▷ Apply in 3 Minutes Senior Ai Presales Consultant

About Atos Group Atos Group is a global leader in digital transformation with c 70 000 employees and annual revenue of c EUR 10 billion operating in 67 countries under two brands - 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 The 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 Job Title Senior AI Presales Consultant Full-Stack Generative AI Location Mumbai Reports to Head of Presales About Us Eviden is at the forefront of global innovation As a leading manufacturer of world-class Supercomputers we provide a true full-stack AI solution-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 Job Summary 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 upstream 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 how of their AI strategy 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-from data pipelines and RAG architectures to model selection inference optimization and precise infrastructure sizing If you are passionate about building the factory for AI not just the product this role is for you What We Don t Expect Focus of the Role You are not expected to be a hardware specialist e g designing server racks or comparing GPU silicon You are not expected to be a domain-specific data scientist e g building the final fraud detection model or NLP algorithm Your focus is the platform that enables these two ends of the spectrum Key Responsibilities Strategic Client Advisory Lead executive-level Art of the Possible workshops and technical discovery sessions to understand a client s business goals data readiness and AI maturity Full-Stack Solution Architecture Design holistic end-to-end AI solutions that synergize our supercomputing hardware AI software platform and MLOps capabilities to meet specific client needs Generative AI LLM Expertise 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 Infrastructure Sizing Performance Modelling 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 Model Software Consultation Advise clients on AI model selection comparing the trade-offs of open-source vs proprietary LLMs fine-tuning vs foundation models and model quantization Position and demonstrate our proprietary AI software platform MLOps tools and libraries integrating them into the client s ecosystem Inference Optimization Design and architect robust low-latency and high-throughput inference solutions for complex AI models including large-scale LLM serving User Experience UX Advocacy 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 Sales Cycle Enablement 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 Required Skills Qualifications Experience 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 Generative AI Expertise 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 Critical Sizing Hardware Acumen Direct experience in sizing AI infrastructure Must be able to perform napkin math and detailed calculations for GPU CPU memory and network requirements 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 AI Platform MLOps 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 Model Landscape Knowledge 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 Consultative Communication Skills 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 Education Bachelor s or Master s degree in Computer Science AI Data Science or a related engineering field Preferred Qualifications Direct experience working for an AI hardware GPU CPU Supercomputer or major cloud AI platform provider Hands-on experience with parallel computing frameworks CUDA MPI Experience in scientific computing research or other HPC domains Active contributor to the AI ML community e g publications conference talks open-source projects Here at Atos diversity and inclusion are embedded in our DNA about our commitment to a fair work environment for all Atos is a recognized leader in its industry across Environment Social and Governance ESG criteria more on our CSR commitment Choose your future Choose Atos