Senior Manager, Business Development (AI GPU) Job at AMD (Seoul)

Business Development Manager – HPE POD (Modular Data Center Solutions)

Develop and grow the HPE Modular Data Center (POD) and AI infrastructure busines...

Location

Japan , Tokyo

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering, computer science, or related technical field, or equivalent industry experience
Typically 8+ years of professional experience in data center infrastructure, HPC environments, modular infrastructure, or enterprise technology solutions
Experience in business development, solution sales, or infrastructure consulting within enterprise IT, cloud, or data center industries
Experience engaging with senior technical and executive stakeholders on infrastructure strategy and large-scale technology investments
Experience supporting complex infrastructure deals involving multiple stakeholders, partners, and delivery organizations
Strong understanding of modern data center architecture including modular data centers and containerized infrastructure, high-density GPU and HPC environments, liquid cooling and advanced thermal management, AI infrastructure and accelerated computing platforms, enterprise and hyperscale data center operations
Ability to translate complex technical infrastructure concepts into business value and strategic outcomes for customers
Strong commercial acumen with the ability to structure large infrastructure deals and navigate enterprise procurement processes
Experience working across multi-technology environments including compute, networking, storage, cooling systems, and facility infrastructure
Ability to develop scalable infrastructure solutions that enhance performance, efficiency, and time-to-deployment for AI and HPC workloads

Job Responsibility

Drive business development activities for HPE POD and modular data center solutions across targeted industries including AI, education, research, and enterprise environments
Identify, qualify, and develop new opportunities for modular data center deployments including AI factory infrastructure, HPC clusters, GPU environments, and edge data center solutions
Lead engagement with customers to understand technical, operational, and business requirements for large-scale data center deployments and translate these into POD-based solutions
Work closely with HPE account teams, solution architects, and partners to develop end-to-end proposals including infrastructure architecture, modular facility design, and lifecycle services
Act as a trusted advisor to customer executives, infrastructure teams, and decision makers on modern data center architecture, capacity scaling strategies, and AI-ready infrastructure
Coordinate cross-functional resources including engineering, supply chain, manufacturing partners, and delivery teams to ensure solutions are feasible, scalable, and aligned with customer timelines
Lead or support major proposal efforts and RFP responses for modular data center solutions, including technical positioning, commercial structuring, and value articulation
Support the creation of detailed solution architectures including modular data center configurations, cooling strategies (air and liquid)
Develop and maintain relationships with strategic ecosystem partners including cooling technology providers, modular construction manufacturers, and infrastructure integrators
Provide market intelligence and customer feedback to influence the evolution of the HPE POD portfolio

What we offer

Health & Wellbeing (comprehensive suite of benefits supporting physical, financial and emotional wellbeing)
Personal & Professional Development (programs to help reach career goals)
Unconditional Inclusion

Fulltime

Senior Manager Software Development

At Appian, we’re passionate about technology—we love making it, and we love usin...

Location

India , Chennai

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
15+ years of experience in software engineering
Proven track record in building and scaling distributed systems, preferably in cloud-native environments and modernization of platforms
AI/ML adoption
Proven experience leading development teams
Strong knowledge of enterprise application architecture
Leading engineering teams and managers
Deep Understanding software engineering, Algorithms and Data Structures
Experience in AI Adoptability and usage and ML is highly desirable
Proficiency in any programming Language (Java, C++, Python, other programming languages)

Job Responsibility

Manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives
Guide software engineers through solving ambiguous and complex problems
Champion an AI-first approach
Bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies
Lead and mentor a team of developers, architects, and analysts
Set very high standards for the team and in hiring talent
Manage end-to-end project delivery
Establish development standards, governance, and best practices
Drive cross-functional teams
Collaborate with stakeholders, product owners, and cross-functional teams

What we offer

Health coverage
Employee Assistance Program (EAP) with free mental health support
Life and disability insurance
Employee Stock Purchase Program (ESPP)
Retirement/pension plan
Wellness dollars
Tuition reimbursement
Family-forming benefits

Senior Software Development Manager

At Appian, we’re passionate about technology—we love making it, and we love usin...

Location

India , Chennai

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
15+ years of experience in software engineering
Proven track record in building and scaling distributed systems, preferably in cloud-native environments and modernization of platforms
Proven experience leading development teams
Strong knowledge of enterprise application architecture
Leading engineering teams and managers
Deep Understanding software engineering, Algorithms and Data Structures
Proficiency in any programming Language (Java, C++, Python, other programming languages)
Working knowledge of container technologies, orchestration frameworks (e.g., Kubernetes), and workflow automation
Familiarity with GPU computing and hybrid CPU/GPU architectures

Job Responsibility

Provide technical leadership for a specific product area
Directly drive the professional development of the engineers on your team
Manage development teams
Oversee architecture decisions
Ensure scalable, high-quality delivery aligned with business objectives
Guide software engineers through solving ambiguous and complex problems
Champion an AI-first approach
Bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies
Lead and mentor a team of developers, architects, and analysts
Set very high standards for the team and in hiring talent

What we offer

Health coverage
Employee Assistance Program (EAP) with free mental health support
Life and disability insurance
Employee Stock Purchase Program (ESPP)
Retirement/pension plan
Wellness dollars
Tuition reimbursement
Family-forming benefits

Senior AI Engineer

This is an exciting new role at Efficy, central to our next-generation CRM innov...

