Overview
On Site
USD 80.00 - 89.00 per hour
Full Time
Skills
Natural Language Processing
Computer Vision
Docker
Orchestration
Kubernetes
SQL
NoSQL
Database
Continuous Integration
Continuous Delivery
Algorithms
User Experience
UI
Scalability
Documentation
Computer Science
Generative Artificial Intelligence (AI)
Programming Languages
Python
JavaScript
Machine Learning (ML)
TensorFlow
PyTorch
Use Cases
React.js
AngularJS
Vue.js
Node.js
Django
Flask
Artificial Intelligence
Workflow
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
DevOps
Problem Solving
Conflict Resolution
Communication
Articulate
DICE
Job Details
JOB TITLE: Generative AI Architect
JOB LOCATION: Remote
WAGE RANGE*: 80 - 89/ hour must be W2
JOB NUMBER:18419-1
CONTRACT TO HIRE SALARY 170k
REQUIRED EXPERIENCE:
o Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE:
o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
o Experience with database technologies such as SQL and NoSQL databases.
o Understanding of CI/CD pipelines and tools.
JOB DESCRIPTION
As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities:
o Design, develop, and implement generative AI models and algorithms to solve complex problems.
o Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
o Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
o Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
o Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
o Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
o Integrate AI models into existing systems and ensure smooth deployment and operation.
o Optimize AI models and full-stack applications for performance and scalability.
o Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
o Troubleshoot and resolve issues related to AI models and application performance.
o Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications:
o Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects.
o Proficiency in programming languages such as Python, JavaScript, or similar.
o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
o Strong understanding of model fine-tuning and experience in adapting models for specific use cases.
o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.
o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.
o Knowledge of multi-agent systems and their application in AI workflows.
o Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.
o Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
o Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.
#Dice
JOB LOCATION: Remote
WAGE RANGE*: 80 - 89/ hour must be W2
JOB NUMBER:18419-1
CONTRACT TO HIRE SALARY 170k
REQUIRED EXPERIENCE:
o Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE:
o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
o Experience with database technologies such as SQL and NoSQL databases.
o Understanding of CI/CD pipelines and tools.
JOB DESCRIPTION
As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities:
o Design, develop, and implement generative AI models and algorithms to solve complex problems.
o Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
o Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
o Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
o Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
o Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
o Integrate AI models into existing systems and ensure smooth deployment and operation.
o Optimize AI models and full-stack applications for performance and scalability.
o Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
o Troubleshoot and resolve issues related to AI models and application performance.
o Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications:
o Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects.
o Proficiency in programming languages such as Python, JavaScript, or similar.
o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
o Strong understanding of model fine-tuning and experience in adapting models for specific use cases.
o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.
o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.
o Knowledge of multi-agent systems and their application in AI workflows.
o Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.
o Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
o Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.
#Dice
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.