Engineer Lead

Role Description

We are seeking an Engineer Lead with Generative AI experience. You will work as part of an autonomous agile team to develop features and applications to meet the needs of the Technology Solutions and Platforms department. This role carries an expanded mandate to design, prototype, and deliver Generative AI solutions that directly enhance LSAC products and internal tooling.

• Own the practice of GitHub Copilot and grow AI capabilities into large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and responsible AI practices.
• Act as a hands-on change agent for Generative AI adoption across the engineering organization.
• Design and run enablement programs, lead by example in code, and build the organization's confidence and fluency with AI tooling.

Qualifications

• 5–10 years of experience in full stack software engineering.
• B.A. or B.S. degree in Computer Science, Software Engineering, or related field.
• Master's degree preferred.
• Azure certifications (e.g., AZ-204, AZ-400, AZ-305) preferred.
• Azure AI certifications – AI-102 (Azure AI Engineer Associate) and/or Microsoft certified, Azure OpenAI certification or equivalent demonstrated proficiency preferred.
• Coursework, certifications, or verifiable project experience in machine learning fundamentals, natural language processing, or applied AI/ML preferred.

Requirements

• Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications.
• Collaborate across areas to ensure application reliability and coding to architectural standards.
• Support product teams by advocating for their needs and providing constructive guidance.
• Provide the glue across dependent teams to ensure technical dependencies are planned for and addressed in a fast-paced environment.
• Connect with developers within your team to coach, inspire, and foster a continuous learning environment.
• Build and maintain scalable full-stack applications.
• Continuously monitor, test, and optimize software.
• Collaborate with software engineers, the Software Development Manager (SDM), analysts, and stakeholders to deliver solutions that meet or exceed customer expectations.
• Contribute as part of the team by leveraging continuous delivery methods and test-driven development to frequently deliver new functionality.
• Deliver high-quality code and hold the team to the same standard through code review and mentoring.
• Work to scale software to support dynamic teams in a fast-paced environment.
• Champion and govern team-wide use of GitHub Copilot.
• Drive organizational Gen-AI adoption.
• Coach and mentor engineers on Gen-AI practices.
• Act as internal AI change agent.
• Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs.
• Design and maintain Retrieval-Augmented Generation (RAG) pipelines.
• Lead prompt engineering efforts.
• Establish and enforce responsible AI practices.

Benefits

• Pay rate: $125,000 to $133,000, depending on experience.
• This is a remote position.