ai consultant

Accenture

We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy &amp; Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360  value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360  value we create for our clients, each other, our shareholders, partners and communities. About the Role We are seeking a dynamic Data &amp; AI Consultant with strong expertise in applying advanced analytics, artificial intelligence, and machine learning to marketing and business challenges. This role blends technical consulting with marketing strategy , enabling clients to harness data-driven insights and AI-powered solutions to optimize customer engagement, personalize campaigns, and maximize ROI. The ideal candidate is equally comfortable building analytical models as they are advising senior marketing leaders on how to leverage data and AI for growth. Key Responsibilities Consulting &amp; Strategy Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation. Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models). Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance. Data &amp; AI Solutioning Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing). Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies. Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions. Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases Marketing Analytics &amp; Insights Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis. Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams. Provide actionable insights that drive customer acquisition, retention, and engagement. Client Engagement &amp; Enablement Act as a trusted advisor to marketing and business stakeholders. Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling). Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities. 4+ years of work experience. Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI). Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau). Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics). Experience in building Agentic AI systems, conversational AI / AI bots , Prompting Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment. Professional Skills Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders. Strong client-facing consulting experience. Ability to work cross-functionally and manage multiple projects simultaneously. Preferred Background Degree in Data Science, Computer Science, Marketing Analytics, or a related field. Prior experience in consulting, agency, or corporate marketing analytics roles. Familiarity with privacy and ethical AI considerations in marketing. What We Offer Exposure to cutting-edge AI and data projects across industries A collaborative environment with experts in AI, data science, and digital strategy. Ongoing professional development and certification opportunities. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

Data & AI Consultant

Business Experts MEA LLC

<p><strong>Key Responsibilities:</strong></p><ul> <li>Design, develop, and deploy AI-powered applications and agents using LLMs and Microsoft Azure AI services.</li> <li>Build and maintain scalable backend services using TypeScript/Node.js or Python.</li> <li>Integrate enterprise systems with custom connectors and API integrations, especially with ERP systems (e.g., SAP, Oracle).</li> <li>Leverage Microsoft Dataverse to create intelligent data models and workflows.</li> <li>Build end-to-end automation solutions using Power Automate and related Microsoft Power Platform tools.</li> <li>Collaborate with cross-functional teams including product managers, data scientists, and solution architects to deliver impactful business solutions.</li> <li>Stay current with advancements in AI technologies and apply them to solve real-world enterprise challenges.</li> <li>Participate in client workshops, requirement analysis, and technical solutioning.<br><br></li> </ul>

AI Consultant

Accenture Middle East

<p> <b>Key Responsibilities</b> </p> <p> <b>Consulting &amp; Strategy</b> </p> <ul> <li>Partner with clients to understand their business goals, particularly in <b>marketing, customer experience, and digital transformation</b>.</li> <li>Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models).</li> <li>Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance.</li> </ul> <p> <b>Data &amp; AI Solutioning</b> </p> <ul> <li>Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing).</li> <li>Work with structured and unstructured data to generate insights that inform <b>brand, product, and digital strategies</b>.</li> <li>Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions.</li> <li>Explore and apply <b>Agentic AI frameworks</b> to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases</li> </ul> <p> <b>Marketing Analytics &amp; Insights</b> </p> <ul> <li>Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis.</li> <li>Build dashboards and visualizations that communicate <b>data-driven stories</b> to marketing and leadership teams.</li> <li>Provide actionable insights that drive <b>customer acquisition, retention, and engagement</b>.</li> </ul> <p> <b>Client Engagement &amp; Enablement</b> </p> <ul> <li>Act as a trusted advisor to marketing and business stakeholders.</li> <li>Lead workshops and training sessions on <b>AI in marketing</b> (generative AI, personalization, predictive modeling).</li> <li>Stay ahead of AI, data, and marketing technology trends to guide clients on <b>emerging opportunities</b>.</li> </ul> <p> </p> <p> </p> <p> </p> <ul> <li>4+ years of work experience.</li> <li>Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI).</li> <li>Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau).</li> <li>Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics).</li> <li>Experience in building Agentic AI systems, conversational AI / AI bots , Prompting  </li> <li>Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment.</li> </ul> <p> <b>Professional Skills</b> </p> <ul> <li>Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders.</li> <li>Strong client-facing consulting experience.</li> <li>Ability to work cross-functionally and manage multiple projects simultaneously.</li> </ul>

Tata Consultancy Services (TCS)

