Gen AI Architect
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer
Gen AI Architect
The Gen AI Architect plays a crucial role in shaping and leading the architecture, development, and deployment of next-generation AI applications within the organization. This role is pivotal in driving the company's objectives by leveraging advanced machine learning models, robust data engineering pipelines, and cloud-native infrastructure to deliver scalable, high-quality solutions. The architect will be at the forefront of technology innovation, ensuring alignment with HCLTech's strategic goals.
Detailed Responsibilities
- Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure.
- Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions.
- Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence.
- Make critical architectural decisions to optimize performance, scalability, and reliability of systems.
- Collaborate with stakeholders to align technological solutions with business objectives.
- Stay updated with emerging technologies and industry best practices to ensure continuous improvement.
Skill Requirements
- Hands-on experience in GCP, Data Engineering, or Dev Ops is highly advantageous.
- Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams.
- Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.
- Strong programming skills in Python, JavaScript, Java, or other backend languages.
- Experience with API development (RESTful APIs, GraphQL).
- Extensive experience in building and deploying ML models using Tensor Flow, PyTorch, scikit-learn, and spaCy.
- Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills.
- Familiarity with industry best practices and emerging technologies in AI and machine learning
Skill or Category
- Evaluation Focus
Software Engineering Experience
- Hands-on experience in software engineering, including leadership roles
System Architecture Design
- Designing complex systems integrating GenAI, APIs, and cloud infrastructure
Programming Skills
- Proficiency in Python, JavaScript, Java, or other backend languages
API Development
- Experience in developing RESTful APIs and GraphQL
Machine Learning Models
- Building and deploying ML models using Tensor Flow, PyTorch, scikit-learn, spaCy
Leadership and Team Management
- Managing cross-functional teams with problem-solving and communication skills
Cloud Infrastructure
- Development of cloud-native applications
Emerging Technologies
- Staying updated with industry best practices and emerging AI technologies
GCP and Data Engineering
- Hands-on experience in Google Cloud Platform and data engineering
Dev Ops
- Experience with Dev Ops practices and tools
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