Solution Design: Translating business and operational requirements into scalable, user-centric AI capabilities that automate workflows, augment decision-making, and improve service delivery.
AI Implementation: Implementing and managing AI-driven solutions that integrate with observability, telemetry, event management, and operational monitoring platforms.
Performance Optimization: Monitoring and optimizing agent performance through model evaluation, prompt refinement, agent configuration, and logic enhancements to improve accuracy, reliability, and business outcomes.
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Define the AI Vision: Develop and execute a comprehensive AI roadmap aligned with the leasing business strategy, prioritizing high-impact use cases across the lease lifecycle (origination, underwriting, servicing, collections, asset management) .
Establish the CoE Framework: Build the governance, operating model, and best practices for AI adoption, including model development standards, ethical AI guidelines, data privacy protocols, and performance measurement frameworks.
Stakeholder Engagement: Partner with Commercial, Credit, Risk, Operations, and DT leaders to identify pain points and opportunities where AI can drive efficiency, revenue growth, and risk reduction.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses.
LLM Benchmarking: Utilize advanced frameworks to measure performance in critical areas like hallucination rates, sentiment consistency, and context retention.
Automated Validation: Build and maintain automated pipelines that leverage "LLM-as-a-judge" patterns to evaluate model outputs at scale.
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Administer, monitor, coordinate firm/business’ management, operations, execution using A.I tools.
Handle the Firm’s day to day billing and accounts administration, including preparation of invoices, issuance of receipts, processing of claims and maintenance of accurate financial records using A.I tools.
Monitor collections and outstanding billings, follow up on payments where required, and keep track of matters due or expected to be billed using A.I tools.
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