Principal Applied AI Engineer

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field.

7+ years of relevant software engineering experience, including at least 3 years working with AI/ML use cases such as conversational AI or natural language processing in customer-facing solutions

Expertise with at least one cloud platform (e.g., AWS, Azure, GCP), particularly for event-driven and real-time architectures

Strong experience with scripting languages (e.g., Python, JavaScript) to build integrations, enhance agent functionality, and support transactional workflows

Proficiency in designing conversational flows, decision trees, and systems that support customer inquiries and transactions

Experience building applications powered by large language models (LLMs), including prompt design, evaluation and production integration.

Proficiency with retrieval augmented generation (RAG), embeddings, semantic search and vector databases

Experience integrating contact center platforms with CRM systems (e.g., Salesforce, Dynamics, ServiceNow), including screen pops, case workflows, and customer data synchronization

Hands-on experience developing and optimizing AI chatbots or virtual assistants, including model training, conversation design, and performance improvement

Experience with CI/CD pipelines and DevOps practices, including automated testing and deployment

Strong organizational skills with the ability to manage multiple priorities and deliverables

Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders

Strong problem-solving skills with the ability to design solutions that balance customer experience and business objectives

Experience using work management tools such as Jira, Smartsheet, or similar to manage backlogs, track tasks/issues, coordinate dependencies, and communicate project status.

Deep understanding of the customer pain points and how AI can alleviate those in a meaningful way.

Preferred Qualifications:

Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence or a related technical field

10+ years of industry experience, including technical leadership in AI/ML-heavy product environments

Experience fine-tuning foundation models or working with techniques such as LoRA, PEFT, or domain adaptation

Proficiency building multi-step agentic workflows, tool-using LLM systems, or orchestration frameworks such as LangChain or LlamaIndex

Expertise with one or more major ML/AI frameworks such as PyTorch, TensorFlow, or Hugging Face

Strong understanding of working with structured and unstructured enterprise data, knowledge bases, or document intelligence systems

Experience working with a B2C contact center, especially in a consumer goods or appliance manufacturer environment.

Hands-on experience integrating with Salesforce (e.g., Service Cloud, CTI adapters, APIs, event streams) to support agent workflows and customer data access

Track record of mentoring senior engineers and setting technical direction for applied AI platforms or products

Experience partnering closely with product, design, and business stakeholders to translate ambiguous problems into deployable AI solutions

Passionate about continuous learning, especially in the AI/ML field, and driven by results

Working Conditions:

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities. This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices. By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.

GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S

If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com