HCLTech AI

2 days ago

London, United Kingdom HCLTech Full time

HCLTech is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. Our technology products and services are built on four decades of innovation, with a world-renowned management philosophy, a strong culture of invention and risk-taking, and a relentless focus on customer relationships. HCLTech also takes pride in its many diversity, social responsibility, sustainability, and education initiatives. Through its worldwide network of R&D facilities and co-innovation labs, global delivery capabilities, and over 197,000+ ‘Ideapreneurs’ across 52 countries, HCLTech delivers holistic services across industry verticals to leading enterprises, including 250 of the Fortune 500 and 650 of the Global 2000.



HCLTech AI & Cloud Native Labs is the global Centre of Excellence guiding the application of advanced technologies and leading the way for clients and HCL employees worldwide. We engage with the world’s largest enterprises for strategic advice, accelerated engineering, and industry thought leadership to guide their AI, modernization and transformation outcomes. As industry leaders in cloud-enabled transformation, we sponsor industry bodies like the Cloud Native Computing Foundation (CNCF) and contribute to successfully deploying emerging technologies

.We deliver advanced engineering projects, enable industry collaboration, and work on enhancements to Kubernetes and other open-source projects driving change in the technology industry.


Description & Requirements


Position Summary


The Senior AI Architect is responsible for designing and implementing advanced AI and cloud architectures, with a strong emphasis on integrating generative AI technologies using Google Cloud Platform (GCP). This role requires a broad understanding of AI and cloud platforms, along with the ability to engage with customers on a variety of architectural topics in both cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, stays current with industry trends, and drives innovation within the organization and for clients. As a senior leader, you will interact frequently with customers, provide expert opinions, and contribute to HCL’s strategic vision.


Key Responsibilities


Technical & Engineering Leadership


  • Design and implement AI and cloud architectures, integrating GCP GenAI technologies like Gemini, GPT-4o, and Gemma to enhance functionality and scalability.
  • Lead architectural discussions with clients, providing expert guidance on best practices for AI and cloud integration using GCP.
  • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds using Google Kubernetes Engine(GKE).
  • Contribute to HCL’s thought leadership in the Cloud Native domain with a strong understanding of GCP technologies.
  • Collaborate on technical projects with global partners, leveraging GCP's extensive capabilities.


Service Delivery & Innovation


  • Develop GenAI solutions from ideation to MVP using GCP services such as Vertex AI, ensuring high performance and reliability within cloud-native frameworks.
  • Optimize AI and cloud architectures on GCP to meet client requirements, balancing efficiency and effectiveness.
  • Evaluate existing complex solutions and recommend architectural improvements to transform applications with GCP's cloud-native/12-factor characteristics.
  • Promote the adoption of GCP GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in GCP services.


Thought Leadership and Client Engagement


  • Provide architectural guidance to clients on incorporating GenAI and machine learning into their GCP cloud-native applications and architectures.
  • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships.
  • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on Ethics: Knowledge of AI Ethics and governance as it pertains to Generative AI and Predictive AI Models.
  • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture.
  • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing HCL’s industry leadership.


Collaboration and Multi-Customer Management


  • Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships.
  • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.
  • Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization.


Mandatory Skills & Experience


  • Experience: 8+ years in cloud and AI architecture design, 5+ years in software development, deploying, monitoring, and maintaining AI models in production environments on GCP.
  • Proficiency in data engineering for AI, including data pre-processing, feature engineering, and pipeline creation using Google Cloud Dataflow and BigQuery ML.
  • Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks.
  • Knowledgeable about AI ethics and bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
  • Serverless Computing and Distributed Systems on GCP.
  • Deep Learning Frameworks (TensorFlow, PyTorch) integrated with GCP AI Platform.
  • 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 HCL’s dynamic and high-energy Labs atmosphere.


Soft Skills and Behavioural Competencies


• Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals.


Location:·Any where in UK (Preferred London) or must be willing to travel on need basis.

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