IVR Systems Operations Engineer Sr

IVR Systems Operations Engineer Sr

Required Qualifications

• Extensive Industry Experience: Proven experience (e.g. 5+ years) in software development and architecture, building large-scale AI or cloud-based solutions in production environments.
• AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition. Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
• Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services. Knowledge of  CI/CD, Azure and AWS container services for deploying AI workloads.
• Programming & DevOps Skills: Proficient in modern programming languages (such as Python, Java, C#, or similar) and building APIs or microservices. Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
• System Design & Architecture: Deep knowledge of scalable, distributed systems design and cloud-native architecture. Experience implementing microservices, containerization, and API integration.
• Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges. Innovative mindset to drive continuous improvement and to evaluate emerging technologies for potential adoption.
• Communication: Excellent communication skills, with ability to explain complex AI solutions and technical strategies to diverse stakeholders.

Preferred Qualifications

• Financial Services Familiarity: Experience working in banking, fintech, or other heavily regulated industries and understanding of compliance, security, and data privacy considerations for AI solutions in these environments.
• AI Research & Innovation: Demonstrated interest in emerging AI trends (such as agentic AI, multi-modal models, reinforcement learning, etc.) and experience bringing new AI concepts from prototype to production.
• Advanced Degree: Master’s or higher degree in Computer Science, Engineering, AI, or related field (or equivalent practical experience) is a plus.

Responsibilities

Required Qualifications

• Extensive Industry Experience: Proven experience (e.g. 5+ years) in software development and architecture, building large-scale AI or cloud-based solutions in production environments.
• AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition. Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
• Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services. Knowledge of  CI/CD, Azure and AWS container services for deploying AI workloads.
• Programming & DevOps Skills: Proficient in modern programming languages (such as Python, Java, C#, or similar) and building APIs or microservices. Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
• System Design & Architecture: Deep knowledge of scalable, distributed systems design and cloud-native architecture. Experience implementing microservices, containerization, and API integration.
• Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges. Innovative mindset to drive continuous improvement and to evaluate emerging technologies for potential adoption.
• Communication: Excellent communication skills, with ability to explain complex AI solutions and technical strategies to diverse stakeholders.

Qualifications

Preferred Qualifications

• Financial Services Familiarity: Experience working in banking, fintech, or other heavily regulated industries and understanding of compliance, security, and data privacy considerations for AI solutions in these environments.
• AI Research & Innovation: Demonstrated interest in emerging AI trends (such as agentic AI, multi-modal models, reinforcement learning, etc.) and experience bringing new AI concepts from prototype to production.
• Advanced Degree: Master’s or higher degree in Computer Science, Engineering, AI, or related field (or equivalent practical experience) is a plus.

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.