Description
Hewlett Packard Enterprise is seeking an experienced Private Cloud AI 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.
Responsibilities:
- Demonstrate in-depth knowledge in one or more solution domains, company products, services, and solutions as well as the customer's technical and business environment.
- Communicate how the solution value propositions address customer business needs.
- Track leading-edge and emerging technologies.
- Contribute to industry development for one or more domains through conferences and industry events.
- Incorporate an understanding of technology trends within the IT industry, as well as the customer's industry.
- Actively gather and apply competitive intelligence as a critical component of account support.
- Drive 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:
- 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.
- 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