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