Senior Generative AI Architect

4 weeks ago

Charlotte, North Carolina, United States Strategic Staffing Solutions Full time

Job Title: Senior Generative AI Architect

Location: Remote

Pay: Competitive hourly rate

Job Type: 24+ Month Contract

Experience Level: 2-4 years of work experience in AI development

Job Summary

We are seeking an experienced and highly skilled Senior Generative AI Architect to join our innovative team at Strategic Staffing Solutions. The ideal candidate will have a strong background in artificial intelligence, machine learning, and software development, focusing on leading the development of cutting-edge Generative AI solutions. This role emphasizes Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and cloud-based AI services to create transformative business applications.

Key Responsibilities

  • Design & Development: Lead the design, implementation, and maintenance of high-performance RAG systems and LLM orchestration tailored to business needs.
  • LLM Expertise: Work extensively with LLMs (e.g., Claude, GPT) to develop and optimize AI applications, leveraging their strengths while managing limitations.
  • LLM Evaluation: Research and evaluate different LLM models and versions based on business requirements, guiding them through approval processes and building documentation.
  • Orchestration Tools: Utilize orchestration tools such as Haystack and LangChain to enhance development efficiency and improve model performance.
  • Cross-functional Collaboration: Collaborate with cross-functional teams to define and implement effective AI strategies and solutions.
  • Stay Updated: Keep up with the latest LLM advancements and integrate them into ongoing projects after obtaining the necessary approvals.
  • Cloud Services: Hands-on experience with cloud platforms, preferably AWS, using services like Bedrock to deploy and manage LLMs.
  • DevOps & Deployment: Leverage AWS services, including Lambda functions, for deployment and pipeline management with DevOps tools.
  • Demonstrations: Showcase the power of Generative AI to various audiences, including higher leadership and business stakeholders.
  • Mentorship: Mentor junior developers and foster a collaborative, innovative environment within the team.
  • Responsible AI: Prioritize responsible AI practices, ensuring ethical and compliant GAI development.
  • Prompt Engineering: Develop and implement prompt engineering techniques using templates (e.g., JinJa) for optimized LLM performance.
  • Vector Databases & Search Algorithms: Experience in designing and implementing search engines, vector databases, and similarity search algorithms.
  • Best Practices: Develop and maintain best practices for GAI development, testing, and deployment processes.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a lead developer or in a similar AI-focused role.
  • In-depth knowledge of LLMs, particularly transformer-based architectures and fine-tuning techniques.
  • Strong proficiency with AWS services, especially Bedrock, for deploying and managing AI solutions.
  • Expertise in LLM orchestration tools (e.g., Haystack, LangChain).
  • Strong problem-solving abilities and the capacity to work under pressure.
  • Excellent communication and leadership skills, with the ability to manage multiple projects and tight deadlines.

Work Experience

  • 2-4 years of relevant work experience in AI development, particularly with LLMs and cloud platforms.

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