Senior Gen AI Applications Architect

Role overview

Responsibilities

• Architect scalable AI/ML solutions for grid automation, digitalization, products, and business efficiency across edge and cloud.
• Set architectural standards and build foundations for microservices, APIs, containers, orchestration, infrastructure as code, CI/CD, and MLOps.
• Deploy on GE GridNode and other edge platforms; optimize production model performance.
• Advise teams on generative and agentic AI architecture, model selection, orchestration, and integration.
• Implement monitoring, observability, and guardrails for AI safety, security, bias, hallucinations, cost, and performance.
• Guide production-quality reusable systems; integrate AI/ML into platforms and develop intelligent solutions.
• Track AI/ML and energy technology advances; assess tools and vendors and run proofs of concept.

Required qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field.
• At least 7 years of hands-on experience in software engineering, AI/ML development, and/or solution architecture.
• Hands-on experience building and architecting generative AI and agentic AI applications.
• Experience implementing generative and agentic AI solutions on AWS or comparable cloud infrastructure.

Desired qualifications

• Experience with machine-learning frameworks, language models, diffusion models, GANs, agentic frameworks, and retrieval-augmented generation.
• Experience with AI/MLOps, CI/CD, cloud and on-premises deployments, industrial automation, cloud MLOps services, Docker, and Kubernetes.
• Experience with AI/ML lifecycle delivery, edge computing, industrial IoT, real-time processing, graph and relational databases, and energy-system analytics.
• Python and another language such as C# or C++; scientific programming or simulation tools are desired.
• Experience delivering AI/ML projects into production and balancing innovation with security, maintainability, and business needs.

Compensation

• For Canadian-based candidates, the annual pay range is CAD 126,000–189,000; the specific offer may depend on experience, education, and skills.
• Eligible for a discretionary annual bonus.

Workplace

• The posting states this is a remote position.