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Azure AI Solutions Leader
2 months ago
Overview
HCLTech is seeking a seasoned AI Architect to lead the design and implementation of advanced AI solutions and strategic architecture, focusing predominantly on Microsoft Azure 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 Azure.
- 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'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 Azure but not limited to Azure.
- 7+ years in software engineering
Technologies:
- Professional-level expertise in Public Cloud environments, with a focus on Azure services: Azure Virtual Machines, Azure Fabric, Azure Storage, Azure SQL Database, and Azure Data Lake.
- Demonstrable coding proficiency with Python, Java, or Go languages.
- Knowledge of GCP and/or AWS is an advantage.
AI Expertise:
- Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques.
- Working familiarity with Copilot solutions, in both software engineering and office productivity domains.
- Experience with Azure Machine Learning Studio, Azure ML SDK, and Automated ML.
- Proficiency in creating and managing chatbots using Azure Bot Framework, with a strong understanding of NLP and NLU.
- Experience with deploying and fine-tuning generative models using OpenAI APIs.
- Data Processing: Proficiency in data processing tools: Azure Data Factory, Azure Databricks.
Communication: Exemplary verbal and written communication skills.
Project Methodologies: Agile and Scrum project management.
Desired Skills & Experience
LLMOps & AI Governance: Proficient in GenAI operations, including managing AI models in production.
Data Engineering: Skilled in data preprocessing, feature engineering, and pipeline creation for AI.
Model Fine-Tuning: Expertise in fine-tuning and evaluating AI models to enhance performance for specialized tasks.
Copilot Engineering: Experience in designing, engineering, and extending Copilot solutions.
Responsible AI: Knowledgeable in Responsible AI practices, including governance, ethics, and bias mitigation strategies.
Deep Learning: Proficiency with frameworks such as TensorFlow and PyTorch.
Emerging Tech Trends: Keen awareness of innovation and emerging technology trends.
Strategic Vision: Ability to develop strategic AI visions and roadmaps.
Dynamic Environment: Enthusiastic about working in a fast-paced, cutting-edge environment,
Verifiable Certification:
- Recognized Professional certification from Microsoft 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.