Sovereign AI Enterprise Architect Job at Hewlett Packard Enterprise (Spring, Texas)

Advisory and Professional Services Sovereign AI Enterprise Architect

USA Advisory and Professional Services Sovereign AI Enterprise Architect (US). T...

Location

United States , Spring

Salary:

161000.00 - 378000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes)
5+ years hands-on Linux experience
Familiarity with SLURM on Kubernetes frameworks (Slinky, SUNK, etc.)
Strong demonstrated background working with Ansible automation frameworks
Familiarity with leveraging REST APIs for product integrations
Familiarity with HPC architectures, network topologies, and high performance storage platforms
Knowledge of NVIDIA's AI Enterprise tools, specifically BCM and DCGM for deploying and managing
Experience with Sovereign Cloud, MLOps, or compliance-led AI deployments
Familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks
Background in professional services, consulting, or large-scale transformation programs

Job Responsibility

Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements
Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks
Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints
Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies
Identify, assess, and manage risks across the AI solution lifecycle
Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring
Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks
Embed security-by-design and risk-by-design in architecture, deployment, and operations
Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring
Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Apj Advisory and Professional Services Sovereign Ai Enterprise Architect

APJ Advisory and Professional Services Sovereign AI Enterprise Architect. This r...

Location

India , Mumbai

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes) - microk8s and kubespray should not be considered demonstrated background
Familiarity with SLURM on Kubernetes frameworks (Slinky, SUNK, etc.)
Strong demonstrated background working with Ansible automation frameworks
Familiarity with leveraging REST APIs for product integrations
Familiarity with HPC architectures, network topologies, and high performance storage platforms
Knowledge of NVIDIA's AI Enterprise tools, specifically BCM and DCGM for deploying and managing
10+ years’ experience in enterprise sales or sales leadership within IT services, cloud, AI/ML, or data/analytics domains
5+ years hands-on Linux experience
Strong grounding in data architecture, ML lifecycle, cloud platforms (AWS/Azure/GCP/Greenlake), MLOps tooling, security/privacy frameworks, APIs/integration patterns, with the ability to translate technical concepts into business value
Proven experience selling complex technology solutions to enterprise and/or public sector organizations

Job Responsibility

Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements
Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks
Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints
Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies
Identify, assess, and manage risks across the AI solution lifecycle
Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring
Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks
Embed security-by-design and risk-by-design in architecture, deployment, and operations
Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring
Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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

Sr Cloud Solution Architect - Cloud & AI Data

Join Microsoft’s US Public Sector Industries DIB Team—where mission meets innova...

Location

United States , St. Louis

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field AND 4+ years of experience in cloud/infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, architecture, or consulting OR equivalent experience
Active U.S. Government Top Secret Security Clearance
U.S. citizenship
Ability to pass Microsoft Cloud background check
Technical expertise in Azure Data Services, Synapse, Postgres, SQL, Databricks, Fabric, and Purview
Proficiency in Azure Kubernetes Service (AKS) and Azure API Management (APIM)
Exposure to DevSecOps principles and practices
Familiarity with DIB mission priorities, including compliance frameworks such as FedRAMP High, ITAR, and DFARS
Experience delivering data platform solutions in regulated or classified environments, including Azure Government, GCC High, and sovereign cloud deployments
Strong understanding of Zero Trust architecture, agentic DevOps, and secure-by-design principles for disconnected and mission-critical environments

Job Responsibility

Leading the modernization of customer data estates using Microsoft’s cloud-native services by designing and deploying secure, scalable architectures with Azure Data Services, Synapse, Fabric, and Purview
Aligning data platform strategies to mission outcomes, especially in regulated and classified environments
Supporting both commercial defense contractors and federal agencies through tailored data solutions, integrating Zero Trust principles, data governance, and compliance frameworks (e.g., ITAR, CMMC, FedRAMP)
Ensure data security across GCC, GCCH, and sovereign cloud environments and collaborate with security CSAs to deliver Purview, Information Protection, and Insider Risk Management capabilities
Proficient in usage of Azure Application services, including Azure AI Gateway, Azure AI Foundry, Azure Kubernetes Service (AKS), and GitHub Copilot
Support Azure Commercial, Government, Secret, and Top Secret and FedRAMP High environments with deep technical guidance on compliance, resiliency, and Zero Trust architectures

Fulltime

AI Safety Business Development Manager

The Business Development Senior Manager entails responsibilities for working wit...

