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)
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
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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
Experience with:
Model deployment pipelines. Edge inferencing Hardware & Systems Knowledge
