Virtusa Corporation

Senior Project Manager

Virtusa Corporation$110K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 10-15 years of relevant experience in data engineering or a similar role.
  • Proven experience with generative AI technologies.
  • Strong proficiency in Python, particularly in AsyncIO and multithreading.
  • Solid understanding of metric-based evaluation methodologies.

Responsibilities

  • Design and implement data pipelines using agentic design patterns.
  • Utilize LangChain and LangGraph for data processing and analysis.
  • Integrate and optimize data solutions with Azure AI Foundry.
  • Conduct metric-based evaluations to assess data quality and performance.
  • Implement multithreading and asynchronous programming using Python and AsyncIO.
  • Collaborate with DevOps teams to ensure seamless CI/CD processes.
  • Manage infrastructure using Docker and Terraform.

Benefits

  • Opportunity to work on cutting-edge generative AI technologies.
  • Engagement with innovative frameworks like LangChain and LangGraph.
  • Collaborative work environment with DevOps integration.
  • Focus on metric-based evaluation for data integrity.
  • Exposure to industry-leading cloud technologies with Azure AI Foundry.
Full Job Description
Data AI Specialist

Location: PCS CATORONTO

Years of Experience: 10-15 Years

Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in agentic frameworks and generative AI. The ideal candidate will be responsible for designing and implementing data solutions that leverage LangChain and LangGraph, while integrating with Azure AI Foundry. The role requires a strong understanding of metric-based evaluations and the ability to work with LLMs as judges in data processing workflows.

Responsibilities:
  • Design and implement data pipelines using agentic design patterns.
  • Utilize LangChain and LangGraph for data processing and analysis.
  • Integrate and optimize data solutions with Azure AI Foundry.
  • Conduct metric-based evaluations to assess data quality and performance.
  • Implement multithreading and asynchronous programming using Python and AsyncIO.
  • Collaborate with DevOps teams to ensure seamless CI/CD processes.
  • Manage infrastructure using Docker and Terraform.

Mandatory Skills:
  • Proven experience with generative AI technologies.
  • Strong proficiency in Python, particularly in AsyncIO and multithreading.
  • Experience with LangChain and LangGraph frameworks.
  • Familiarity with Azure AI Foundry and its integration capabilities.
  • Solid understanding of metric-based evaluation methodologies.

Preferred Skills:
  • Experience with DevOps practices and tools.
  • Knowledge of Docker and Terraform for infrastructure management.
  • Familiarity with CI/CD pipelines and best practices.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 10-15 years of relevant experience in data engineering or a similar role.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

About Virtusa Corporation

Virtusa Corporation is a global provider of digital business strategy, digital engineering, and information technology (IT) services and solutions. The company helps its clients transform their businesses through innovative technology solutions that enable them to improve customer engagement, increase operational efficiency, and drive revenue growth. Virtusa Corporation was founded in 1996 and is headquartered in Southborough, Massachusetts. The company has over 20,000 employees and operates in over 30 countries around the world. Virtusa Corporation is committed to sustainability and has received numerous awards for its environmental and social responsibility initiatives.
Learn more about Virtusa Corporation
Size
22,883 employees
Market Cap
$1.5 billion
Industry
Net Income
$44.6 million
Founded
1996
5 Year Trend
+22.3%
Revenue
$1.2 billion
NASDAQ

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