gym subscription discounts
Laptop and equipment
Healthcare expense claim tools
Certifications
Annual meet ups
Enhanced parenting scheme
Cycle to work scheme and season ticket loan

Fulltime

Solution Consultant - AI & Performance Intelligence

You will be a highly confident and analytically minded individual with a data-or...

Location

United Kingdom , London

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

Operational or analytical experience within the hospitality sector, ideally with exposure to workforce scheduling, demand forecasting, or labour cost management
Experience working with AI or machine learning models in a professional context, including interpreting outputs and communicating findings to non-specialist audiences
Familiarity with Fourth’s solutions or comparable hospitality technology platforms is advantageous
Proven experience consulting with customers to solve complex operational problems through data-driven and technology-based solutions
Strong analytical, logical, and creative thinking skills with a meticulous attention to detail and a drive to deliver to standards of excellence

Job Responsibility

Analysing customer data to identify variances and outliers in the Ai forecasting, usage data and other Ai capabilities
Applying pattern recognition techniques to interpret complex datasets, enabling accurate forecasting and scheduling recommendations
Interpreting AI and machine learning model outputs to ensure they are applied correctly within forecasting workflows
Communicating AI-generated insights and strategic recommendations to stakeholders at all levels
Supporting the pre-sales cycle for Enterprise accounts by demonstrating the value of Fourth’s AI capabilities
Supporting the deployment of new AI capabilities across the Fourth solution set
Collaborating with Project Management, Customer Success, and technical specialist teams at each phase of the customer journey
Sharing AI analytics knowledge, methodology, and best practices across the Professional Services team

What we offer

25 basic holidays with option to grow up to 30 with service + birthday off + bank holidays
Flexible working hours and hybrid working environments
Wellness activities and pampering
Gym subscription discounts
Laptop and equipment
Healthcare expense claim tools
Certifications
Annual meet ups
Enhanced parenting scheme
Cycle to work scheme and season ticket loan

Fulltime

Ai Consultant

We are looking for an AI Consultant to guide the secure adoption of Microsoft Co...

Location

United States , Nashua

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in AI consulting, data security, governance, or a closely related field.
Hands-on expertise with Microsoft Purview, including information protection, data lifecycle management, and policy-based security controls.
Demonstrated success designing and implementing enterprise data classification and labeling programs.
Experience using data mapping or discovery methods to assess sensitive content across Microsoft 365 or similar business environments.
Familiarity with Microsoft Copilot or comparable AI enablement initiatives in enterprise settings.
Working knowledge of identity and access management concepts, including Azure AD or Entra ID.
Strong understanding of SharePoint, OneDrive, and Teams data structures, along with broader data privacy and risk management principles.
Ability to turn technical assessments into clear, business-focused recommendations for stakeholders and leadership.

Job Responsibility

Drive the rollout and ongoing enhancement of Microsoft Copilot capabilities across core Microsoft 365 platforms such as Teams, SharePoint, OneDrive, and Outlook.
Configure and refine Microsoft Purview features to support information protection, sensitivity labeling, lifecycle controls, and data loss prevention measures.
Perform file mapping and data discovery activities to identify where sensitive information resides and how it is accessed across enterprise environments.
Establish governance standards and usage controls that align AI adoption with organizational security and compliance expectations.
Create and maintain labeling strategies using manual and automated approaches, while incorporating retention and protection policies where appropriate.
Evaluate data security gaps that could affect Copilot deployment and recommend remediation actions to reduce compliance and privacy risk.
Work closely with cross-functional stakeholders in security, compliance, and IT to ensure AI capabilities are introduced with appropriate safeguards.
Advise on data preparedness for AI by reviewing access controls, segmentation practices, and data minimization approaches.
Produce documentation and deliver stakeholder guidance on secure AI usage, governance practices, and recommended operating procedures.

What we offer

Medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan

Chief of Staff - Strategy & AI Enablement

Location

Germany , Berlin

Salary:

Not provided

Project A Ventures GmbH

Expiration Date

Until further notice

Requirements

5+ years at McKinsey & Company, Boston Consulting Group, or Bain & Company or top-tier investment banking with strong M&A exposure
Proven track record of applying AI tools in real operating environments
Strong financial understanding (P&L, balance sheet, cash flow)
Exceptional structuring and problem-solving skills
Ability to operate under pressure in a high-performance environment
Excellent communication skills in English (C1+)
German would be advantageous

Job Responsibility

Run the Company Operating System
Drive the CEO agenda across all functions
Build and enforce a clear operating cadence (weekly, monthly, quarterly)
Create full transparency on performance: GMV, Net Revenue, margin, working capital
Identify bottlenecks early and force resolution
Translate Strategy into Execution
Break down company strategy into concrete, executable plans
Align all CEO direct reports on priorities and timelines
Track execution rigorously and intervene where needed
Act as sparring partner to senior leadership

What we offer

Work directly with the CEO on the most critical topics
Exposure to board-level thinking and decision-making
Full visibility across the company
Opportunity to shape how a high-growth company is run
Steep learning curve with real responsibility from day one

Fulltime

Ai Enablement Manager

Powerdot is building the structure that turns an AI vision into daily reality ac...

Location

Portugal , Lisbon; Porto

Salary:

Not provided

Powerdot

Expiration Date

Until further notice

Requirements

Previous experience in training, programme management, or internal consulting in a tech-forward environment
Demonstrable ability to run structured workshops and facilitate adoption of new tools or processes across diverse teams
Technical literacy sufficient to understand how AI assistants, workflow automation, and MCP integrations work. You do not need to build them, but you need to speak credibly to engineers and to Operations managers in the same week
Strong written and verbal communication in English and Portuguese
confidence in front of a room
Structured thinker: able to assess a messy request, identify the right tool or escalation path, and explain that decision clearly
Self-directed: you will define the week's priorities, not wait for them
Hands-on experience with OpenWebUI, n8n, or MCP integrations
knowing how to build and distribute skills and tools for AI assistants tailored to specific use cases
or familiarity with concepts like model memory and observability (e.g. Langfuse) will give you a significant head start.

Job Responsibility

Design and run role-specific enablement sessions for each department
Manage the rollout sequencing across teams in coordination with the AI Strategy leads
Track team maturity from v0 (hands-on guided) to v1 (self-sufficient) to v2 (championled)
Train and develop AI Champions per department
Build Champions into the internal experts their teams rely on
Run regular Champions cadence: shared learning, new use cases, tooling updates
Triage every AI request from across the organisation: workflow automation, knowledge and assistant use cases, scripting, or escalation to Engineering or the Data platform
Track and report adoption metrics: weekly active usage, time saved per team, self-sufficiency ratio (team-built vs. centrally built use cases)
Own the monthly impact report accessible to the entire company
Work with the AI engineering team to unblock obstacles and build new tooling for internal and external tools integration

What we offer

Private health insurance coverage
Gym membership
Flexible working hours
Annual offsite
Regular team-building events
English Training
Free office snacks and unlimited coffee
Meal allowance for every worked day
Special discounts for charging your electric vehicle

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Ai Enablement Consultant

Job Description

Job Responsibility

Requirements

What we offer

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