• Architect, design and deliver robust implementable solutions for complex supply chain requirements using SAP IBP Supply Planning, Demand Planning, Optimization and Fulfillment Techniques involving SAP IBP utilizing both order-series and time-series planning. • Demonstrate process improvement techniques to streamline business process and architect solutions. • Lead projects to implement new and improved existing functionalities that are already implemented at NVIDIA in IBP. • Build prototypes and proof of concepts for business requirements and translate them into effective operational solutions. • Apply industry-best practices for data analysis and share across the teams. • Build business and product scenarios to help the BU improve NVIDIA's profitability and market share. • Perform testing to support system implementations and upgrades, and drive system design analysis, testing, and training • Collaborate with cross functional teams in business and IT to deliver comprehensive supply chain planning solutions, and Influence senior leadership in business to adopt scalable solutions and systems/tools.

Role Description As the Senior AI Ops Engineer, you will lead the advancement of our AI capabilities, focusing on engineering excellence and leveraging generative AI to enhance our end-to-end operations from experimentation to deployment. Your role will involve driving research and development in analytical techniques, creating new AI-driven products, and mentoring junior talent. With our infrastructure transitioning to Oracle Cloud Infrastructure (OCI), you will play a pivotal role in architecting, optimizing, and scaling AI workloads within OCI’s ecosystem. Join us in transforming the healthcare landscape! Job Roles and Responsibilities - Enhance AI Operations - Utilize generative AI to streamline processes and tools, enabling faster and more effective development and deployment. - Build scalable GenAI infrastructure with Terraform, Docker, Helm, and Kubernetes (OKE, AKS, and OCI-native services such as OCI Data Science, OCI AI Infrastructure, and OCI Streaming). - Architect hybrid AI systems across OCI, Azure, and on-prem GPU clusters, ensuring seamless data and model orchestration. - Automate model pipelines (training → fine-tuning → inference) using Jenkins, GitHub Actions, and MLflow integrated with OCI Object Storage and OCI DevOps. - Serve multimodal LLMs with vLLM, Triton, and Streamlit dashboards deployed on OCI Container Engine for Kubernetes (OKE) and optimized for OCI GPUs. - Deploy secure RAG-based microservices backed by Vector DBs, Databricks, and OCI AI Services (e.g., Data Labeling, Generative AI APIs) and private LLM gateways. - Lead R&D Efforts - Drive research and development using generative AI to create reusable code components and establish best practices for OCI-based MLOps and AI infrastructure. - Stakeholder Collaboration - Partner with stakeholders to identify opportunities for new AI-driven products through data insights, leveraging OCI’s data and analytics stack (Autonomous Data Warehouse, Data Flow, Data Integration). - Program-Level Initiatives - Lead initiatives focused on the initial development of AI-powered products that utilize OCI-native AI and ML services for scalability and compliance. - Ethical AI/ML Practices - Ensure AI models are transparent, relevant, and ethically used across all environments, maintaining consistency between OCI and multi-cloud systems. - Team Management - Mentor and develop junior data scientists and engineers, fostering a culture of continuous learning and innovation in OCI and multi-cloud AI engineering. - Compliance - Ensure adherence to HIPAA regulations and data privacy standards: HIPAA, SOC2, BAA enforcement, and PHI-safe model routing within OCI’s secure architecture. Qualifications - Must have 7+ years in Data Science, 3+ years in R&D, 2+ years mentoring/managing junior engineers. - Deep expertise in Kubernetes, CI/CD, LLMOps, and cloud-native architecture. - Exposure to taking AI agents from concept to compliance-ready production is preferred. - Strong ML Infra experience with hands-on Terraform/K8s/IaC. - Deep experience with LLMOps, model versioning, and hybrid GPU deployment. - Must have fluency in Python, Bash, and container-native toolchains. - Familiarity with open-weight LLMs (Mistral, Grok, LLaVA, etc.). - Passion for building AI that’s not just powerful, but secure and compliant. - Experience in dealing with Peta Bytes of data. - Strong problem-solving, critical thinking, creativity, organizational, and communication skills. Preferred Experience - Healthcare and process optimization. - Bachelor's in Quantitative Science; Master's or PhD preferred. Compensation The salary range for this position is $170K to $180K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity. Benefits - Medical, dental and vision coverage with low deductible & copay. - Life insurance. - Short and long-term disability. - Paid Parental Leave. - 401(k) + match. - Employee Stock Purchase Plan. - Generous Paid Time Off – accrued based on years of service. - 10 paid company holidays. - Tuition reimbursement. - Flexible Spending Account. - Employee Assistance Program. - Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year. EEO Statement Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. Application Deadline We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.

• Lead customer conversations in English with confidence and clarity, translating mission needs into crisp technical requirements and clear next steps. • Deeply understand Loft Orbital’s technical solution ecosystem, including satellite platforms, in-orbit capabilities, mission services, and operations to communicate and discuss mission solutions, accommodations, and design tradeoffs concisely to both customers and engineers. • Evaluate customer design and interface requirements for physical and on-demand missions, aligning with Loft’s program offerings and technical specifications. • Drive the development of customer-specific technical solutions, asking the right questions throughout the sales process to align on program expectations. • Own technical proposal content end-to-end, including preliminary architectures, mission analyses, and written narratives that are structured, clear, and mission-oriented. • Act as the primary coordination point between Business Development and Engineering—analyzing customer requirements, synthesizing information, building alignment, and pushing discussions to outcomes rather than open-ended exploration.

