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Vertiv · 5 hours ago

AI Architect

Vertiv is a global critical infrastructure and data center technology company that ensures customers' vital applications run continuously. They are seeking a Generative AI Architect to lead the design and development of Generative AI solutions across various business domains, collaborating with cross-functional teams to meet business needs and deliver scalable architectures.
Data CenterInformation TechnologyIT InfrastructureTelecommunications
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Responsibilities

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

Qualification

Generative AI architectureLarge Language ModelsCloud deploymentProgramming languagesArtificial Intelligence projectsEthical AI practicesProblem-solving skillsCommunication skillsCollaboration skills

Required

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

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

Company

Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities.

Funding

Current Stage
Public Company
Total Funding
$1.24B
Key Investors
Starboard ValuePlatinum Equity
2022-10-20Post Ipo Equity
2020-02-10Post Ipo Equity· $1.24B
2020-02-10IPO

Leadership Team

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Giordano Albertazzi
Chief Executive Officer
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Peter Lambrecht
Vice President Sales EMEA
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Company data provided by crunchbase