AI and Automation Engineer

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The AI and Automation Engineer role is responsible for oversight of the development and administration of process automation and data‑centered AI projects that ultimately improve current processes and promote the company’s expansion. With deep knowledge and expertise in utilizing process automation and AI to solve complex, real‑world problems, the incumbent recommends, and completes data‑driven and process‑driven projects that are geared at furthering the company’s interests.

He/She pilots the development of cutting‑edge Automation, Artificial Intelligence (AI) and Machine Learning (ML) driven solutions based on a rich stream of legal documents, statutes, claims, payer, and behavioral data. The role operates in a highly collaborative environment of automation engineers, data scientists, AI engineers, domain experts and business leaders to deliver automation and analytics products that have the potential to fundamentally alter how legal services are thought about and delivered on a large scale.

• Design, develop, and maintain scalable workflows and RPA solutions using Power Platform (Power Automate, Power Apps, Workato, UiPath, or similar technologies).
• Build custom connectors, applications, and integrations using Power Automate, SQL, Python, JavaScript, Power Shell, React, and C#.
• Collaborate with business stakeholders to gather requirements and translate them into technical AI and automation solutions.
• Lead end‑to‑end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Ensure compliance and data governance standards are executed during automation implementation.
• Monitor and optimize bot or automation or AI model performance, handle exceptions, and ensure high availability of automation workflows.
• Contribute to the development of AI and automation best practices, governance, procedures, and reusable components.
• Develop complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Perform and lead the analysis of both structured and unstructured data to address various complex business challenges.
• Design, develop, and deploy AI agents and GenAI models, focusing on cognitive architecture, knowledge graph embedding, and multimodal learning.
• Implement and manage MLOps and LLMOps pipelines ensuring efficient and automated model training, testing, deployment, and monitoring.
• Integrate AI/ML models with larger systems, including cloud‑based infrastructure, software applications, and data platforms.
• Stay up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in our AI technology stack.
• Manage large and complex analytical projects from data exploration, model building, performance evaluation and testing.
• Identify meaningful insights from “big data” sources, assist in the creation of required ETL pipelines and data structures for Azure Data Lake and data factory.
• Perform other duties as assigned and modified at manager’s discretion.

• Astute business acumen and acuity.
• Hands‑on experience and strong expertise in advanced automation solution implementation.
• Knowledge and understanding of agentic AI and ML fundamentals including classical ML, deep learning techniques, and LLMs.
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non‑technical audiences.
• Superb interpersonal, organization, time‑management, and coordination skills.
• Task‑oriented with an ability to set goals and complete deliverables.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Demonstrated aptitude in Python with hands‑on experience implementing production machine learning systems.
• Skilled with relational databases, programming languages, web app frameworks, libraries, and tools such as Power Automate, SQL, Python, C#, React,…