Overview
Remote
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Management
Systems Architecture
IT Management
Mentorship
Software Development
Deep Learning
Computer Vision
Use Cases
Software Engineering
Leadership
Computer Science
Data Science
TensorFlow
PyTorch
scikit-learn
Prompt Engineering
Programming Languages
Python
Java
C++
Microsoft Azure
Big Data
Apache Hadoop
Apache Spark
Apache Kafka
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Database
SQL
NoSQL
Data Engineering
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Generative Artificial Intelligence (AI)
Natural Language Processing
Open Source
Publications
Artificial Intelligence
Machine Learning (ML)
SANS
Agile
DevOps
Job Details
Position: AI Architect
Location: Remote (Prefered local profile Las Vegas, NV)
Job Description:
The AI Architect is a senior-level role responsible for designing, developing, and overseeing the implementation of advanced artificial intelligence (AI) and machine learning (ML) solutions. This position requires deep technical expertise, strategic vision, and leadership to align AI initiatives with business objectives. The ideal candidate will have 12-15 years of experience in AI/ML, software engineering, and system architecture, with a proven track record of delivering scalable AI solutions.
Key Responsibilities
- Architecture Design: Develop end-to-end AI/ML architectures, including data pipelines, model development, deployment, and integration into enterprise systems.
- Technical Leadership: Lead cross-functional teams of data scientists, engineers, and developers to deliver AI solutions, providing technical guidance and mentorship.
- Solution Development: Design and implement advanced AI models (e.g., deep learning, NLP, computer vision) tailored to business use cases.
Required Qualifications
- Experience: 12-15 years of professional experience in AI/ML, software engineering, or related fields, with at least 5 years in an AI architecture or leadership role.
- Education: Bachelor's degree in computer science, Data Science, Engineering, or a related field. Master's or Ph.D. in AI, Machine Learning, or a related discipline is preferred.
- Technical Skills:
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Open AI , Chat GPT and Prompt engineering
- Proficiency in programming languages (e.g., Python, Java, C++).
- Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their AI/ML services.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Familiarity with MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
- Understanding of database systems (e.g., SQL, NoSQL) and data engineering pipelines.
Preferred Qualifications
- Certifications in cloud platforms (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer).
- Experience with generative AI, reinforcement learning, or advanced NLP techniques.
- Contributions to open-source AI projects or publications in AI/ML conferences/journals.
- Familiarity with agile methodologies and DevOps practices.
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.