Work Authorization Requirement: To be considered, candidates must be currently legally authorized to work in the United States on a full-time basis without employer sponsorship. Homeland Talent Solutions and our client are unable to provide sponsorship or assume sponsorship of any employment visa status now or in the future.
Job Summary Homeland Talent Solutions has partnered with a global leader in cloud-based K-12 education technology to hire a Lead AI Engineer. This is an exciting opportunity for an experienced Lead AI Engineer to play a key role in designing, building, and deploying production-grade artificial intelligence solutions that transform how organizations leverage AI.
Working within a collaborative Research & Development team, the Lead AI Engineer will lead the development of agentic AI workflows, Retrieval-Augmented Generation (RAG) applications, workflow automation, and enterprise integrations while driving innovation from concept through deployment. If you're passionate about building scalable AI solutions, providing technical leadership, and delivering cutting-edge technologies in a fast-paced environment, this Lead AI Engineer opportunity offers the chance to make a meaningful impact on the future of education technology.
Responsibilities Building & Shipping AI Products and Systems
Design, build, and deploy production-grade AI solutions, including agentic AI workflows and customer-facing AI products
Develop scalable AI systems such as multi-agent workflows, agentic data workflows, RAG-based applications, document intelligence and summarization pipelines, and workflow automation solutions
Utilize modern AI tools and frameworks, including Copilot, Codex, Claude Code, Gemini, NotebookLM, Strands, LangChain, LangGraph, LlamaIndex, or similar technologies
Rapidly prototype, validate, and deploy AI solutions in an agile, fast-paced environment
Owning End-to-End Delivery
Translate business challenges into scalable AI solutions that deliver measurable value
Design lightweight system architectures and iterate quickly based on user feedback
Develop prompt engineering strategies, orchestration logic, API integrations, data pipelines, and testing, validation, and monitoring frameworks
Partner with cross-functional stakeholders to refine AI solutions, improve adoption, and ensure successful implementation
Driving High-Velocity Execution
Deliver continuous product enhancements through weekly or bi-weekly releases
Thrive in a fast-paced environment with minimal bureaucracy, strong accountability, and a focus on execution
Contributing to Scalable AI Foundations
Build and maintain reusable AI assets, including prompt libraries, agent design patterns, and integration utilities
Establish and promote best practices for prompt engineering, AI development, testing, evaluation, governance, and responsible AI usage
Technical Leadership & Mentorship
Provide technical leadership and mentorship to AI engineers and automation specialists
Lead by example through hands-on design, development, and deployment of AI solutions
Support the growth and evolution of the AI engineering function by driving technical excellence and innovation
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
6–10+ years of software engineering experience, including recent hands-on experience developing AI and large language model (LLM) solutions
Proven experience designing, building, and deploying production-grade:
LLM-powered applications
Agentic AI workflows
AI-driven automation solutions
Experience deploying applications in cloud environments, including AWS and/or Microsoft Azure
Strong hands-on experience with modern AI development tools such as Codex, Claude Code, Gemini, NotebookLM, or similar AI-assisted development platforms
Experience working with AI frameworks including LangChain, LangGraph, LlamaIndex, or equivalent technologies
Experience with software deployment and release management, preferred
Knowledge of data engineering principles and data pipeline development, preferred
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures and working with vector databases, preferred
Familiarity with workflow automation platforms and enterprise system integrations, preferred
Benefits This position offers a competitive annual salary of $92,800–$170,300, with compensation based on experience, skills, education, certifications, and overall qualifications. Our client also offers a comprehensive benefits package, including:
Medical, dental, vision, pharmacy, life insurance, and AD&D coverage
Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
Short-term and long-term disability insurance
401(k) retirement savings plan
Generous parental leave
Discretionary paid time off (DTO)
Employee wellness program, including ClassPass and an Employee Assistance Program (EAP)
Tuition reimbursement
Optional benefits, including pet insurance, identity theft protection, student debt repayment assistance, and prepaid legal services
Summary If you're ready to lead the development of next-generation AI solutions in a collaborative, fast-paced environment, we'd love to hear from you. Apply today!
EEO Notice Homeland LLC is an Equal Opportunity Employer. Homeland LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Homeland LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request. #LI-BW1