Location

France , Toulouse; Paris

Salary:

Not provided

efficy

Expiration Date

Until further notice

Requirements

Strong knowledge of the technical stack with excellent command of AI-related languages and frameworks
Experience architecting distributed, orchestrated AI systems (protocols, pipelines, integration into complex workflows)
Skills in cost-performance optimization for models (latency, GPU usage, scalability)
Strong analytical mindset, technical rigor, and ability to prioritize
Autonomy, proactivity, and ability to drive complex initiatives in a rapidly evolving environment
Excellent written and verbal communication skills in French and English (fluency required)

Job Responsibility

Define and execute the AI agents strategy within the CRM platform, ensuring strong business relevance and smooth integration into existing workflows
Design agent architectures, including MCP protocol, orchestration, tool calling, memory management, evaluation, contextualization, RAG, and prompt engineering
Oversee deployment of AI solutions in both multi-tenant SaaS and on-premise environments
Select, adapt, and industrialize European open-source models, optimizing cost-performance trade-offs
Ensure security, GDPR compliance, and explainability of all developed agents
Implement observability and evaluation tools, including tracing, A/B testing, and cost monitoring
Collaborate closely with Data Science, Product, and Engineering teams to guarantee technical and functional alignment

What we offer

A stable and growing company with an entrepreneurial mindset, where your ideas are valued, and we support you in making them happen
High flexibility—hybrid work is part of our DNA
State-of-the-art offices where teamwork is the norm
International growth opportunities and internal mobility
A competitive salary package with and a referral program
Engaging events: team lunches, after-work gatherings, sports activities, and trips
Learning opportunities: languages, technology, product knowledge, sales techniques, and leadership development

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

Finance Manager, Revenue Cloud & AI

Cloud and Artificial Intelligence (C+AI) is the fastest-growing business in Micr...

Location

United States , Redmond

Salary:

96500.00 - 188400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience
2+ years of experience with Microsoft Excel with the ability to extract and synthesize insights from large datasets

Job Responsibility

Leads the execution of annual business planning, monthly close, and quarterly forecasting for AI revenue, and delivers weekly revenue sizing and quarterly outlook insights to our senior leadership team
Builds scalable financial models and automated solutions to support decision-making across AI partnerships
Delivers monetization frameworks for triangulating GPU demand and supply
Highlights tradeoffs, assesses risks and opportunities, and influences pricing and capacity planning decisions in partnership with sales, engineering, and partner finance teams
Aligns stakeholders on key performance indicators and expected outcomes. Converts business insights into measurable impact, refines AI business models, and supports long-term revenue strategy for Azure AI
Acts as a culture champion driving continuous improvement and leading to “best place to work” environment
Drives the right tone from executive leadership and ensures strict adherence and understanding of Microsoft policies on risk and compliance. Influences leadership to ensure compliance is a top priority and modeled throughout the organization
Directs team and holds others accountable to ensure financial control processes, policies, instruments, and procedures are executed
Guides team and encourages others to identify and share risks to compliance and take steps to mitigate
Drives a compliant culture through actions and decisions to instill trust

Fulltime

Senior Machine Learning Engineer, Generative AI Products

Lead comprehensive applications/web development for highly complex projects; typ...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of five years’ software development experience with Python and SQL
Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka

Job Responsibility

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Global Lead Architect – Hybrid Cloud, AI & HPE Platform Delivery

A highly senior, customer-facing architecture and delivery leadership role respo...

Location

Bulgaria , Sofia

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12–15+ years in enterprise IT, with strong focus on: Solution architecture and delivery leadership
Hybrid cloud, AI/HPC, and infrastructure platforms
Proven background in professional services / delivery-led roles, not purely presales
Demonstrated experience leading large-scale, multi-technology programs end-to-end
Strong consulting mindset with excellent stakeholder and executive communication skills
Deep expertise in enterprise private cloud platforms and hybrid architectures
Strong understanding of workload migration, interoperability, and governance
AI platform design (GPU-based infrastructure, NVIDIA ecosystem)
HPC cluster architecture, workload schedulers (Slurm, PBS Pro), and performance tuning
Kubernetes ecosystems (OpenShift, Rancher, CNCF stack)

Job Responsibility

Serve as the technical validation authority during early sales cycles
Lead technical governance from opportunity qualification through delivery execution
Own solution integrity across the lifecycle—design, validation, implementation, and optimization
Architect and oversee end-to-end hybrid and private cloud solutions
Drive adoption of cloud-native, automated, and scalable architectures
Lead delivery teams across complex engagements
Act as the lead design authority ensuring delivery success for AI infrastructure and HPC deployments, Containerized platforms and cloud-native environments, Enterprise hybrid cloud transformations
Provide hands-on guidance during critical phases (design reviews, PoCs, escalations)
Lead technical due diligence during RFP/RFI responses, Solution workshops and discovery sessions, Proof-of-concept engagements
Translate business requirements into deliverable, production-ready architectures

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Select Country

Senior Manager, Business Development (AI GPU)

Job Description

Job Responsibility

Requirements

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