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Job Description

Easter n Bank, Wakefield, MA (onsite), seeks a junior to mid-level AI Engineer with a salary range of USD 72,214 to 110,000 per year.

Responsibilities

  • Design, implement, and sustain AI agents and automated workflows across the bank using Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.
  • Develop scalable retrieval-augmented generation (RAG) pipelines and robust prompt-engineering architectures.
  • Prototype and productionize AI solutions to streamline day-to-day operations across the organization.
  • Collaborate with cross-functional teams to map business processes, identify pain points, and uncover automation opportunities.
  • Translate business requirements into clear technical specifications and solution designs.
  • Act as a trusted technical advisor for embedded AI initiatives across business divisions.
  • Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.
  • Evaluate AI solutions using user feedback, performance metrics, and business outcomes to drive improvements.
  • Assist in establishing governance for enterprise AI tools, including access management, usage policies, and documentation.
  • Promote responsible AI practices with emphasis on data privacy, security, and regulatory compliance.
  • Support administration and enablement of AI platforms across the organization.

Requirements

  • 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.
  • Hands-on experience 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 equivalents.
  • Experience with prompt engineering, AI agents, and agent frameworks.
  • Familiarity with Microsoft technologies including Azure, Copilot, Power Platform, and Microsoft 365 development or administration tools.
  • Experience building integrations via APIs, Model Context Protocol (MCP), data pipelines, and related integrations.
  • Understanding of AI governance, responsible AI practices, and enterprise AI administration.
  • Strong analytical and problem-solving abilities, with excellent verbal and written communication.
  • Ability to translate complex technical concepts into clear business solutions.
  • Proven ability to work independently while collaborating across multiple teams.
  • Experience in financial services or other regulated industries is a plus.

Technologies

  • Claude
  • Microsoft Copilot
  • Azure AI Services
  • Power Platform
  • SharePoint
  • OpenAI
  • Gemini
  • Azure
  • Microsoft 365 development tools
  • Model Context Protocol (MCP)

Benefits

  • Total Rewards benefits program
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Retirement plan
  • Paid vacation
  • Tuition reimbursement

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