Gen AI Architect

TechDigital Group; Raritan (NJ); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

A leading technology company is seeking a Gen AI Architect to spearhead the architecture and deployment of cutting-edge AI applications. The role involves managing engineering teams to build scalable solutions that align with business objectives, while ensuring technological innovations meet industry standards.

Qualificações

• Minimum 8+ years of experience in software engineering, including leadership roles.
• Proficiency in designing complex systems that integrate GenAI, APIs, and cloud infrastructure.
• Experience with hands-on coding in Python, JavaScript, Java, or similar backend languages.

Responsabilidades

• Architect and design complex systems integrating GenAI applications and cloud infrastructure.
• Lead and manage a cross-functional engineering team delivering scalable solutions.
• Stay updated with emerging technologies and best practices to drive innovation.

Conhecimentos

Leadership

Problem-Solving

Communication

Machine Learning

API Development

Cloud Infrastructure

Programming

Ferramentas

GCP

TensorFlow

PyTorch

scikit-learn

spaCy

Descrição da oferta de emprego

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 technologiesand industry best practices to ensure continuous improvement.

SKILL REQUIREMENTS

• Hands-on experience in GCP, Data Engineering, or DevOps 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 TensorFlow, 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 TensorFlow, 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
DevOps	Experience with DevOps practices and tools