Role Description The Pre-Sales Solution Engineer (PSE) is integral to our pre-sales operations, providing technical solution selling, technical presentations, and solution design based on assessing technical and business requirements. This role is responsible for building and maintaining customer and partner relationships for long-term success, specifically focusing on the Quantum Portfolio & Products to address customer business challenges. The PSE must articulate the value and outcomes our solutions provide, aligning them with client needs and requirements. Additionally, this role involves ensuring application interoperability with third-party solutions, with a strong emphasis on AI-driven solutions and their integration into existing business processes. Job Duties and Responsibilities - AI Integration: - Leverage AI technologies to enhance solution designs, ensuring that AI capabilities are effectively integrated to meet customer business needs. - Provide technical expertise on AI-driven products, demonstrating how they can solve specific challenges and optimize operations. - Interpersonal and Communication Skills: - Exhibit excellent interpersonal skills, strong presentation abilities, effective listening, and superior written and verbal communication. - Explain complex AI concepts to non-technical audiences. - Technical Expertise: - Use in-depth product knowledge to provide technical expertise to sales staff, partners, and customers. - Offer informal training support on AI technologies as needed. - Solution Presentations: - Deliver effective technical presentations on all aspects of our solutions, including features, functions, benefits, and interoperability with third-party products. - Customer Interaction: - Respond to technical questions from prospective and existing customers, as well as the Quantum Sales Team. - Requirements Analysis: - Identify and document customer functional and non-functional requirements for detailed system design. - Solution Design: - Translate technical and business requirements into clear architecture and solution design documents. - End-to-End Solutions: - Provide comprehensive solution and design details, acting as a product SME to help identify and qualify business opportunities. - Project Coordination: - Collaborate with internal and external technical resources, project managers, and product managers to develop proof of concept or implementation solution plans. - Sales Support: - Assist in closing business by securing technical recommendations through solution presentations, demonstrations, and evaluations. - RFP/RFI Responses: - Provide technical input and support to the Sales Team when responding to large RFIs or RFPs. - Consultative Approach: - Work with the Sales Team using a consultative approach to identify customer business needs and develop enterprise solutions. - Sales Team Collaboration: - Function as an active member of the Quantum Sales Team, overcoming technical barriers to sales. - Participate in periodic sales funnel reviews. - Maintain up-to-date customer technical information in Salesforce. Qualifications - Mastery of the consultative sales process, with pre-sales design and implementation expertise in complex shared storage environments, including AI integration. - Strong skills in storage technologies (e.g., Filesystems: S3, NFS, Technologies: Cloud, NAS, SAN, DAS, OSD, Software Defined Storage). - Strong knowledge of AI hardware solutions across all aspects of an AI driven portfolio and solution set. - Strong knowledge of media and entertainment workflows, complex broadcast IT, post-production environments, and AI applications within these industries. - Understanding of market trends, particularly in AI, and the ability to identify associated solutions. - Strong written, oral, and presentation skills. - Strong project management skills, including evaluation, design, development, and analysis. - Understanding of IT governance frameworks, including corporate requirements, industry standards, regulatory environments, and risk and resource management. - Strong customer relations skills and a thorough understanding of the sales cycle, particularly in AI-driven sales scenarios. - Working knowledge of MAC, UNIX, LINUX, Windows, and AI/ML hardware/software certifications is a plus. - Ability to work independently and as part of a team. - Experience performing needs assessments, proofs of concept, particularly involving AI. - BS degree in Engineering or Computer Science preferred, or equivalent experience. - At least 8+ years in a senior pre-sales technical role, with demonstrated experience in Storage and associated AI technologies. Requirements - Ability to communicate, present, instruct, guide, negotiate, and coordinate tasks related to AI technologies and their implementation. - Ability to communicate, present, instruct, guide, negotiate, and coordinate tasks related to Enterprise Storage technologies. - Capable of creating collateral, presentations, documentation, and marketing material, particularly related to AI solutions. - Active participation in partner and channel development, especially with AI-focused partners. - Ability to work both independently and collaboratively within a team environment. - Consistently complete tasks on time with or without supervision. - Use logic and reasoning to identify strengths and weaknesses of alternative solutions and approaches. - Effectively communicate information and ideas, particularly those related to AI. - Analyze information and evaluate results effectively, with a focus on AI-driven solutions for data analysis. - Work collaboratively with product, pre-sales solution engineering, sales, and channel teams. - Proficient in using the full Microsoft Office suite, including Excel, Word, PowerPoint, and Teams. Benefits - Diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. - Support for team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. - Company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. - Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate. Travel Requirements - Expected Travel: 20-50% Anticipated Salary Range $200,000 to $220,000 for qualified applicants.