AI Engineer

AI Business Engineer

As an AI Business Engineer, your role will be that of a business embedded technologist responsible for identifying, designing, and delivering AI enabled solutions directly within the line of business with a dotted line relationship to the centralized AI team for governance and scalability. In this role, you will have an excellent opportunity to work closely with business users in a collaborative environment, while executing & assisting with the design and development of business-driven projects. The AI Business Engineer is a thinker and a hands-on innovator. The ideal candidate is a passionate advocate for AI, someone who thrives on building AI driven workflows and someone whose passion is uncovering hidden inefficiencies and unlocking new levels of productivity through intelligent automation.

Responsibilities:

• Design and build business driven workflow projects using Copilot based intelligent agents, low code/ no code automations, and AI assisted workflows using Client Power Platform, Copilot Studio, and Client 365 Chat
• Conduct research and gather data to support project planning and execution.
• Prepare technical documentation, reports and presentations as well as support the testing and validation of unit code, in conjunction with error handling through pipelines.
• Identify untapped opportunities and build for AI-driven transformation within line of business processes
• Build solutions primarily using Copilot Studio, M365 Copilot, Azure services and platforms with a focus on Generative AI.
• Drive discovery sprints and AI ideation efforts
• Stay abreast of broad AI efforts and initiatives by collaborating with our bank-wide AI department

Education and Experience Required:

• Bachelor's degree in computer science, information-technology, engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent experience.
• Strong knowledge of general Financial Services & Technology is preferred.
• Working knowledge of M365 Copilot, Copilot Studio, knowledge of cloud platforms and rapid prototyping tools
• Strong understanding & working knowledge of Agentic AI including LLMs, Agents, prompts and other protocols
• Strong understanding of process consulting, process engineering, operations modernization, or business transformation in financial services
• Understanding of automated code build solutions for CI/CD Pipelines.
• Full stack development
• Strong interpersonal & problem-solving skills along with the ability to build relationships with team members, stakeholders, and external partners.

Tech Stack: Full stack developer, Strong azure & cloud knowledge and Built applications using AI

Skills: AI and Automation Alt skill: AI Agents Experience Required: 8-10