Lead AI Engineer

Hiring Range: $100,890 - $150,000

The posted salary range reflects Eastern’s expected hiring range. Actual pay may vary based on experience, skills, and market factors; additional compensation may apply. Eastern offers a robust benefits and retirement package. Please see the description of benefits included with this job posting for additional information. 

• Design, build, and maintain AI agents and automated workflows using Claude (Cowork, Code, Platform, etc.) and Microsoft-based tooling (Copilot, SharePoint, Power Platform, Azure AI services)
• Develop retrieval-augmented generation (RAG) pipelines and prompt systems that are accurate, reliable, and easy to maintain
• Partner with business units across divisions to understand workflows and pain points, and translate use cases into clear technical specifications
• Serve as a technical resource and enablement partner for embedded AI roles within business divisions
• Build and refine retrieval systems and prompt architectures that drive agent accuracy and reliability
• Prototype solutions and move them from proof-of-concept to embedded, day-to-day use across the bank
• Help develop and document workflows to govern and administer enterprise AI tools such as Claude, including access provisioning and usage policies
• Support responsible AI practices, including data handling and permissions appropriate for a regulated banking environment

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
• 1-4 years of experience in software engineering, data/ML engineering, or a related technical role
• Experience working with LLM-based tools and enterprise cloud and collaboration platforms
• Hands-on experience with LLM-based tools (Claude, OpenAI, Gemini, or similar), including prompt engineering and/or agent frameworks
• Familiarity with the Microsoft ecosystem (Azure, Copilot, Power Platform, or M365 admin and development tools)
• Comfort working with APIs, MCPs, basic data pipelines, and integration patterns
• Knowledge of AI governance, tool administration, and responsible AI considerations
• Strong communication skills, including the ability to sit with a non-technical stakeholder and translate their workflow into a technical plan
• Experience in regulated industries, such as financial services is preferred