Generative AI Architect

4 days ago

Reston, Virginia, United States Manifest Solutions Full time
Generative AI Architect

Manifest Solutions is seeking a highly skilled Generative AI Architect to join our team in Westerville, OH.

No C2C; No Third-parties - Applicants only

  • Collaborate with business teams, data scientists, software engineers, and other stakeholders to understand business objectives and define technical requirements.
  • Design and implement large-scale Generative AI solutions using advanced techniques such as retrieval augmented generation, transformer architectures, and more.
  • Develop and deploy applications using cutting-edge Generative AI models like OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Palm2, Meta Llama2 or Llama3.
  • Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing contextual understanding and response generation.
  • Evaluate and select suitable Generative AI technologies, tools, and frameworks to achieve required performance, precision, and scalability.
  • Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.
  • Design and maintain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.
  • Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.
  • Conduct regular code assessments and provide technical mentorship to junior team members.
  • Stay up-to-date on the latest trends and advancements in Generative AI technologies, frameworks, and algorithms, and identify opportunities for their use within the organization.
  • Collaborate with infrastructure teams to ensure seamless deployment and monitoring of Large Language Models in operational environments.
  • Document Generative AI design choices and technical specifications for reference and knowledge dissemination.
Requirements
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field.
  • At least 7 years of experience in artificial intelligence, machine learning, or data science.
  • Experience in Generative AI architectures and frameworks such as retrieval augmented generation, vectorization and embeddings, and multi-agent Generative AI architecture solutions.
  • Experience working with multiple Large Language Models (e.g., Azure Open AI GPT 3.5/4.0, Meta Llama2 or Llama3, Google Palm2).
  • Experience in designing and developing artificial intelligence solutions for various domains, such as natural language processing (NLP), computer vision, speech recognition, deep learning, etc.
  • Experience in deploying and monitoring artificial intelligence solutions on cloud environments (AWS and/or Azure)
  • Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
  • Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
  • Strong knowledge of the latest advancements in Generative AI technologies, frameworks, and platforms.
  • Knowledge of ethical considerations and responsible Generative AI practices.
  • Experience in leading or managing artificial intelligence projects or teams.
  • Strong communication and presentation skills, with the ability to explain complex artificial intelligence concepts and insights to technical and non-technical audiences.
Preferred Requirements
  • Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or related field
  • Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Certification or training in artificial intelligence, machine learning, or data science.
  • Experience in working with big data technologies, such as Hadoop, Spark, Kafka, etc.
  • Experience in working with web or mobile development technologies, such as HTML, CSS, JavaScript, React, Angular, etc.
  • Familiarity with agile or scrum methodologies and project management tools, such as Jira, Trello, etc.

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