Head / AI Architecture
: Job Details :


Head / AI Architecture

hcltech

Location: all cities,NJ, USA

Date: 2024-12-14T06:32:21Z

Job Description:

Key Responsibilities Technical & Engineering Leadership

  • Act as ultimate Design Authority for sophisticated AI solutions and related technology architecture. 2
  • Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments.
  • Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains.
  • Contribute to HCLTech thought leadership in the AI & Cloud domains with a deep understanding of open-source (e.g., Kubernetes, OPEA) and partner technologies.
  • Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.

Service Delivery & Innovation

  • Design innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
  • Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness.
  • Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
  • Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI capability across the full spectrum of environments.

Desired Skills & Experience

  • Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments.
  • Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
  • Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks.
  • Copilot design, engineering and extensions.
  • Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
  • Deep Learning Frameworks (TensorFlow, PyTorch)
  • Innovation and Emerging Technology Trends
  • Strategic AI Vision and Road mapping
  • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCLs dynamic and high-energy Lab culture.

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