AI Architect

Description & Requirements

Position Summary

The GCP Senior AI Architect is responsible for 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. Working closely with technology leaders from our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey.

This role demands a deep understanding of AI and related technologies running in Edge, on-prem, and Public Cloud environments, with a specific emphasis on GCP. Acting at the forefront of our industry, you will be fully conversant with Generative AI and its impact at both the individual employee and strategic organizational levels.

The ideal candidate will be an established thought-leader with solid architectural and engineering credentials, deeply passionate about technology-enabled business transformation, and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCL’s strategic vision.

Key Responsibilities

Technical & Engineering 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

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.