Job Description

The AI Conversing SRE is responsible for ensuring the reliability, scalability, and efficiency of conversational AI systems and services. This role focuses on deploying, monitoring, and maintaining chatbots, virtual assistants, and natural language processing (NLP)-based systems. You will collaborate with AI/ML engineers, developers, and operations teams to deliver high-performance AI solutions for real-time user interactions.


Typical Responsibilities


focuses on ensuring the reliability and performance of AI-driven conversational systems, such as chatbots or virtual assistants


monitor system health, resolve issues, optimize infrastructure, and collaborate with engineering teams to ensure these systems deliver seamless, scalable, and efficient user interactions.


Candidate Requirements


Technical Skills:


Strong proficiency in programming languages like Python, Java, or Go.


Experience with conversational AI platforms and frameworks (e.g., Rasa, Dialogflow, Amazon Lex, Microsoft Bot Framework).


Hands-on experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack).


Proficient in managing cloud-based AI services on AWS, Azure, or GCP.


Knowledge of containerization (Docker) and orchestration (Kubernetes).


Familiarity with NLP concepts and libraries such as spaCy, Hugging Face Transformers, or NLTK.


Experience with CI/CD pipelines and automation tools like Jenkins or GitLab CI.


Education and Experience:


Bachelor degree in Computer Science, Information Technology, or a related field.


Five years of experience in SRE, DevOps, or AI/ML operations roles, with specific experience in conversational AI.


Soft Skills


Strong analytical and troubleshooting skills.


Excellent communication and collaboration skills for working with cross-functional teams.


Ability to manage multiple tasks in a fast-paced environment.


Nice-to-Have:


Experience with A/B testing and user feedback loops for conversational systems.


Knowledge of voice assistants and speech-to-text technologies.


Familiarity with advanced NLP techniques like fine-tuning transformers or intent recognition.


Certifications in cloud platforms or conversational AI frameworks.

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.