Job Description

The Mid-level AI Cross Capability SRE is responsible for maintaining the reliability, scalability, and performance of AI systems that span multiple capabilities, such as computer vision, natural language processing, and data analytics. This role involves managing the integration of diverse AI solutions, ensuring seamless collaboration between systems, and addressing operational challenges across cross-functional AI deployments. You will work closely with engineering, data science, and DevOps teams to deliver robust, high-performing AI systems.


Typical Responsibilities


ensuring the reliability, scalability, and performance of AI systems across multiple platforms and capabilities while emphasizing reusability of components


collaborate with cross-functional teams to optimize infrastructure, monitor system health, troubleshoot issues, and ensure seamless integration of AI models into various business functions.


Candidate Requirements


Technical Skills


Proficiency in programming languages like Python, Java, or Go.


Experience with cloud platforms (AWS, Azure, GCP) and AI-specific services across them.


Hands-on expertise in containerization (Docker) and orchestration (Kubernetes).


Familiarity with monitoring tools like Prometheus, Grafana, and ELK Stack for multi-service environments.


Knowledge of MLOps tools (e.g., MLflow, Kubeflow, SageMaker) and AI pipeline orchestration.


Strong understanding of AI concepts, including NLP, computer vision, and data analytics.


Experience with distributed systems and data processing frameworks (e.g., Apache Spark, Kafka).


Education and Experience


Bachelor degree in Computer Science, Data Science, or related fields.


Three years of experience in SRE, DevOps, or AI/ML operations roles, with exposure to multi-capability AI systems.


Soft Skills


Strong analytical and problem-solving skills, with attention to detail.


Excellent collaboration and communication skills to work across diverse teams.


Ability to adapt to a fast-paced, dynamic work environment.


Nice-to-Have


Knowledge of advanced AI frameworks and libraries, such as TensorFlow, PyTorch, or Hugging Face Transformers.


Experience with data engineering tools and techniques, including ETL pipelines.


Certifications in cloud platforms or relevant AI/ML technologies.


Exposure to AI governance and compliance best practices.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.