FUlltime- AI Architect in San Jose CA (Onsite)

Overview

On Site
$160,000 - $180,000
Full Time

Skills

machine learning
"AI Architect"
LLM

Job Details

Responsibilities:
  1. Collaborate with Business Stakeholders:
    • Work closely with business leaders to understand organizational goals, challenges, and opportunities where AI solutions can provide value.
    • Translate business requirements into technical specifications and design scalable AI architectures that align with strategic objectives.
  2. Design Scalable AI Systems:
    • Architect end-to-end AI systems that are scalable, efficient, and maintainable.
    • Evaluate and select appropriate AI technologies and frameworks to meet project requirements.
    • Provide technical leadership in the development and deployment of AI solutions.
  3. Generative AI Systems:
    • Demonstrate hands-on experience in productionizing generative AI based systems.
    • Implement and optimize algorithms for LLM models, ensuring they meet both performance and reliability criteria.
    • Stay abreast of the latest advancements in generative AI and integrate cutting-edge techniques into our systems.
  4. Software Engineering:
    • Apply solid software engineering principles to develop robust and maintainable code.
    • Collaborate with software development teams to integrate AI components seamlessly into existing systems.
    • Conduct code reviews and ensure adherence to best practices and coding standards.
  5. Communication:
    • Act as a bridge between technical and non-technical stakeholders, effectively communicating complex AI concepts in a clear and understandable manner.
    • Present AI solutions to diverse audiences, including executives, project teams, and external partners.
    • Foster a collaborative and knowledge-sharing culture within the organization.
  6. Continuous Learning:
    • Stay informed about the latest trends, tools, and technologies in AI and machine learning.
    • Lead initiatives to incorporate emerging technologies into the AI architecture to enhance system capabilities.