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Full Stack LLM Development Manager

at Accenture

Back to all Data Science / AI / ML jobs
Accenture logo
Consultancies

Full Stack LLM Development Manager

at Accenture

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Houston
Country
United States

Lead the design, development, and modification of scalable full-stack solutions that integrate Large Language Models (LLMs) using Azure services (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 domains. Design and manage CI/CD workflows using Azure DevOps and Docker; supervise software development cycles and guide team members to maintain performance and reliability. Collaborate with cross-functional teams and stakeholders to gather requirements and develop scalable, AI-powered features and workflows.

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.

Full Stack LLM Development Manager

at Accenture

Back to all Data Science / AI / ML jobs
Accenture logo
Consultancies

Full Stack LLM Development Manager

at Accenture

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Houston
Country
United States

Lead the design, development, and modification of scalable full-stack solutions that integrate Large Language Models (LLMs) using Azure services (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 domains. Design and manage CI/CD workflows using Azure DevOps and Docker; supervise software development cycles and guide team members to maintain performance and reliability. Collaborate with cross-functional teams and stakeholders to gather requirements and develop scalable, AI-powered features and workflows.

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.

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