AI Engineer
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