Virtusa Corporation

Senior Software Engineer

Virtusa Corporation$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or related field.
  • 2-5 years of experience in data engineering or similar roles.
  • Proven track record of working with generative AI projects.
  • Strong knowledge of generative AI technologies and frameworks.
  • Proficiency in data engineering tools and languages (e.g., Python, SQL, Spark).

Responsibilities

  • Design and implement data pipelines to support agentic AI applications.
  • Collaborate with cross-functional teams to define project requirements and deliver solutions.
  • Utilize generative AI models to create systems that enhance operational efficiency.
  • Analyze and optimize existing data architectures for scalable AI solutions.
  • Conduct research on emerging AI technologies and integrate them into frameworks.
  • Ensure data quality and integrity throughout the data lifecycle.

Benefits

  • Health insurance and wellness programs.
  • Flexible work hours and remote work options.
  • Opportunities for professional development and training.
  • Collaborative work environment with cross-functional teams.
Full Job Description
Agentic AI Engineer

Location: US Office - Dallas

Years of Experience: 2-5 Years

Job Summary: We are seeking a skilled Agentic AI Engineer with a strong foundation in generative AI technologies. The ideal candidate will be responsible for designing, developing, and implementing data-driven solutions that leverage agentic AI principles to enhance decision-making processes and automate workflows. This role requires a blend of technical expertise and innovative thinking to drive the development of intelligent systems.

Responsibilities:
  • Design and implement data pipelines to support agentic AI applications.
  • Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
  • Utilize generative AI models to create intelligent systems that improve operational efficiency.
  • Analyze and optimize existing data architectures to support scalable AI solutions.
  • Conduct research on emerging AI technologies and integrate them into existing frameworks.
  • Ensure data quality and integrity throughout the data lifecycle.

Mandatory Skills:
  • Strong knowledge of generative AI technologies and frameworks.
  • Proficiency in data engineering tools and languages (e.g., Python, SQL, Spark).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Solid understanding of data modeling, ETL processes, and data warehousing.

Preferred Skills:
  • Familiarity with machine learning algorithms and their applications.
  • Experience with big data technologies (e.g., Hadoop, Kafka).
  • Knowledge of AI ethics and responsible AI practices.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 2-5 years of experience in data engineering or a related role.
  • Proven track record of working with generative AI projects.
  • Excellent communication and teamwork skills.

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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