AI and Automation Engineer

• The AI and Automation Engineer role is responsible for oversight of the development and administration of 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 in this role recommends, and completes data-driven and process-driven projects which 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, automation, RPA, AI, and ETL solutions using various technologies such as Playwright, Python, Power Automate, Workato, SQL, Data Pipeline, or similar technologies.
• Design, develop, and maintain intelligent document processing and AI models.
• Build custom connectors, APIs, applications, and integrations using Python, React, JavaScript, Powershell, SQL, C#, Docker, and Containers.
• 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, best practices, procedures, reusable components, 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.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Designs, develops, and deploys AI agents and GenAI models, focusing on cognitive architecture, knowledge graph embedding, and multimodal learning.
• Implements and manage MLOps and LLMOps pipelines ensuring efficient and automated model training, testing, deployment, and monitoring.
• Integrates AI/ML models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Stays up to date with the latest advancements in IDP, GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in our AI technology stack.
• Identifies meaningful insights from “big data” sources, assists in the creation of required ETL pipelines and data structures for Azure Data Lake and data factory.
• Performs other duties as assigned and modified at manager’s discretion.

• Experience Required: Minimum 2-4 years in software development, intelligent automation, and AI solutions

• Astute business acumen and acuity.
• Hands-on experience in advanced automation, workflows, and AI solution implementation.
• Working knowledge and understanding of agentic AI and ML fundamentals including classical ML, RAG, deep learning techniques, and LLMs.
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non-technical audiences.
• Strong interpersonal, organization, time-management, and coordination skills.
• Demonstrated aptitude in programming skills with hands-on experience implementing containers and function apps.
• Skilled with relational databases, programming languages, web app frameworks, libraries, and tools such as SQL, Python, C#, React, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLTK, Spacy, LangChain, Airflow, ML studio, Azure Document Intelligence, IDP, and shell scripting.
• Spoken and written fluency in English.
• This job requires the use and exercise of independent judgment.

• Bachelor’s degree in Computer Science, Data science, Analytics, Information Systems, or related field. Master’s degree is a plus.
• 2-4 years of experience in software development, intelligent automation, and AI solutions.
• Proven expertise and programming skills in many of these technologies - Python, SQL, JavaScript, React, C#, Gen AI, or similar technologies.
• Development experience with enterprise systems such as web applications and APIs.
• Experience with DevOps, containerization (e.g., Docker), and agile development methodologies.
• Familiarity with Agile methodologies and DevOps practices for automation delivery.
• Excellent problem-solving, communication, and stakeholder management skills.
• Master's degree in quantitative fields such as: Engineering, Computer Science, AI/ML, Data Science required OR experience may be considered in lieu of the required education.
• 2+ years of experience in AI/ML engineering, Automation, Data science, software development, or a related field, with a focus on GenAI and ML.
• Strong understanding of advanced mathematics, statistics, programming, data handling, ML algorithms and predictive analytics.
• A minimum of 2 years’ experience using tools in at least one cloud computing platform such as Microsoft Azure (preferred) or Google Cloud Platform.

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