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. 1 • 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 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 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. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in Google Cloud Platform; Google Kubernetes Engine (GKE) and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., Gemini, GPT-4o, Gemma), NLP techniques, Vector Databases, Fine-Tuning and GCP Vertex AI components. Proficiency in machine learning, deep learning, and natural language processing technologies. Experience with GCP's AI tools such as Vertex AI, TensorFlow, and AutoML is required • Big Data: Experience with BigQuery, Google Cloud Dataflow, and Google Cloud Storage.
• Ethics: Knowledge of AI ethics and governance as it pertains to Generative AI and Predictive AI. models • Methodologies: Agile and Scrum project management.
Desired Skills & Experience • Deep knowledge of machine learning operations (MLOps) and experience in deploying, monitoring, and maintaining AI models in production environments on GCP. • Proficiency in data engineering for AI, including data preprocessing, 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 Roadmapping. • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about Client’s dynamic and high-energy Labs atmosphere.