Location

United States , Santa Clara

Salary:

186720.00 - 280080.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expertise in SLMs/LLMs, transformer architectures, inference optimization, and on-device AI
Strong engineering background in Python, C/C++, or Rust
Experience with safety tuning, RLHF/RLAIF, policy enforcement layers, and red-teaming
Understanding of provenance, trusted compute, and security architectures
Strong command of AI risk frameworks and global regulatory landscape
Ability to convert governance requirements into technical controls and partner-ready solutions
Demonstrated cross-functional leadership across hardware, software, policy, and research teams
Bachelors or Masters degree in computer engineering/Electrical Engineering preferred

Job Responsibility

Lead global Trustworthy AI strategy aligned with ISO/IEC 42001, NIST RMF, EU AI Act
Design and implement AI safety guardrails, dialogue governance, jailbreak defense, content moderation, and accuracy assurance pipelines
Drive program management for safe-by-design development across hardware, software, and model teams
Translate silicon-level trust features into differentiated safety solutions for global partners
Define 'trusted inference mode' by integrating hardware signals with software guardrails
Build research and policy collaborations with universities, governments, AAAI, standards bodies, NGOs, and industry alliances
Represent the organization in global forums, conferences, and executive briefings
Architect safe AI deployment patterns for national AI strategies, enterprise rollouts, and sovereign AI initiatives

What we offer

AMD benefits at a glance

Fulltime

Azure Infrastructure Cloud Solution Architect

As an Azure Infrastructure Cloud Solution Architect (CSA) within the Customer Su...

Location

Australia , Canberra

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Technical Expertise: Deep experience across Azure Infrastructure, including: Virtual Machines, compute, and scaling
Networking (hybrid connectivity, security architectures)
Storage, backup, and disaster recovery (ASR / Backup)
Monitoring and observability (Azure Monitor / Insights)
Governance and compliance (Azure Policy, RBAC, landing zones)
Strong understanding of hybrid cloud and sovereign architectures
Experience designing production-grade, secure enterprise environments
Security & Compliance (Critical for FDI): Experience working with regulated environments (Government / Defence preferred)
Knowledge of: ISM (Information Security Manual)

Job Responsibility

Secure Platform Delivery & Execution: Lead the deployment and stabilization of Azure infrastructure environments (landing zones, networking, governance frameworks)
Remove blockers impacting mission-critical delivery milestones
Ensure environments meet security, compliance, and accreditation requirements (ISM, PSPF)
Support and resolve technical incidents in partnership with Microsoft Support and Engineering
Architecture & Cloud Platform Design: Design scalable, secure Azure infrastructure architectures aligned to Government and Defence standards
Build repeatable platform patterns for multi-workload environments (Defence platforms, shared services, etc.)
Enable transition from pilot to production-grade, enterprise-scale deployments
Support hybrid and sovereign scenarios using Azure-native and hybrid capabilities
Consumption & Adoption Growth: Enable workload onboarding and accelerate Azure usage through platform readiness
Reduce friction between design and deployment to drive sustained consumption growth

Fulltime

Senior Commercial Sales Account Manager - Federal Accounts

AMD is seeking a Senior Commercial Sales Account Executive – Australian Federal ...