<div></div><div><div><div><p>Required skills:<br>
AI Tech Landscape, AI Strategy Development, Domain Expertise<br>
Financial Modeling &amp; ROI analysis, Facilitation and Workshopping methods<br>
Develops tailored AI strategies for organizations within a specific industry domain, aligning AI initiatives with business objectives and market opportunities. Leverages deep domain expertise and AI knowledge to guide clients on AI adoption and transformation. Focuses on strategic AI guidance to drive business value within specialized industries.
</p></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Consultant</div>
</div><div><div><b>Job Id</b></div>
<div>380402</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

AI Strategy Consultant

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>100016397
</div></div><div><div>Career area:
</div><div>Services
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Wednesday, November 5, 2025
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><br>
<div></div><br>
<div>Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div><br>
<div></div><br>
<div>To find out more visit www.lenovo.com and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><div></div><div><div><div><div><div><br>
<div>Take your career to next level!</div><div>
Join Lenovo and act as a SME and technical lead for AI deployments in enterprise environments with Nvidia GPU powered solutions.</div><div></div><div><b><br>
What You will do:</b></div><div><ul><li>
Deploy and configure AI solutions across enterprise platforms
</li><li>Work on a project-based assignment model, ensuring timely and quality delivery.
</li><li>Conduct performance benchmarking and inference tests; optimize AI models for accuracy, performance, scalability, and resource efficiency.
</li><li>Identify and mitigate risks such as hardware, network, or software issues; develop contingency plans.
</li><li>Provide transparent updates, manage scope changes, and address issues with stakeholders.
</li><li>Manage deployment of AI workloads using Nvidia AI Enterprise, PyTorch, and TensorFlow; ensure integration with customer infrastructure.
</li><li>Lead post-deployment handoff, train client/managed services teams on AI infrastructure operations, troubleshooting, scaling, and optimization.
</li><li>Key clients located mostly in Jeddah, Al Khobar, and Riyadh to meet project objectives.
</li>Travel frequently (approximately 50%) to client sites or provide remote support as needed.<br>
<li>
</li></ul></div><div></div><br>
<br>
<div><b>Requirements:</b></div><div><ul><li>
Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments.</li><li>
Hands on experience in NVIDIA NeMo framework for custom LLM training, fine-tuning (LoRA, QLoRA), RLHF</li><li>
Experience with NVIDIA NIM deployment patterns (microservices, multi-model serving, API gateway)</li><li>
Knowledge of Agentic AI systems: Multi-agent architectures using LangGraph, CrewAI</li><li>
Advanced RAG techniques: Hybrid search, re-ranking, query decomposition, multi-hop reasoning</li><li>
Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow.</li></ul><div></div><div><b><br>
What We offer You:</b></div></div><div><ul><li>
An international team with a high focus on Gender Diversity.
</li><li>Employee Assistance Program, e.g., for psychological, legal &amp; financial consultancy
</li><li>You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
</li><li>Access to training for personal development. - Internal E-learning Development Platform Available for Employees
</li><li>Mentorship program</li></ul></div><div></div><div><br>
</div></div></div></div><div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

