Overview
Remote
On Site
USD 80.71 - 85.71 per hour
Contract - W2
Skills
Health Care
Innovation
Algorithms
User Experience
UI
Scalability
Documentation
Computer Science
Natural Language Processing
Computer Vision
Docker
Orchestration
Kubernetes
SQL
NoSQL
Database
Continuous Integration
Continuous Delivery
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
Google Cloud Platform
DevOps
Conflict Resolution
Problem Solving
Communication
Articulate
MEAN Stack
Customer Service
Training And Development
SAP BASIS
Job Details
Software Guidance & Assistance, Inc., (SGA), is searching for a Generative AI Architect - Remote for a contract to hire assignment with one of our premier Healthcare services clients in Jacksonville, FL. This role will be remote.
Top Experience Needed:
Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
Experience with database technologies such as SQL and NoSQL databases.
Understanding of CI/CD pipelines and tools.
Responsibilities :
We are at the forefront of innovation, leveraging cutting-edge technology to transform industries and deliver exceptional experiences. Our team is passionate about creating AI-driven solutions that solve real-world problems. We are looking for a talented Generative AI Developer with full-stack capabilities to join our dynamic team and help us push the boundaries of what's possible.
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.
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Top Experience Needed:
Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
Experience with database technologies such as SQL and NoSQL databases.
Understanding of CI/CD pipelines and tools.
Responsibilities :
We are at the forefront of innovation, leveraging cutting-edge technology to transform industries and deliver exceptional experiences. Our team is passionate about creating AI-driven solutions that solve real-world problems. We are looking for a talented Generative AI Developer with full-stack capabilities to join our dynamic team and help us push the boundaries of what's possible.
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.
- Design, develop, and implement generative AI models and algorithms to solve complex problems.
- Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
- Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
- Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
- Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
- Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
- Integrate AI models into existing systems and ensure smooth deployment and operation.
- Optimize AI models and full-stack applications for performance and scalability.
- Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
- Troubleshoot and resolve issues related to AI models and application performance.
- Contribute to the creation and maintenance of documentation for AI models and applications.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
- Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
- Experience with database technologies such as SQL and NoSQL databases.
- Understanding of CI/CD pipelines and tools.
- Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects.
- Proficiency in programming languages such as Python, JavaScript, or similar.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of model fine-tuning and experience in adapting models for specific use cases.
- Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.
- Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.
- Knowledge of multi-agent systems and their application in AI workflows.
- Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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.