Full Stack LLM Development Manager

Accenture • Houston, TX

3d

About The Position

Full Stack LLM Development Manager (Accenture LLP; Houston, TX): Accenture LLP has multiple openings for the position of Full Stack LLM Development Manager in Houston, TX, and the job duties are as follows: Design, develop, and modify scalable full-stack solutions that integrate Large Language Models (LLMs), leveraging Azure services, including Azure Databricks, Azure AI, and Azure Data Factory to meet business and user requirements. Build and optimize Azure Data Factory pipelines for ingestion, transformation, and AI-enhanced analysis of large-scale datasets from healthcare and enterprise domain. Modify existing software and transition systems to modern platforms that optimize performance and maintainability. Design and manage CI/CD workflows using Azure DevOps and Docker. Develop and automate operational workflows that support efficient deployment, scaling, and monitoring of system components utilizing PowerShell and Bash. Monitor system performance, AI model performance and apply software modifications to meet performance and reliability standards. Design and conduct system testing and validation procedures to ensure operational continuity and compliance. Supervise software development cycles and collaborate with stakeholders to align implementation with design feasibility, cost constraints, and business goals. Collaborate with cross-functional teams and stakeholders to gather requirements and develop scalable, AI-powered features and workflows. Supervise the work of programmers and technical staff, review project code for consistency, and train team members in system best practices.

Requirements

• Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.
• Must have 5 years of experience in each of the following: Building data solutions utilizing Azure Databricks, Data Factory, Logic Apps, Functions, Web Apps, Web Jobs, and Azure Key Vault; Managing cloud storage and messaging services including Azure SQL, Cosmos DB, Blob Storage, and Service Bus; Monitoring and performance tuning data pipelines and applications using Azure Application Insights for real-time telemetry tracking; Utilizing Stream Analytics to perform real-time data ingestion and processing; Utilizing Log Analytics Workspace to perform log data analysis to ensure operational efficiency and compliance; Implementing CI/CD pipelines and cloud automation using Azure DevOps, PowerShell, and Docker; and Developing custom components and data transformation logic, automating data workflows, and building REST APIs, utilizing Python.
• Must have 3 years of experience in each of the following: Leading cross-functional teams and reviewing code to ensure quality, maintainability, and adherence to secure, industry-standard design practices; and Defining solution architectures by establishing data modeling standards and creating high-level design documents.
• Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

Responsibilities

• Design, develop, and modify scalable full-stack solutions that integrate Large Language Models (LLMs), leveraging Azure services, including Azure Databricks, Azure AI, and Azure Data Factory to meet business and user requirements.
• Build and optimize Azure Data Factory pipelines for ingestion, transformation, and AI-enhanced analysis of large-scale datasets from healthcare and enterprise domain.
• Modify existing software and transition systems to modern platforms that optimize performance and maintainability.
• Design and manage CI/CD workflows using Azure DevOps and Docker.
• Develop and automate operational workflows that support efficient deployment, scaling, and monitoring of system components utilizing PowerShell and Bash.
• Monitor system performance, AI model performance and apply software modifications to meet performance and reliability standards.
• Design and conduct system testing and validation procedures to ensure operational continuity and compliance.
• Supervise software development cycles and collaborate with stakeholders to align implementation with design feasibility, cost constraints, and business goals.
• Collaborate with cross-functional teams and stakeholders to gather requirements and develop scalable, AI-powered features and workflows.
• Supervise the work of programmers and technical staff, review project code for consistency, and train team members in system best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level