AI Transformation Intern Job at VO2 Group (Paris)

Business Analyst Intern - AI Transformation

The AI Transformation Intern supports the organisation's enterprise AI agenda by...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualifications)
No previous experience required
Critical Thinking & Problem Solving
Collaborative Teamwork
Project Management
Business analysis fundamentals including problem definition, requirements structuring, and basic value articulation for use cases
Structured documentation skills using tools such as Excel, Word, and PowerPoint to maintain trackers, use case descriptions, and status reporting
Basic understanding of AI concepts such as machine learning, generative AI, automation, and how AI is applied in business contexts
Data handling and analysis basics including working with datasets, simple metrics, and structured information to support tracking and reporting
Awareness of IT risk, governance, or compliance concepts including familiarity with risk assessments, controls, and approval processes, even at a conceptual level

Job Responsibility

Support business analysis activities for AI use cases, including problem definition, scope clarification, and articulation of expected value and outcomes
Assist with product style documentation for AI initiatives, including use case descriptions, roadmaps, prioritisation inputs, and status updates
Maintain and continuously update the central AI use case library, ensuring accuracy, consistency, and traceability across all initiatives
Track AI use cases across their lifecycle, from initial idea through discovery, assessment, and implementation
Support the completion of IT Risk Assessments for all AI use cases, coordinating inputs from IT, Risk, Data Protection, and Compliance stakeholders
Document AI governance artefacts, decisions, dependencies, and approval statuses in line with internal frameworks
Prepare clear and concise tracking materials, dashboards, and summaries for senior stakeholders and governance forums
Support broader AI transformation activities, including adoption tracking, process documentation, and continuous improvement of AI delivery practices

Fulltime

Head of AI Transformation - APJC, Generative AI Innovation Center

Are you passionate about helping customers achieve business transformation throu...

Location

Singapore , Singapore

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

10+ years of external or internal customer facing, complex and large scale project management experience
7+ years of scientists or machine learning engineers management experience
Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Bachelor's degree in Computer Science, Math, or a related field
15+ years sales experience with large global companies
Cloud/Consulting/IT advisory sales or services experience
credibility to sell complex transformational IT consulting engagements
Customer relationship management, executive presence, and collaboration skills
Experience participating in the sales lifecycle (directly or indirectly)

Job Responsibility

Lead a high-performing, multidisciplinary team of ML engineers, AI scientists and strategists
Own the regional engagement pipeline — identify, qualify, and land C-suite-sponsored AI transformation programs with enterprise customers
Guide the team in designing, building, and deploying production AI solutions
Drive a land-and-expand motion: prove value in focused sprints, then scale across business units with executive sponsorship
Operate as a GM — balancing technical delivery, talent development, commercial outcomes, and operational excellence
Advise and influence customers on enterprise AI strategy, including architecture decisions, organizational readiness, and change management
Drive adoption of AWS generative AI services by delivering AI expertise and developing repeatable transformation playbooks
Develop new strategies and mechanisms to address evolving customer needs while increasing business velocity and impact for AWS
Influence product roadmap with service teams based on customer feedback

Fulltime

Gen AI Engineering and Scaled AI Transformation

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Job Responsibility

Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
Sets reusable reference patterns and accelerators for GenAI adoption across application teams
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models

Fulltime

New

Director of AI Transformation

Tripleseat is in the middle of a major transformation: rewiring how R&D operates...

Location

United States

Salary:

180000.00 - 220000.00 USD / Year

Tripleseat

Expiration Date

Until further notice

Requirements

10+ years in software engineering, engineering operations, product operations, or R&D leadership
you have mapped, measured, and improved how R&D organizations operate
Program leadership experience at the R&D or platform level: you have owned complex, multi-workstream roadmaps with real accountability for outcomes
Change leader, not just process designer: You understand that new tools and workflows only matter if people adopt them. You can bring skeptical, busy, high-performing teams along without creating unnecessary bureaucracy
Chief of Staff instincts: you know how to make senior leaders more effective, prepare them well, and ensure the organization moves on decisions rather than deferring them
Metrics fluency: you have owned engineering and product KPIs and used data to drive behavior change, not just produce dashboards
Bleeding-edge AI practitioner: you use Claude Code, Cursor, or equivalent AI coding tools daily and have hands-on experience transforming how development teams work
Customer-centered operator: You connect internal R&D improvements to customer outcomes: faster learning, better releases, more reliable delivery, and stronger product-market execution
Experience with brownfield codebases: you understand the challenges of driving transformation in a large, long-standing monolith alongside newer services
Humble, hungry, and smart: high standards and strong opinions, low ego

Job Responsibility

Drive the R&D Agentic SDLC Operating Model
Lead a collaborative discovery process with Engineering, Product and Design leaders to map the end-to-end R&D workflow from idea to production
synthesize input from the teams closest to the work, identify the biggest sources of friction and delay, and turn that shared understanding into a practical transformation roadmap
Conduct an AI readiness assessment across documentation quality, test coverage, repo structure, design system maturity, and tooling
Define what AI-native means for every role in R&D: what changes, what new behaviors are expected, and what success looks like
Drive the transition toward continuous delivery: prototypes reach production without sacrificing quality, stability, or scalability
Define and govern the R&D tooling stack: vendors must meet API accessibility, MCP support, and AI-workflow integration requirements
When needed, getting hands-on to prototype or pressure-test new ways of working so the R&D teams can see and learn from concrete examples
Own R&D Metrics and Visability
Define and own the R&D metrics framework: business outcomes, project velocity, agentic velocity, delivery velocity, quality, and transformation progress

What we offer

Competitive Medical, Dental, and Vision Insurance
Company Paid Life Insurance, Short- and Long-Term Disability Plans
401(k) with Company Match
Parental Leave
Flexible Paid Time Off
Pet Insurance

Fulltime

Director, Ai Transformation Change & Adoption

The Microsoft Customer and Partner Solutions (MCAPS) AI Transformation Office (A...

