Sign upLog in
See more jobs

Gen AI Architect

TechDigital

  • Raritan, NJ
  • 2 days ago

    Highlights

    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 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.

    Numbers & Facts

    LocationRaritan, NJ
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    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 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 CategoryEvaluation Focus
    Software Engineering ExperienceHands-on experience in software engineering, including leadership roles
    System Architecture DesignDesigning complex systems integrating GenAI, APIs, and cloud infrastructure
    Programming SkillsProficiency in Python, JavaScript, Java, or other backend languages
    API DevelopmentExperience in developing RESTful APIs and GraphQL
    Machine Learning ModelsBuilding and deploying ML models using TensorFlow, PyTorch, scikit-learn, spaCy
    Leadership and Team ManagementManaging cross-functional teams with problem-solving and communication skills
    Cloud InfrastructureDevelopment of cloud-native applications
    Emerging TechnologiesStaying updated with industry best practices and emerging AI technologies
    GCP and Data EngineeringHands-on experience in Google Cloud Platform and data engineering
    DevOpsExperience with DevOps practices and tools

    Similar Jobs