Lead AI Engineer
At a glance
Senior AI Engineering role at Gka. Wakefield · full-time · $100,890–$150,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain AI agents and automated workflows with Claude and Microsoft tools
- Create retrieval pipelines and prompt designs that help AI responses stay accurate and dependable
- Learn how business teams work, then turn their needs into technical plans and working solutions
- Move AI prototypes into regular use and support embedded AI roles across business divisions
- Document AI tool access and usage rules, while supporting responsible handling of data and permissions
What you bring
- A bachelor's degree in computer science, data science, information systems or a related area
- One to four years in software engineering, data or machine learning engineering, or a related technical role
- Practical experience with LLM tools, prompt engineering or agent frameworks, plus enterprise cloud and collaboration platforms
- Working knowledge of APIs, MCPs, data pipelines, integrations, and responsible AI considerations
Who this fits
This senior-titled role suits a hands-on engineer who can turn non-technical workflows into technical solutions and work directly with business stakeholders. It is hybrid in Wakefield, United States.
From the employer
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