Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Mentorship
Advanced Analytics
Data Processing
Analytical Skill
Large Language Models (LLMs)
Machine Learning (ML)
Training
FOCUS
Analytics
Enterprise Architecture
Scalability
Java
Python
JavaScript
Scala
PySpark
Apache Spark
Snow Flake Schema
Amazon Web Services
Amazon S3
Cloud Computing
Microservices
Application Development
Generative Artificial Intelligence (AI)
Vertex
Artificial Intelligence
Automated Testing
Continuous Integration
Continuous Delivery
Workflow
Regulatory Compliance
OWASP
Software Development Methodology
Collaboration
Agile
Quality Assurance
DevOps
Sprint
Continuous Improvement
Job Details
Role: GenAI Solution Architect
Location : Charlotte, NC -Hybrid
Type: Contract C2C/W2
Overall Experience: 12+ Years
We are seeking a highly experienced and hands-on Solution Architect with expertise in designing and delivering scalable, enterprise-grade frameworks and foundational services to support analytical applications and next-generation Generative AI (GenAI) solutions.
Key Responsibilities:
- Lead and mentor a team of engineers in the design and development of foundational frameworks and infrastructure to support advanced analytics and GenAI solutions.
- Architect and implement scalable, reusable infrastructure components for data processing, integration, and enterprise-wide AI/ML initiatives.
- Define and drive integration strategies for both analytical applications and GenAI models, including Large Language Models (LLMs) and Agentic AI, into core enterprise systems and frameworks.
- Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for model training, deployment, and monitoring, with a focus on both analytics and GenAI.
- Ensure solutions are technically robust, aligned with enterprise architecture, and meet scalability, performance, and reliability requirements.
- Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake.
- Work extensively with AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, and other cloud services.
- Develop and deploy microservices-based and event-driven architectures using modern frameworks to support modular and scalable application development.
- Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.
- Establish and enforce coding standards, conduct peer code reviews, and ensure best practices for test automation and CI/CD workflows.
- Ensure security compliance through vulnerability detection, remediation, and implementation of OWASP best practices in the application lifecycle.
- Collaborate with Agile cross-functional teams, including Product Owners, QA, and DevOps, for sprint planning, delivery, and continuous improvement
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.