Generative AI Architect

M

Manifest Solutions

Generative AI Architect

Westerville, OH
Full Time
Paid
  • Responsibilities

    Manifest Solutions is currently seeking a Generative AI Architect for an onsite position in Westerville, OH.

    • Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.
    • Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.
    • Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.
    • Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
    • Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the 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.
    • Construct and sustain 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 frequent code assessments and provide technical mentorship to less experienced team members.
    • Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.
    • Cooperate with infrastructure teams to guarantee 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.