Responsibilities
Design, build, and optimize autonomous or semi-autonomous AI workflows (agentic systems) using Microsoft Copilot, Power Automate, Copilot Studio, and third-party AI platforms.
Translate complex business tasks into orchestrated, multi-step AI workflows that can act with minimal user input while maintaining accuracy and compliance standards.
Develop and iterate intelligent assistants, copilots, and AI agents to automate business processes across origination, closing, servicing, and corporate functions.
Collaborate with Business Partners and business units to test, refine, and scale agentic tools that drive measurable efficiency improvements and user adoption.
Lead implementation of BWE's Scale Agentic AI initiative by identifying high-impact automation opportunities and deploying production-ready AI agents.
Partner with AIOps Engineer to ensure agentic systems integrate properly with monitoring, governance, and optimization frameworks.
Stay ahead of emerging agentic design patterns, orchestration technologies, and best practices while bringing forward innovative solutions to business challenges.
Create reusable agentic templates and workflow patterns that enable citizen developers to build AI-powered automation within governance frameworks.
Implement security and compliance controls for agentic systems ensuring adherence to financial services regulations and data privacy requirements.
Research and experiment with innovative agentic AI technologies and platforms to enhance BWE's automation capabilities.
Provide training and support to business users adopting agentic tools and automation workflows.
Document agentic system architectures, decision logic, and operational procedures for knowledge transfer and maintenance.
Near-Term Deliverables:
Build and deploy at least 3-5 production agentic systems that demonstrate significant business impact and operational efficiency gains.
Establish agentic AI development framework including design patterns, testing methodologies, and deployment standards.
Create a comprehensive library of reusable agentic components and workflow templates that accelerate automation deployment across business functions.
Partner with Business Partners to identify and prioritize high-impact opportunities for agentic AI implementation with detailed business case analysis.
Develop agentic system monitoring and optimization practices ensuring reliable performance, accuracy, and cost efficiency.
Research and recommend emerging agentic AI platforms and technologies for potential adoption with hands-on evaluation and implementation guidance.
Create citizen developer enablement materials including agentic workflow templates, training resources, and best practice guidelines.
Establish agentic AI governance practices including approval workflows, risk assessment, and compliance validation procedures.
Complete advanced training in agentic AI, workflow orchestration, or emerging automation technologies relevant to enterprise applications.
Contribute to BWE's competitive advantage by pioneering innovative agentic use cases and automation strategies.
Basic qualifications
5+ years of experience building AI-driven workflows, intelligent automation, or low-code/no-code solutions in enterprise environments.
Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps), Microsoft Copilot Studio, and Large Language Model (LLM) integration.
Strong grasp of prompt engineering, conversation design, logic flows, and business process optimization techniques.
Experience with API integration, data transformation, and system connectivity for workflow automation.
Knowledge of agentic AI concepts including multi-step reasoning, tool usage, and autonomous decision-making systems.
Understanding of business process design, user experience principles, and change management for automation adoption.
Bachelor's degree in Computer Science, Engineering, Business Technology, or related field, or equivalent work experience.
Creative, fast-moving builder with prototyping mindset and deep understanding of user needs and business workflows.
Preferred qualifications
Experience with advanced agentic AI platforms and orchestration tools beyond Microsoft ecosystem.
Knowledge of machine learning, natural language processing, and conversational AI development.
Familiarity with enterprise integration patterns, API management, and cloud-native application development.
Experience in CRE, financial services, or regulated industries with complex compliance and audit requirements.
Understanding of AI governance, responsible AI deployment, and risk management for autonomous systems.
Previous experience leading automation initiatives or digital transformation projects.
Knowledge of emerging technologies including multi-modal AI, autonomous agents, and AI orchestration platforms.
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Real Estate