Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
No Travel Required
Skills
Gen AI
Job Details
A Generative AI Architect designs and implements the infrastructure, systems, and pipelines for AI initiatives, focusing on solutions that can learn, reason, and generate new content or insights. They typically work with machine learning, deep learning, and AI algorithms to build and deploy intelligent systems.
Responsibilities:
- Architecture and Infrastructure: Develop and manage the necessary infrastructure for AI projects, including data pipelines, model deployment, and cloud infrastructure.
- AI System Design: Design and build AI systems that can autonomously learn, reason, and make decisions based on data inputs.
- Model Selection and Optimization: Choose the appropriate AI models and techniques for specific use cases, and optimize their performance.
- Collaboration: Work with cross-functional teams, including data scientists, engineers, and business stakeholders, to align AI initiatives with business goals.
- Ethics and Governance: Ensure adherence to AI ethics, governance, and best practices.
- Prompt Engineering: Develop and refine prompts to optimize AI model outputs.
- Continuous Improvement: Continuously evaluate and improve AI systems and pipelines.
Key Skills:
- AI and Machine Learning: Expertise in AI algorithms, machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), and deep learning models.
- Programming: Proficiency in programming languages like Python, R, or Java, as well as frameworks like TensorFlow or PyTorch.
- Data Management: Knowledge of data structures, algorithms, and database systems.
- Software Engineering and DevOps: Experience in building and deploying software, as well as managing infrastructure and operations.
- Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and their AI services.
- Communication and Collaboration: Strong communication and collaboration skills to effectively work with cross-functional teams.
- AI Ethics and Governance: Understanding of AI ethics and governance principles.
- Prompt Engineering: Ability to design and optimize prompts for AI models.
- Natural Language Processing (NLP): Familiarity with NLP techniques and tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.