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Senior AI Solutions Architect

2 months ago

London, Greater London, United Kingdom HCLTech Full time
About the Role

We are seeking a highly skilled and experienced Senior AI Solutions Architect to join our team at HCLTech. As a key member of our organization, you will play a critical role in leading the design and implementation of advanced AI solutions and strategic architecture, focusing predominantly on Google Cloud Platform (GCP) services but not limited to them.

Key Responsibilities
  • Technical Leadership
    • Design comprehensive AI solution and technology architecture, integrating the latest AI technology developments into world-class solutions, predominantly focusing on GCP.
    • 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 HCL's thought leadership in the AI & Cloud domains with a deep understanding of open-source technologies (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
    • Architect 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 the latest AI technologies.
    • Drive the adoption of cutting-edge GenAI technologies, spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
  • Thought Leadership and Client Engagement
    • Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
    • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships.
    • Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery.
    • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies.
    • Engage with multiple customers simultaneously, providing high-impact consultative 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
    • 10+ years architecture design, predominantly GCP but not limited to GCP.
    • 7+ years in software engineering.
    Technologies
    • Professional-level expertise in Public Cloud environments, with a focus on GCP services: Compute Engine, Cloud Storage, Cloud SQL, BigQuery and Vertex AI.
    • Demonstrable coding proficiency with Python, Java, or Go languages.
    • Knowledge of MS Azure and/or AWS is an advantage.
    AI Expertise
    • Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques.
    • Experience with Vertex AI Workbench, Vertex AI Training, and Vertex AI Prediction.
    • Working familiarity with Copilot solutions, in both software engineering and office productivity domains.
    • Proficiency in creating and managing conversational agents using Dialogflow, with a strong understanding of NLP and NLU.
    • Experience with deploying and fine-tuning generative models using Gemini and API integration.
    • Working familiarity with Copilot solutions, in both software engineering and office productivity domains.
    • Data Processing: Proficiency in data processing tools: Dataflow, Dataproc.
    Communication

Exemplary verbal and written communication skills.

Project Methodologies

Agile and Scrum project management.

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 HCL's dynamic and high-energy Lab culture.
Verifiable Certification
  • Recognized Professional certification from Google in an AI and/or Cloud-related domain.
Soft Skills and Behavioural Competencies
  • Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective cross-cultural collaboration. Expert at driving organizational change and fostering a culture of innovation.