Search and NLP Engineer - Virtual

Alight•St. David's, SC

23h•Remote

About The Position

Support Alight’s Generative AI roadmap as an NLP Engineer by designing capabilities and solutions using LLMs and transformer-based architectures. At Alight, we believe a company’s success starts with its people. Our Values: Champion People – be empathetic and help create a place where everyone belongs. Grow with purpose – Be inspired by our higher calling of improving lives. Be Alight – act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com.

Requirements

2–5 years of experience in AI technology roles focused on natural language models.
Working knowledge of process mapping and process design.
Experience with Scaled Agile (SAFe).
Strong problem‑solving skills with the ability to align business objectives with data insights.
Completion of a program of study typically requiring four years of post‑secondary education or equivalent.
Alight requires all virtual interviews to be conducted on video.
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Alight.

Responsibilities

Evaluate base search appliance configurations and assess their impact on search results.
Review and test the latest Large Language Models and develop capabilities using LLM endpoints.
Design and implement new capabilities and configurations in the OpenSearch environment.
Identify opportunities to improve search and retrieval performance based on client needs.
Provide guidance on conversational AI and related strategy.
Communicate with stakeholders to understand requirements and provide updates.
Submit and track Maestro or JIRA requests.