AI Engineer

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data & Innovation team focused on advancing the organization's data and analytics capabilities. This position will design, build, and deploy AI-powered solutions that improve staff effectiveness and enhance services for clients. Initial focus areas include surfacing insights from complex documentation, reducing administrative burden, and supporting faster, more informed decision-making across programs and operations.

Working closely with organizational stakeholders and the broader data team, the AI Engineer will leverage curated data assets from Petra, Lasting Change's Microsoft Fabric-based enterprise data lakehouse, to deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI capabilities mature, this role will help establish the standards, platforms, and practices that support long-term success.

Company Conformance Statements / Essential Personal Characteristics

In the performance of their respective tasks and duties, all employees are expected to conform to the following:

Perform quality work within deadlines with or without direct supervision.

2. Interact professionally with other employees, customers, and clients.

3. Work effectively as a team member.

4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.

5. Exhibit exceptional integrity in all matters.

6. Lead by example.

Requirements

LLM Application Development

• Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces.
• Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows.
• Evaluate, select, and integrate best-in-class LLM and AI platform tooling, with preference for Microsoft Fabric, Azure AI Foundry, and complementary services.
• Ensure AI applications are reliable, auditable, and designed with responsible AI principles, including transparency, fairness, and appropriate human oversight.

Agentic Workflows & Process Automation

• Design and deploy agentic workflows that automate multi-step processes, reducing manual effort and improving consistency across operations.
• Build and integrate MCP (Model Context Protocol) servers to connect AI agents with organizational data sources, internal tools, and external services.
• Collaborate with operational stakeholders to identify, scope, and deliver automation opportunities with clear business value.
• Contribute to a disciplined, iterative approach to AI development - shipping focused solutions, learning from them, and expanding scope over time.

Data Collaboration & Platform Integration

• Partner closely with the internal data team to leverage curated, trusted datasets from Petra as inputs to AI systems and pipelines.
• Collaborate on data modeling and governance decisions that support AI use cases without compromising platform integrity.
• Ensure all AI pipelines are integrated with the organization's data platform, security standards, and access controls.
• Use Python and SQL fluently across prototyping, feature engineering, and production pipeline development.

Stakeholder Collaboration & Communication

• Engage directly with program leaders, operations staff, and leadership to understand business problems and define AI solutions with clear, measurable outcomes.
• Communicate AI system behavior, limitations, and results in plain language to non-technical audiences.
• Champion responsible, explainable AI use across the organization - ensuring solutions are trustworthy and aligned with Lasting Change's mission and values.
• Maintain thorough documentation of all AI systems, prompt designs, agentic workflows, and integration patterns to support maintainability and knowledge transfer.

Platform Ownership & Continuous Improvement

• Contribute to AI engineering standards and tooling choices that can scale as the organization's capability grows.
• Leverage AI-assisted development practices to maximize engineering velocity across prototyping, documentation, and testing.
• Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value.
• Participate in shaping the long-term AI roadmap, including identifying when and how machine learning capabilities should be introduced over time.

Essential Functions

Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

• Use of Fingers
• Feeling
• Speaking
• Hearing
• Repetitive Motions
• Capable of making sound decisions by use of reasonable and logical judgments.
• Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel

Travel may be required occasionally to subsidiary sites and training opportunities.

Required Experience

• 5-8 years of professional…