Location

Australia , Canberra

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Demonstrated success selling into Australian Federal Government departments or large public sector organisations
Proven ability to manage complex, multi‑stakeholder, long‑cycle sales engagements with formal governance and procurement
Track record of developing and executing enterprise‑level, multi‑year account strategies
Experience managing whole‑of‑government or multi‑agency initiatives involving multiple partners and solution domains
Strong experience working with global OEMs, systems integrators, cloud providers, and sovereign delivery partners
Ability to orchestrate partner‑led solutions while maintaining clear account ownership and commercial accountability
Solid understanding of data centre infrastructure, servers, GPUs, AI acceleration, cloud platforms, and commercial client computing
Ability to position technology in terms of mission outcomes, security, performance, efficiency, and total cost of ownership, not features

Job Responsibility

Own and grow revenue, pipeline, and strategic footprint across assigned Australian Federal Government departments and agencies, leveraging both direct and partner‑led go‑to‑market motions
Develop a deep understanding of agency missions, ICT strategies, cyber and data sovereignty requirements, policy drivers, and budget cycles
Position AMD as a long‑term strategic technology partner, supporting whole‑of‑government and agency‑specific initiatives rather than transactional product sales
Develop and execute multi‑year Federal Government account plans, including: Opportunity prioritisation and timing against budget and procurement cycles, Executive and technical stakeholder mapping, Partner and ecosystem strategy
Lead cross‑functional Account Squads (sales specialists, solution architects, marketing, partners) to execute the strategy, fully documented and governed in Salesforce (SFDC)
Build and manage a robust, qualified pipeline, ensuring disciplined opportunity management, forecasting accuracy, and risk visibility
Build trusted relationships with CIO, CTO, CISO, Chief Architect, SES Band 2–3 leaders, and senior procurement stakeholders
Engage in architecture‑level and strategy discussions covering data centre modernisation, cloud adoption, AI/ML, secure compute, and sovereign capability
Orchestrate executive‑to‑executive engagement between AMD leadership and Federal Government customers to support strategic initiatives
Act as a strong internal advocate for Federal Government customers, escalating risks, blockers, and feedback to drive resolution

Fulltime

Senior Cloud Solution Architect - Apps

Join Microsoft’s US Public Sector Industries DIB Team—where mission meets innova...

Location

United States , St. Louis

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field AND 4+ years of experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, architecture, or consulting OR equivalent experience
Active U.S. Government Top Secret Security Clearance
U.S. citizenship
Ability to work on site in St. Louis, MO
Deep understanding of Azure Application services, including Azure AI Gateway, Azure AI Foundry, Azure Kubernetes Service (AKS), and GitHub Copilot
Support Azure Government, Secret, and Top Secret and FedRAMP High environments with deep technical guidance on compliance, resiliency, and Zero Trust architectures
Understanding of FedRAMP, ITAR, DFARS, and Zero Trust architectures for Azure Gov and Secret environments
Knowledge in Azure secure enclaves and MS-ISR, specifically application and data architecture, RMF/ATO awareness, IL6 aligned data and application patterns, and secure data movement (batch ingestion, controlled transfer models)
App Platform Expertise: Proficiency in Azure App modernization, Logic Apps, containerization patterns, API-based integration, DevSecOps pipelines, CI/CD under disconnected or semi-connected conditions, and integration with M365 workloads
Demonstrated technical depth in Azure application services, including Azure Functions, Logic Apps, Power Platform, and AI integration

Job Responsibility

Architect and deliver agentic AI applications and secure DevOps pipelines tailored to DIB mission platforms, systems integrators, and digital-native defense startups
Lead technical engagements that accelerate secure, AI-powered transformation across mission-critical Defense workloads in an Air-gapped Cloud environment
Collaborate with engineering, delivery, and account teams to modernize platforms and applications in enclave-based deployments and drive innovation aligned to national security priorities
Translate mission workloads (Apps & Data) into deployable architectures, supporting secure data platforms, app hosting patterns, and DevSecOps pipelines
Deliver deep technical expertise in Azure application modernization and agentic AI, drive usage excellence across mission workloads, and accelerate adoption of Microsoft’s cloud and AI platforms within classified, sovereign, and disconnected environments

Fulltime

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Sovereign AI Enterprise Architect

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