Location

United States , Multiple Locations

Salary:

130900.00 - 277200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Organizational Development, Operations, Communications, or related field AND 8+ years of experience in change and adoption, organizational transformation, program management, business operations, process management, process improvement OR equivalent experience
6+ years management (e.g., people, project, process, vendor, change) experience

Job Responsibility

People Leadership & Team Development
Change Strategy & Execution at Scale
Customer Zero & Internal Activation
Stakeholder Engagement & Executive Influence
Insight Generation, Measurement & Continuous Improvement
Other

Fulltime

Ai Transformation Lead - Compliance

The AI Transformation Lead role supports the Head of Compliance Operations in dr...

Location

United Kingdom , London

Salary:

Not provided

Marex

Expiration Date

Until further notice

Requirements

Recent hands-on experience delivering AI-enabled solutions in an enterprise environment
Strong understanding of AI technologies, including generative AI, natural language processing, workflow automation and intelligent monitoring capabilities, identifying appropriate solutions per use case
AI prompt engineering experience
Strong analytical capability working with structured and unstructured data sets
Understanding of AI governance, model risk management, explainability and evolving regulatory expectations relating to AI within financial services
Minimum 5-8 years’ experience delivering transformation initiatives, including ‘hands-on’ delivery, through end-to-end lifecycle of delivery and transition to BAU
Experience performing gap analysis and eliciting, capturing and defining business and functional requirements
Experience in process modelling (BPMN or similar)
Experience of dealing with various stakeholders (Front Office, IT, Finance, Risk, HR, 3rd Party suppliers, etc)

Job Responsibility

Lead end-to-end delivery of AI initiatives within Compliance
Identify and shape AI-enabled use cases and transformation opportunities
Evaluate emerging AI technologies and assess applicability across Compliance use cases
Identify AI-ready processes and automation opportunities
Redesign Compliance workflows to incorporate AI-driven decision support and automation capabilities
Monitor and evaluate AI model performance, including validation of outputs, identification of bias and detection of model drift or anomalies
Coordinate testing, validation and adoption activities to ensure effective deployment of AI-enabled solutions
Oversee implementation, deployment and post-production optimisation of AI-enabled solutions
Support AI governance, model lifecycle management and compliance with internal control frameworks
Engage senior stakeholders across Compliance and Technology to prioritise and deliver AI transformation initiatives

Fulltime

Ai Transformation Consultant

Join a company that is pushing the boundaries of what is possible. We are renown...

Location

Belgium , Diegem

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Master’s or Bachelor’s degree in Computer Science, Engineering, Business, or related field
Proven experience (typically 5–10 years) in consulting, digital transformation, or AI/data-related roles
Strong ability to engage with senior stakeholders and lead structured discussions on business challenges
Proven experience in identifying and shaping use cases with clear business value
You already maintain a strong local partner eco-system
Solid understanding of AI/ML concepts, including GenAI and data platforms
Ability to understand technical architecture without being a pure developer
Strong business acumen with the ability to assess ROI and value creation
Experience translating business needs into technical requirements
Good understanding of security and compliance considerations in AI solutions

Job Responsibility

Lead AI use-cases discovery workshops with business and IT stakeholders to identify high-value opportunities aligned with client strategy
Translate business challenges into AI-driven solutions, ensuring feasibility from both a technical and organizational perspective
Define end-to-end AI transformation roadmap, including use cases prioritization, data requirements, sovereignty and architecture considerations, and governance model
Bridge the gap between business stakeholders and technical teams (data scientists, engineers, architects)
Provide guidance on AI solution design, including data pipelines, model lifecycle, integration, and deployment considerations
Be able to technically challenge the proposed solutions of every party
Evaluate ROI, business impact, and feasibility of AI initiatives, supporting business case development and investment decisions
Ensure alignment with ethical AI principles, regulatory requirements (e.g., GDPR, AI Act), and responsible AI practices
Collaborate with security consultants to ensure AI solutions are designed with security and compliance as native components
Collaborate with local teams and global delivery units (e.g., AI factories, centre of excellence) and the ecosystem of local partners to leverage available capabilities and assets

Fulltime

Engineering - Internal AI Transformation

About the role Application About ElevenLabs ElevenLabs is an AI research and pro...

Location

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Proven experience building and shipping automations or applications in production
AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows
Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers)
A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start
Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it
Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows

Job Responsibility

Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n
Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more
Building reusable automation services, patterns and shared templates that multiply the output of every team you touch
Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact
Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe

What we offer

Innovative culture
Growth paths
Learning & development: annual discretionary stipend
Social travel: annual discretionary stipend
Annual company offsite
Co-working: monthly co-working stipend

Fulltime

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