Tech Lead TECHM-JOB-30251

Keylent, Inc.

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience as an AI Architect or in a similar role.
  • Strong software engineering background with expertise in scalable systems design.
  • Hands-on experience in deploying generative AI-based systems.
  • Proficient in AI and machine learning frameworks like TensorFlow or PyTorch.
  • Excellent communication skills for engaging both technical and non-technical audiences.
  • Demonstrated leadership in steering AI projects from concept through deployment.

Responsibilities

  • Collaborate with business leaders to identify AI opportunities aligned with organizational goals.
  • Translate business needs into technical specifications for scalable AI architectures.
  • Architect end-to-end AI systems for efficiency and maintainability.
  • Select suitable AI technologies and frameworks for project needs.
  • Provide technical leadership for the development and deployment of AI solutions.
  • Optimize algorithms for large language models in production settings.
  • Communicate effectively with diverse audiences about AI solutions.

Benefits

  • Opportunity to work in a dynamic AI-focused environment.
  • Engagement with cutting-edge generative AI technologies.
  • Collaborative culture promoting knowledge sharing.
  • Potential for career advancement in a rapidly evolving field.
Full Job Description
Tech Lead TECHM-JOB-30251 Position :-AI Architect FULL TIME Location :- San Jose CA (Onsite) Note :- profiles with strong AI/Client experience and awareness of LLMs who are willing to work from Bay area. Job Overview: We are seeking an experienced and dynamic AI Architect who possesses a unique blend of technical expertise, strategic vision, and excellent communication skills. The ideal candidate will play a pivotal role in collaborating with business stakeholders, designing scalable AI systems, and implementing generative AI solutions for production environments. As an AI Architect, you will leverage your strong background in software engineering to create innovative and efficient solutions that meet the evolving needs of our organization. Responsibilities: 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. 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. 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. 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. 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. 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. Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or similar role. Strong background in software engineering with expertise in designing and implementing scalable systems. Hands-on experience in productionizing generative AI-based systems. Proficient in AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated leadership in driving AI projects from conception to deployment.

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