Generative AI Architect

Manifest Solutions is seeking a highly skilled Generative AI Architect to join our team.

• Collaborate with cross-functional teams to understand business objectives and define technical requirements.
• Design and implement large-scale Generative AI solutions using advanced techniques such as retrieval augmented generation and transformer architectures.
• Develop and deploy applications using state-of-the-art Generative AI models like OpenAI GPT 3.5 or 4.0, Anthropic Claude, and Google PaLM 2.
• Apply frameworks like 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 optimal performance, precision, and scalability.
• Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with best 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.
• Assess Large Language Models and systems for optimal performance, scalability, and efficiency.
• Provide technical mentorship and conduct code assessments for 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 PaLM 2).
• 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.