Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
1-4 years of experience in software engineering, data/ML engineering, or similar role
Experience with LLM-based tools and enterprise cloud platforms
Hands-on experience with tools like Claude, OpenAI, or Gemini
Familiarity with Microsoft ecosystem including Azure and Power Platform
Comfort with APIs and basic data pipelines
Knowledge of AI governance and responsible AI practices
Strong communication skills for translating technical concepts to non-technical stakeholders
Experience in regulated industries, preferably financial services
Responsibilities
Design, build, and maintain AI agents and automated workflows using Claude and Microsoft tools
Develop retrieval-augmented generation (RAG) pipelines and prompt systems
Partner with business units to translate workflows into technical specifications
Serve as a technical resource for embedded AI roles
Build and refine retrieval systems that enhance agent accuracy
Prototype solutions from proof-of-concept to daily use
Document workflows for governing enterprise AI tools
Support responsible AI practices in a regulated environment
Benefits
Robust benefits and retirement package
Opportunities for professional development
Collaborative work environment
Access to cutting-edge AI technologies
Engagement with diverse business units across the bank
Full Job Description
Job Description
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.
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
