AI Enterprise Architect

Job Description AI Enterprise Architect Overview: As an AI Enterprise Architect, 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 Enterprise Architect 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 Microsoft Power Platform, Copilot Studio, and Microsoft 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 Qualifications 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 Salary Range- $120,000-$200,000 a year #J-18808-Ljbffr Tata Consultancy Services