HCS Nvidia AI consultant

VINCI

<div><p><b>Axians Emirates</b>, an operational entity of <b>Cegelec Abu Dhabi</b> (a subsidiary of VINCI Energies), is a dedicated business unit specializing in the deployment and maintenance of telecom, cybersecurity infrastructure and physical security systems.</p><p>
With strong capabilities in cybersecurity design and implementation, as well as ICT engineering and construction, Axians Emirates delivers end-to-end solutions tailored to the needs of critical sectors.</p><p>
&#65039; Our services cover the full project lifecycle &mdash; from engineering, integration, and installation to commissioning and maintenance &mdash; with a focus on security, telecommunications, and information systems for clients in the oil &amp; gas and defense industries.</p><p>
With the support of the <b>Axians network (VINCI Energies)</b>, Axians Emirates delivers <b>reliable, agile,</b> and <b>locally adapted</b><b> solutions</b>, while embracing a dynamic approach to innovation and sustainable performance.</p><p></p><p><b>
Job Summary</b></p><p>
We are looking for an <b>AI Governance Consultant</b> to help implement structured, ethical, and regulatory-compliant governance over AI systems used across business functions. This includes risk management, documentation, oversight, and stakeholder alignment.</p><p><b>
Responsibilities</b></p><ul>
<li>Develop AI governance frameworks including ethical principles, risk classifications, and control requirements.</li>
<li>Define oversight models and AI-specific KPIs in line with organizational governance needs.</li>
<li>Evaluate and document the impact, transparency, and compliance status of AI use cases.</li>
<li>Maintain Statements of Applicability (SoA) for AI controls based on risk assessments.</li>
<li>Contribute to awareness programs related to AI usage and ethical concerns.</li>
<li>Liaise with legal, compliance, and cybersecurity teams to ensure holistic coverage of AI governance.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>Minimum 5 years in governance, data privacy, cybersecurity, or AI risk domains.</li>
<li>Strong knowledge of AI lifecycle governance, regulatory considerations, and risk frameworks.</li>
<li>Familiarity with at least one AI governance platform (e.g., OneTrust, Collibra, or similar).</li>
<li>Understanding of ISO/IEC 42001 or equivalent AI governance standards.</li>
<li>Fluent English (written and spoken) is mandatory</li>
</ul><p><b>
Preferred Certifications</b></p><ul>
<li>CIPT
</li>CRISC, CISM<br>
<li>
</li></ul><p></p><br>
<p><b>Why join us ?</b></p><p>
<b>Our DNA</b>: Trust, Entrepreneurial Spirit, Solidarity, Autonomy, Responsibility</p><p>
Joining us means becoming part of a large group while enjoying the agility and warmth of a human-sized company!</p><p>
A personalized onboarding journey from day one, with tailored career follow-up</p><p>
Opportunities for growth, training, and mobility within a fast-growing international group</p><p>
Close and supportive management</p><p>
Recognition of employee performance through a company savings plan</p><p>
Pride in shared achievements</p><ul><li>&#65039; Respect for the environment and local communities in the countries where we operate (Human Rights Guide)</li></ul><p>
Commitment to the health and safety of our employees</p><p>
At VINCI Energies Oil &amp; Gas, CSR initiatives are deeply embedded in our activities, our ways of working, and ultimately, in our DNA</p></div><p></p>

