AI Engineer

Retail Region 2 Administration; Wakefield (MA); On-site; USD 72,214 - 110,000; Full time

Benefits offered by this job

Benefits and retirement package

Job summary

Eastern is seeking a junior to mid-level AI Engineer to develop and scale enterprise AI capabilities across the bank. Responsibilities include building AI agents, RAG pipelines, and prompt systems, and enabling AI tools within embedded business divisions.

The role blends technical development with business enablement. The position requires 1–4 years in software/data/ML and experience with LLM platforms (Claude/OpenAI/Gemini) and Microsoft/Azure tech.

Qualifications

• Bachelor's degree in CS/Data Science/Info Systems or related field.
• 1–4 years of software/data/ML experience.
• Experience with LLMs and enterprise cloud/tools.
• Hands-on AI/LLM platforms experience (Claude/OpenAI/Gemini).
• Experience with prompt engineering and AI agents.

Responsibilities

• Design, develop, and deploy AI agents and automated workflows.
• Create scalable retrieval-augmented generation (RAG) pipelines and prompt frameworks.
• Prototype and productionize AI solutions for bank operations.
• Collaborate with business teams to translate requirements into technical specs.
• Support governance, security, and responsible AI practices.

Skills

LLMs & AI platforms

Prompt engineering

APIs & data pipelines

Communication skills

Financial services familiarity

Education

Bachelor's degree in Computer Science or related field

Tools

Claude

OpenAI

Gemini

Azure AI Services

Power Platform

SharePoint

Job description

Hiring Range: $72,214 - $110,000

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.

We are seeking a junior to mid-level AI Engineer to help build and scale enterprise AI capabilities across the bank. This role is responsible for developing AI agents and automated workflows, building retrieval and prompt systems, and supporting the integration and enablement of AI tools within embedded business division roles. This is a hands‑on role for someone who thrives at the intersection of technical development and business enablement, translating non‑technical use cases into working technical solutions.

Responsibilities:

Design & Develop AI Solutions

• Build, deploy, and maintain AI agents and automated workflows using platforms such as Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.
• Create scalable retrieval-augmented generation (RAG) pipelines and prompt‑engineering frameworks.
• Prototype and productionize AI solutions that improve day‑to‑day operations across the bank.

Partner with Business Teams

• Collaborate with cross‑functional teams to understand business processes, pain points, and opportunities for automation.
• Translate non‑technical requirements into clear technical specifications and solution designs.
• Serve as a trusted technical advisor supporting embedded AI initiatives across business divisions.

Enhance AI Performance & Reliability

• Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.
• Evaluate and refine AI solutions based on user feedback, performance metrics, and business outcomes.

Support AI Governance & Administration

• Assist in establishing governance processes for enterprise AI tools, including access management, usage policies, and documentation.
• Promote responsible AI practices, ensuring compliance with data privacy, security, and regulatory requirements.
• Support administration and enablement of AI platforms across the organization.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• 1-4 years of experience in software engineering, data engineering, machine learning, or a related technical role.
• Experience working with large language models (LLMs) and enterprise cloud or collaboration platforms.
• Hands‑on experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or similar technologies.
• Experience with prompt engineering, AI agents, and agent frameworks.
• Familiarity with Microsoft technologies including Azure, Microsoft Copilot, Power Platform, and Microsoft 365 development or administration tools.
• Experience working with APIs, MCPs (Model Context Protocol), integrations, and data pipelines.
• Understanding of AI governance, responsible AI practices, and enterprise AI administration.
• Strong analytical and problem‑solving abilities.
• Excellent verbal and written communication skills.
• Ability to translate complex technical concepts into understandable business solutions.
• Comfortable working independently while collaborating across multiple teams.
• Experience within financial services or another regulated industry is a plus.