Description:

Ascend is a fast-growing SaaS company that automates invoice processing and payments for mid- and large enterprise customers.
The flagship product, Ascend AP, leverages AI, real-time ERP integrations, and embedded payments technology to save customers significant amounts of money annually.
Customers include well-known brands such as NASCAR, Panera Bread, Virgin Voyages, and PGA TOUR, as well as major hospitals, financial services providers, and educational institutions.
The company operates fully remotely and offers competitive pay, exceptional benefits including unmatched 401(k) matching, and unlimited time off.
As a Senior AI Architect, you will lead the strategy and execution of applying Generative AI, LLMs, and advanced ML techniques to business problems in the invoice automation and payments lifecycle.
You will collaborate with engineering, product, and business stakeholders to design and implement scalable AI solutions.
Your role will involve leading the development of AI/ML models, identifying high-impact AI use cases, training foundation models, and optimizing AI workloads using cloud-native technologies.
You will also coach and mentor an AI engineering team, justify the value of AI solutions, create technical documentation, and collaborate with academic and industry partners.

Requirements:

Proven experience in developing and deploying Generative AI and LLM-based solutions in enterprise settings is required.
A deep understanding of modern AI/ML architecture, focusing on generative models and multimodal learning is essential.
Strong software engineering skills, particularly in ML infrastructure and backend services, are necessary.
Candidates should have 5+ years in machine learning engineering, with at least 2 years focused on LLM-based or GenAI production deployments and monitoring, and 2 years building solutions for large-scale AI applications.
Demonstrated ability to evaluate and implement emerging algorithms and modeling techniques is required.
Proficiency with at least three of the following technologies is necessary: PyTorch, HuggingFace Transformers, LangChain, RAG and vector DBs, prompt engineering with OpenAI or Claude APIs, containerized model deployment, fine-tuning methods, and cloud-native AI toolchains.
Exceptional communication and collaboration skills are essential for working across business and technical teams.
A Bachelor’s degree in Computer Science or a related field is preferred.

The position offers a competitive salary and comprehensive health care benefits, with 100% coverage for employees and 50% for dependents.
Employees will receive an annual Lifelong Learning & Wellness Allowance for personal development and health goals.
Flexible time off, paid holidays, and one week off between Christmas and New Year’s are included.
The company promotes a culture of Diversity, Equity & Inclusion, with charity matching and volunteer days.
A remote-first culture ensures that all employees feel connected to the team, regardless of location.
Flexible schedules and 12 weeks of paid parental leave are offered to support family needs.
Employees are provided with the necessary tools and technology to perform their best work, including hardware, software, and home office setups.