Private Cloud AI Solutions Architect

Private Cloud AI Solutions ArchitectThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

Global Sales at HPE is about building the future. We are redefining what’s next and combining our legacy of innovation with a bold new goal to accelerate everything we do. Our sales organization is comprised of 10,000+ professionals in sales, presales, service, and support functions. Together with our partners, we deliver global, commercial, public sector & small/medium business customers throughout 11 geographies. We’re transforming businesses. Join us redefine what’s next for you.

Job Family Definition:

Responsible for architecting solutions that will achieve customer business outcomes either within a specific technical domain, or across the broader company portfolio (hardware, software, services, and as a service offerings) in combination with all necessary third-party components (e.g. software and integration). Develops and articulates compelling, accurate, and relevant proposals and ensures customer's business and technical requirements are met. Can be aligned to a specific area of technical expertise (e.g., products, solutions, services). Provides technical expertise to sales teams and customers (through sales presentations, product/solution demonstrations, etc.) aimed at gaining the customer mindshare within their domain. These jobs focus on technical selling to customers/partners. May be aligned to specific accounts based on business priority.

Management Level Definition:

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.

We are seeking an experienced Pre-Sales Solutions Architect to drive adoption of HPE Private Cloud AI (PCAI), HPE Data Fabric, and AI/Data Analytics solutions across enterprise customers in India.

The ideal candidate will bring a strong blend of AI Engineering, Data Science, Data Engineering, MLOps, and Solution Consulting expertise, enabling customers to design and operationalize enterprise AI platforms, GenAI applications, Agentic AI solutions, and modern data architectures.

What you’ll do:

Responsibilities:

• Demonstrates in-depth knowledge in one or more solution domains, company products, services, and solutions as well as the customer’s technical and business environment..
• Communicates how the solution value propositions addresses customer business needs.
• Tracks leading-edge and emerging technologies.
• Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media.
• Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry.
• Actively gathers and applies competitive intelligence as a critical component of account support.
• Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment.
• Drive technical sales of HPE PCAI, HPE Data Fabric, and AI/Data solutions across all industry verticals.
• Engage CXOs, Data & AI leaders, and Enterprise Architects to identify business opportunities.
• Lead customer workshops, solution discovery sessions, and executive presentations.
• Support RFPs, RFIs, technical proposals, BoMs, and solution sizing.
• .

What you need to bring:

Education and Experience:

• First-level university technical degree or equivalent technical qualifications. Advanced degree in technology preferred.
• 8–12 years of technical experience in IT with a focus on technical consulting and solution selling
• Knowledge-based as well as 1+ experienced-based relevant industry certifications very strongly preferred.
• Enterprise architecture frameworks and project management methodologies and certifications are helpful, but not required.

Knowledge and Skills:

• Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements.
• Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs.
• Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return.
• Advanced understanding of aaS business model variations.
• Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals.
• Strong understanding of LLMs, RAG, AI Agents, Agentic Workflows, KV Cache, and Fine-Tuning.
• Expertise around Understanding of Sizing of Compute, GPU, Storage, KV Cache, Networking, Security of AI Workload etc
• Hands-on experience with Python, SQL, APIs, and Data Engineering frameworks.
• Practical experience deploying AI/ML workloads on Kubernetes-based platforms.
• Knowledge of enterprise data platforms, analytics, and data lakehouse architectures.

• AI & GenAI Platforms
  • HPE Private Cloud AI (PCAI)
  • NVIDIA AI Enterprise
  • HPE AI Essentials along with HPE MLIS
  • RAG, Agentic AI, LLMOps, AI Governance
• MLOps & AI Engineering
  • Kubeflow
  • MLflow
  • JupyterLab
  • KServe
  • Ray
  • LiteLLM
  • MCP
  • Langflow
  • OpenWebUI
  • Agentic Toolkit
• Data Engineering & Analytics
  • Apache Spark
  • Apache Airflow
  • Presto/Trino
  • Apache Superset
  • Data Lakehouse Architectures
  • Data Pipelines & Data Governance
• Platform Technologies
  • NVIDIA Tools and Frameworks, GPU Operator, BCM
  • HPE Kubernetes Platform
  • Containers & GPU Infrastructure
• Hybrid Cloud Architectures

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india#sales

Job:

Sales

Job Level:

TCP_04

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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