Generative AI Architect for Enterprise Solutions

Synechron; Charlotte (NC); On-site; USD 125,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Global collaboration opportunities

Comprehensive benefits package

Paid annual leave

Job summary

Synechron in Charlotte, NC is seeking an experienced Generative AI Architect to lead the design and implementation of enterprise-grade AI solutions. The role involves collaborating with stakeholders, data scientists, and engineers to define AI strategies and deliver secure, scalable platforms.

Responsibilities include architecting with LLMs/foundation models, establishing standards, and guiding production deployments with emphasis on governance, security, and cost management.

Qualifications

• Extensive experience delivering enterprise Generative AI and ML solutions.
• Strong background in data architecture, data platforms, and governance.
• Hands-on with LLMs, foundation models, and AI agents; cloud experience.

Responsibilities

• Define and lead Generative AI architecture and technology strategy for enterprise solutions.
• Identify high-value Generative AI use cases across business functions.
• Design scalable, secure, reliable, and cost-effective AI platforms.
• Architect solutions using Large Language Models, foundation models, and multimodal models.
• Lead integration of Generative AI into existing enterprise applications and platforms.
• Define data architectures supporting AI/ML workloads and governance.

Skills

Generative AI

Machine Learning

Python

Cloud Platforms

Data Architectures

Tools

LangChain

PyTorch

TensorFlow

Kubernetes

Job description

Synechron in Charlotte, NC is seeking an experienced Generative AI Architect to lead the design and implementation of enterprise-grade AI solutions. The role involves collaborating with stakeholders, data scientists, and engineers to define AI strategies and deliver secure, scalable platforms.

Responsibilities include architecting with LLMs/foundation models, establishing standards, and guiding production deployments with emphasis on governance, security, and cost management.