What are the responsibilities and job description for the AI Engagement Lead / Business Analyst position at Vichara Technologies?
Job Description
Job Summary
Vichara Technologies, a New York-based leader in financial services technology, is seeking a Gen AI Technical Business Analyst to drive AI-powered innovation for our Real Estate Investment Management client. This role will lead the implementation of Generative AI solutions to enhance investment strategies, automate workflows and streamline operational processes.
Responsibilities
Lead AI Initiatives: Lead Gen AI projects, from ideation to POC to Production, leveraging tools like GPT Enterprise, RAG architectures, and Agentic AI to address real estate investment management challenges such as document parsing, portfolio risk analysis and valuation of hard to value assets.
Analyze & Optimize Processes: Evaluate existing workflows in investment management (e.g., property valuation, cash flow modeling, rent roll data extraction) and propose AI-driven improvements to improve decision-making.
Prototype & Scale: Rapidly prototype AI tools for business user feedback, then scale to production
Design & Deploy Solutions: Work with Technical Architects and Engineers to Architect and implement Gen AI solutions, such as automated lease summarization or predictive analytics for property performance
Collaborate Across Teams: Partner with data scientists, developers, and investment managers to gather requirements and deliver tailored, impactful AI driven tools. Provide ongoing support and training to end-users to ensure successful adoption of AI tools.
Drive Innovation: Research emerging Gen AI trends and propose new applications to give our client a competitive edge.
Job Summary
Vichara Technologies, a New York-based leader in financial services technology, is seeking a Gen AI Technical Business Analyst to drive AI-powered innovation for our Real Estate Investment Management client. This role will lead the implementation of Generative AI solutions to enhance investment strategies, automate workflows and streamline operational processes.
Responsibilities
Lead AI Initiatives: Lead Gen AI projects, from ideation to POC to Production, leveraging tools like GPT Enterprise, RAG architectures, and Agentic AI to address real estate investment management challenges such as document parsing, portfolio risk analysis and valuation of hard to value assets.
Analyze & Optimize Processes: Evaluate existing workflows in investment management (e.g., property valuation, cash flow modeling, rent roll data extraction) and propose AI-driven improvements to improve decision-making.
Prototype & Scale: Rapidly prototype AI tools for business user feedback, then scale to production
Design & Deploy Solutions: Work with Technical Architects and Engineers to Architect and implement Gen AI solutions, such as automated lease summarization or predictive analytics for property performance
Collaborate Across Teams: Partner with data scientists, developers, and investment managers to gather requirements and deliver tailored, impactful AI driven tools. Provide ongoing support and training to end-users to ensure successful adoption of AI tools.
Drive Innovation: Research emerging Gen AI trends and propose new applications to give our client a competitive edge.
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