Lead AI Engineer

Eastern Bank Careers; Wakefield (MA); On-site; USD 101,000 - 150,000; Full time

Job summary

Eastern Bank Careers is seeking an AI Engineer in Wakefield, MA. The role focuses on building enterprise AI capabilities, including AI agents, retrieval systems, and integrated workflows using Claude, Copilot, SharePoint, and Azure AI services.

You will translate business use cases into technical specifications, collaborate across divisions, and ensure responsible AI practices within a regulated banking setting. This is a hands-on, impact-driven position.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.
• 1–4 years in software engineering, data/ML engineering, or related technical role.
• Experience with LLM-based tools and enterprise cloud/collaboration platforms.
• Hands-on with LLM tools (Claude/OpenAI/Gemini) and prompt engineering or agent frameworks.
• Familiarity with Microsoft ecosystem (Azure/Power Platform/M365).
• Comfort with APIs, basic data pipelines, and integration patterns.
• Knowledge of AI governance and responsible AI considerations.
• Strong communication to translate stakeholder workflows into technical plans.

Responsibilities

• Design, build, and maintain AI agents and automated workflows with Claude and Microsoft tooling.
• Develop RAG pipelines and prompt systems that are reliable and maintainable.
• Collaborate with business units to translate use cases into technical specifications.
• Enable embedded AI roles across divisions as a technical resource.
• Refine retrieval systems and prompt architectures for accuracy and reliability.
• Prototype solutions and move from PoC to embedded day-to-day use across the bank.
• Document workflows for enterprise AI tools, including access provisioning and usage policies.
• Support responsible AI practices and data handling in a regulated banking environment.

Skills

LLM tools experience

Cloud/enterprise platforms

Python/Software engineering

Clear communication with non-technical

Education

Bachelor’s degree in Computer Science or related

Tools

Claude

OpenAI

Gemini

Azure Copilot

Power Platform

Job description

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

Eastern offers a robust benefits and retirement package. Please see the description of benefits included with this job posting for additional information.

About the Role

Eastern Bank is looking for an AI Engineer to help build and scale enterprise AI capabilities across the bank. In this hands-on role, you’ll develop AI agents and automated workflows, build retrieval and prompt systems, and support the integration of AI tools within embedded business division roles. You’ll thrive at the intersection of technical development and business enablement, turning non-technical use cases into working technical solutions.

Responsibilities

• 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

Qualifications

• 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