Gen Al/Agentic Al Architect - 100% Remote

Role: Gen Al/Agentic Al Architect

Location: Remote

JD:

• Deep understanding of Generative Al concepts: This includes techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other models used for data generation.
• Proficiency in programming languages: This includes proficiency in Python, along with Al libraries and frameworks like TensorFlow, PyTorch, or Keras Experience with cloud platforms: This includes experience with cloud platforms, such as AWS or Azure, and knowledge of containerization and orchestration tools like Kubernetes.
• Strong understanding of machine learning and deep learning methodologies: This includes deep generative models, autoregressive models, and reinforcement learning for generative tasks. Domain knowledge and problem-solving skills: The role requires the ability to understand specific industry domains and apply Al solutions to address real-world challenges.
• Excellent communication and collaboration skills: This is necessary to effectively communicate complex Al concepts to both technical and non-technic. audiences.
• Enterprise GenAI Architecture & Strategy: The role defines and evolves the architecture for Generative Al systems within an organization. This includes creating scalable and secure platforms for various business domains and use cases.
• LLM Model Development & Deployment: The role leads the selection, fine-tuning, and deployment of large language models (LLMS) to ensure optimal
• performance, precision, and scalability.
• This involves working with various LLM models (like GPT, Claude, Gemini, or Llama) and related frameworks (e-g.. LangChain and Llama Index).
• Data Pipeline & BLOps: The role designs and implements data and ML pipelines, including data cleansing, pre-processing, model training or fine-tunin, and feedback loops. It also involves designing and managing CI/CD pipelines in the Generative Al space, including LLMOPS.
• Prompt Engineering & Model Optimization: The role develops advanced architectural patterns for prompt engineering and implements intent analysis techniques to enhance Al agent decision-making and user interactions.
• This also includes optimizing models for performance and efficiency.
• Cross-Functional Collaboration: The role collaborates closely with business teams, data scientists, software engineers, and other stakeholders to understand business needs and translate them into effective Generative Al architectures.
• This also involves promoting best practices through knowledge sharing and training.
• Security & Responsible Al: The role implements security measures and ensures compliance with ethical considerations and responsible Al practices. Th involves assessing and mitigating risks and promoting transparency and explainability.
• Innovation & Thought Leadership: The role stays up-to-date on the latest trends and advancements in Generative Al technologies and identifies opportunities for their use within the organization. This also includes serving as a thought leader and influencing both technical strategies and executive level decisions.