This role sits at the intersection of sales, engineering, and product—you'll need to be equally comfortable in customer meetings, building demo environments, and providing product feedback to engineering.

Responsibilities

• Lead technical discovery calls to understand the prospect's AI/ML architecture, use cases, and requirements.
• Develop expertise in OpenRouter’s products and solutions, and how they can be leveraged to solve business problems.
• Assess technical fit, including API integration, model requirements, data residency needs, and compliance requirements.
• Design and deliver customized product demonstrations showcasing OpenRouter's capabilities for prospects’ specific use cases.
• Create demos to showcase OpenRouter and manage proof-of-concept environments.
• Partner with AEs throughout the sales cycle from discovery through close. Respond to proposals and technical questions from customers. Present at customer meetings, QBRs, and executive briefings.
• Address technical objections and competitive positioning and support contract negotiations on technical terms, SLAs, and implementation timelines.
• Provide feedback to the Product and Engineering teams on feature requests, competitive gaps, and market requirements. Contribute to product roadmap prioritization based on customer needs.
• Stay current on AI/ML trends and competitive landscape.

Requirements

• 5+ years as Sales Engineer, Customer Engineer, Solutions Engineer, or Solutions Architect in B2B SaaS/API/Infrastructure platforms.
• Strong technical background with hands-on experience in software development, APIs, or cloud infrastructure.
• Excellent presentation skills with the ability to explain complex technical concepts to varied audiences. Strong problem-solving skills and ability to architect solutions under pressure.
• Customer-first mindset with genuine desire to help customers succeed.
• Experience in a sales engineering role related to AI/ML technologies, LLMs, or machine learning platforms is a plus.

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What you'll do

As a Principal GenAI Applications Engineer, you will be responsible for architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.

• Architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.
• Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations to meet corporate function needs.

What you need

• Advanced degree in Science or Engineering with 8+ years of experience in diverse scientific and technological domains.
• 5+ years of experience applying machine learning and AI methods to corporate or business problems.
• Proficiency in Python and a solid background in data structures and algorithms.
• Experience with LLMs, GPT models, and other generative AI techniques.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and presentation skills.
• Hands-on experience in data cleansing and modeling for deep learning models in at least one corporate domain (e.g., HR, Finance, Legal).
• Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure.

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