Solution Architect – Virtusa

Solution Architect
Telangana, India, Hyderabad
September 22, 2026
Full Time

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Job Description

Virtusa is recruiting a solution architect in Hyderabad to create innovative AI and emerging technology solutions. Responsibilities of a solution architect include creating AI/ML solutions, generative AI, and multimodal solutions using the latest platform. It also includes the development of an end-to-end MLOps pipeline, cloud deployment, and optimization of AI workload in an enterprise setting. Responsibilities also include designing agentic AI systems to test and create software and smart pipelines.

Experience: Expertise in creation & deployment of AI/ML models 

Qualification: Bachelor’s Degree/Master’s Degree (Preferred)

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Responsibilities

  • Design, build, and deliver scalable AI/ML and Generative AI solutions through TensorFlow, PyTorch, Hugging Face, LangChain, and other related frameworks.
  • Create an end-to-end MLOps workflow using MLflow, DVC, Kubeflow, and CI/CD for improvement in the process of developing and deploying models.
  • Create agentic AI solutions which can be used in testing operations including testing plans, testing executions, finding bugs, and reporting of the results.
  • Design data pipelines, RESTful APIs, and microservices which can assist in building the functionality of AI in terms of image, audio, and text.
  • Take on leadership responsibilities in terms of promoting technical best practices, mentoring other team members, and monitoring AI systems.

Qualifications

  • Professional experience in development and deployment of AI/ML models using Machine Learning, Deep Learning, and Generative AI.
  • Experience in using MLOps tools such as MLflow, DVC, Kubeflow, and CI/CD for the machine learning pipeline.
  • Expert in development and deployment of AI models that scale in cloud environments including AWS, Azure, Kubernetes, Docker, and Terraform.
  • Experience in data engineering, feature engineering, and development of RESTful APIs and microservices-based architecture for AI solutions.
  • Expert in analytics and problem solving in complex and emerging technology solutions.

Preferred Qualifications

  • Hands-on experience in tuning large language models such as OpenAI, Llama, Mistral, or Gemini for a certain application.
  • Knowledge of agentic AI and autonomous agents that can reason, learn, and collaborate during the process of software testing.
  • Hands-on experience in using Google Cloud tools including Vertex AI, BigQuery, and Cloud Functions to create and optimize AI pipelines.
  • Hands-on experience in using the AgentSpace platform or any other such platform for intelligent agent implementation.
  • Knowledge of Java and C++ programming languages and responsible AI.

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