AI Engineer

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 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.

Benefits

Eastern offers a robust benefits and retirement package. Please see the description of benefits included with this job posting for additional information.