AI Governance Consultant

Atos

<div></div><div><div><div><h3 class="jobSectionHeader"><b>Job Applicant Privacy Notice</b></h3>
</div></div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior AI Presales Consultant (Full-Stack &amp; Generative AI)
</b></h1></div></div></div></div><div><div><div><div>Publication Date: Oct 29, 2025
</div></div></div></div><div><div><div><div>Ref. No: 537897
</div></div></div></div><div><div><div><div>Location:
Mumbai, IN
</div></div></div></div><div></div><div><div><div><div><p><b>About Atos Group</b></p><br>
<p></p>
<p>
Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. &euro; 10 billion, operating in 67 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.</p><br>
<p></p>
<p>
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.</p><p><b>
Job Title:</b> Senior AI Presales Consultant (Full-Stack &amp; Generative AI)</p>
<p><b>
Location:</b> Mumbai</p>
<p><b>
Reports to:</b> Head of Presales</p>
<p><b>
About Us</b></p>
<p>
Eviden is at the forefront of global innovation. As a leading manufacturer of world-class Supercomputers, we provide a true full-stack AI solution&mdash;from our foundational high-performance hardware platform to our advanced AI software, MLOps tools, and domain-specific applications. We empower the world's most demanding scientific and enterprise organizations to solve their greatest challenges with AI.</p>
<p><b>
Job Summary</b></p>
<p>
We are seeking a high-impact, strategic AI Presales Consultant to join our elite team. This is not a standard presales role. You will engage &quot;upstream&quot; with our most strategic clients, acting as their primary technical and strategic advisor on their end-to-end AI journey, from initial AI curiosity to a fully architected and scalable MLOps platform. You will design the &quot;how&quot; of their AI strategy</p>
<p>
Your mission is to position our entire full-stack AI portfolio, translating complex business challenges into fully architected solutions. You will be the expert who connects the business use case to the underlying supercomputing hardware, with a strong emphasis on our AI Platform. You will guide clients through the complexities of modern AI&mdash;from data pipelines and RAG architectures to model selection, inference optimization, and precise infrastructure sizing. If you are passionate about building the <i>factory</i> for AI, not just the <i>product</i>, this role is for you.</p><br>
<p></p>
<p><b>
What We Don't Expect (Focus of the Role)</b></p>
<ul>
<li>You are <b>not</b> expected to be a hardware specialist (e.g., designing server racks or comparing GPU silicon).</li>
<li>You are <b>not</b> expected to be a domain-specific data scientist (e.g., building the final fraud detection model or NLP algorithm).</li>
<li>Your focus is the <i>platform that enables</i> these two ends of the spectrum.</li></ul><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li><b>Strategic Client Advisory:</b> Lead executive-level &quot;Art of the Possible&quot; workshops and technical discovery sessions to understand a client's business goals, data readiness, and AI maturity.</li>
<li><b>Full-Stack Solution Architecture:</b> Design holistic, end-to-end AI solutions that synergize our supercomputing hardware, AI software platform, and MLOps capabilities to meet specific client needs.</li>
<li><b>Generative AI &amp; LLM Expertise:</b> Act as the subject matter expert on Generative AI. Architect and evangelize scalable data ingestion and preparation pipelines, specializing in Retrieval-Augmented Generation (RAG) frameworks.</li>
<li><b>Infrastructure Sizing &amp; Performance Modelling:</b> Analyse customer workloads (data volume, model complexity, training frequency, inference throughput) to accurately size the required platform infrastructure, including Kubernetes clusters, data storage, and software licenses. This includes calculating compute, storage, and network requirements based on key performance metrics like model parameters, token performance (tokens/sec), desired latency, and concurrent user load.</li>
<li><b>Model &amp; Software Consultation:</b></li>
<li><ul><li>Advise clients on AI model selection, comparing the trade-offs of open-source vs. proprietary LLMs, fine-tuning vs. foundation models, and model quantization.</li>
<li>Position and demonstrate our proprietary AI software platform, MLOps tools, and libraries, integrating them into the client's ecosystem.</li>
</ul></li><li><b>Inference Optimization:</b> Design and architect robust, low-latency, and high-throughput inference solutions for complex AI models, including large-scale LLM serving.</li>
<li><b>User Experience (UX) Advocacy:</b> Collaborate with client teams to define the end-user experience, ensuring the solution delivers tangible business value and a seamless interface for data scientists, analysts, and application users.</li>
<li><b>Sales Cycle Enablement:</b> Own the technical narrative throughout the sales cycle. Build and deliver compelling presentations, custom demonstrations, and Proofs of Concept (PoCs). Lead the technical response to complex RFIs/RFPs.</li></ul><br>
<p></p>
<p><b>
Required Skills &amp; Qualifications</b></p>
<ul>
<li><b>Experience:</b> 7+ years in a customer-facing technical role (e.g., Presales, Solutions Architecture, AI Specialist, or Technical Consulting), with a proven track record of designing large-scale AI, ML, or HPC solutions.</li>
<li><b>Generative AI Expertise:</b> Deep, hands-on understanding of LLM architectures. Must be able to architect, explain, and build PoCs for RAG pipelines, including vector databases (e.g., Milvus, Pinecone, Chroma), embedding models, and data ingestion strategies.</li>
<li><b>Critical Sizing &amp; Hardware Acumen:</b></li>
<li><ul><li>Direct experience in sizing AI infrastructure. Must be able to perform &quot;napkin math&quot; and detailed calculations for GPU, CPU, memory, and network requirements.</li>
<li>Must be able to fluently discuss performance metrics (tokens/second, latency, throughput, TFLOPS) and their relationship to hardware choice (e.g., NVIDIA H100 vs. A100, memory bandwidth, interconnects like NVLink/InfiniBand).</li>
</ul></li><li><b>AI Platform &amp; MLOps:</b> Expertise in the AI software stack. Strong understanding of MLOps principles (Kubeflow, MLflow), Kubernetes (K8s) for AI workloads, and model serving platforms (NVIDIA Triton, KServe, or similar).</li>
<li><b>Model Landscape Knowledge:</b> Strong, current knowledge of the AI model landscape (e.g., Llama family, Mistral, GPT-family, foundation models). Ability to discuss fine-tuning techniques, quantization, and pruning.</li>
<li><b>Consultative &amp; Communication Skills:</b> Exceptional communication, whiteboarding, and presentation skills. Ability to translate executive-level business needs into detailed technical architecture and build a compelling C-level value proposition.</li>
<li><b>Education:</b> Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related engineering field.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Direct experience working for an AI hardware (GPU, CPU, Supercomputer) or major cloud AI platform provider.</li>
<li>Hands-on experience with parallel computing frameworks (CUDA, MPI).</li>
<li>Experience in scientific computing, research, or other HPC domains.</li>
<li>Active contributor to the AI/ML community (e.g., publications, conference talks, open-source projects).</li></ul><br>
<p></p>
<p>
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.</p><br>
<p></p>
<p>
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.</p><p><br>
<b>
Choose your future. Choose Atos.</b></p></div></div></div></div></div><p></p>

Senior AI Presales Consultant (Full-Stack & Generative AI)

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