Senior AI Architect responsible for designing and governing generative AI solutions across Wind Engineering.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Define the Generative AI Architecture for Wind Engineering
Establish approved patterns for model gateways, prompt and context management, retrieval, memory, tool invocation, orchestration, evaluation, logging, and user experience
Define selection criteria for hosted, enterprise, open-weight, fine-tuned, and task-specific models
Ensure solutions align with approved GE Vernova platforms, identity, data, integration, and deployment standards
Design Agentic and Tool-Integrated Workflows
Requirements
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related technical field
Senior AI Architect responsible for designing, evaluating, and integrating generative AI solutions across Wind Engineering.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Define Generative AI Architecture for Wind Engineering
Establish reference architectures for foundation-model applications, RAG, tool-using assistants, agentic workflows, document intelligence, and multimodal engineering use cases
Establish approved patterns for model gateways, prompt and context management, retrieval, memory, tool invocation, orchestration, evaluation, logging, and user experience
Define selection criteria for hosted, enterprise, open-weight, fine-tuned, and task-specific models
Ensure solutions align with approved GE Vernova platforms, identity, data, integration, and deployment standards
Requirements
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related technical field
A twelve-month paid residency focused on building a real estate-focused artificial intelligence LLM to modernize appraisal professional data collection, management, and analysis.
Compensation
Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
Responsibilities
Design, build, and evaluate a secure LLM-based system that streamlines appraisal workflows and supports highest and best use (HBU) analysis for real estate appraisers.
Develop ingestion and retrieval pipelines that parse mixed text and tabular content from municipal planning documents and zoning bylaws.
Build citation-grounded generation and confidence estimation components so that every output can be traced to its source documents and used to defend completed appraisal reports.
Build evaluation infrastructure, including expert-annotated benchmarks, citation accuracy and faithfulness scoring, confidence calibration analysis, adversarial and prompt-injection test suites, and CI-gated regression testing.
Implement secure system infrastructure with role-based access control that restricts access exclusively to vetted appraisers, along with auditable logging of system usage.
Requirements
MSc. or PhD in Computer Science or related graduate degree program with specialization in Natural Language Processing, Machine Learning, Large Language Models, or Applied AI
Nice to have: Evaluation frameworks for LLM or retrieval-augmented systems
