Gautam Buddha Nagar, Uttar Pradesh
Job Summary
Highly skilled Intel OpenVINO / oneAPI Architect who will lead enterprise application optimization for Intel AI PCs (Core Ultra platform) and establish a scalable, managed services-led revenue stream for HCLTech in collaboration with Intel.
This role will bridge silicon capabilities, software optimization, and enterprise digital workplace services. This role is critical to enabling HCLTech to move up the value chain—from device deployment to AI-driven application optimization and managed services, leveraging Intel’s AI PC ecosystem.
Role Summary
Level: Principal Engineer
Primary Focus:
AI workload optimization on Intel AI PCs
OpenVINO / oneAPI-based application acceleration
Managed enterprise application optimization services
Customer advisory + solutioning
Key Responsibilities
Technical Leadership
Lead optimization of enterprise applications (ISV + custom apps) for:
Intel Core Ultra (CPU + GPU + NPU)
Hybrid AI workloads (cloud + edge + endpoint)
Design and implement solutions using:
Intel OpenVINO Toolkit
Intel oneAPI (DPC++, MKL, etc.)
Enable AI inferencing on edge / endpoint devices (AI PCs)
Solution Architecture & Innovation
Define reference architectures for:
AI PC-based Digital Workplace
Edge inferencing use cases
Build reusable optimization frameworks, accelerators, and toolkits.
Drive performance benchmarking and tuning for enterprise workloads.
Managed Services Development
Design and operationalize:
AI application optimization-as-a-service
Continuous performance tuning services
Create:
Service catalog
SLAs / KPIs
Automation frameworks
Ecosystem Collaboration
Work closely with:
Intel engineering & solution teams
ISVs and OEMs
Align with Intel programs:
AI PC acceleration
vPro / EMA integrations
Customer Engagement
Function as SME / Advisor in:
Pre-sales discussions
Solution workshops
PoCs / pilots
Translate customer workloads into:
Optimized AI-enabled solutions
Revenue & Practice Building
Build a self-sustaining practice around:
AI PC optimization services
Support:
Deal shaping
Value articulation (ROI, performance gains)
Enable internal teams through:
Training
Playbooks
GTM assets
Key Responsibilities
Key Deliverables expected
Establish baseline capabilities.
Identify top 3–5 use cases for AI PC optimization.
Build initial PoCs.
Develop:
Reference architectures
Optimization frameworks
Initiate pilot engagements with customers
Launch:
Managed services offering
Enable:
Sales + delivery teams
Contribute to:
Revenue pipeline and wins
Success Metrics (KPIs)
Technical
% performance improvement in optimized applications
Number of workloads optimized for AI PC
Business
Revenue generated from optimization services
Number of customer engagements / PoCs converted.
Practice Growth
Reusable assets created
Teams enabled / trained.
Skill Requirements
Required Technical Skills
Core Expertise
Intel OpenVINO Toolkit (Advanced)
Intel oneAPI (DPC++, oneMKL, oneDNN, etc.)
AI model optimization:
Quantization
Pruning
Model conversion
AI / ML Stack
Frameworks:
TensorFlow
PyTorch
ONNX
Experience with:
Model deployment pipelines.
Edge inferencing
Hardware & Systems Knowledge
Deep understanding of:
Intel Core Ultra architecture (CPU + GPU + NPU)
Heterogeneous computing
Performance profiling tools:
VTune
Intel Advisor
Software Engineering
Languages:
Python (mandatory)
C++ (preferred)
API integration and system-level optimization
Enterprise Workplace Context
Understanding of:
Digital Workplace / EUC environments
Endpoint management (e.g., vPro, EMA)
Experience optimizing:
Collaboration tools
Enterprise applications
Other Requirements
Preferred Experience
Prior experience working with:
Intel ecosystem or partner programs
OEMs (HP, Dell, Lenovo)
Exposure to:
Edge AI / IoT solutions
Industry verticals (E&U, Manufacturing, BFSI)
Experience in:
Managed services or AMS models
Business & Consulting Skills
Strong customer-facing communication
Ability to:
Articulate technical value in business terms.
Build ROI-driven narratives.
Experience in:
Pre-sales / solution consulting
Stakeholder management
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