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Pune · On-site · 3-5 Yrs · Sep 6
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
As a Senior AI Engineer within Mastercard's AI Center of Excellence, you will be responsible for designing, building, deploying, and operating enterprise-grade AI and Agentic AI solutions that drive innovation across Mastercard's products, platforms, and internal business functions.
Responsibilities
- Design, develop, and deploy scalable AI, machine learning and Agentic AI applications for enterprise use cases
- Lead the productionization of AI solutions, transforming PoCs into highly available, resilient, and maintainable production systems
- Build E2E AI pipelines including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement
- Develop and deploy LLM-powered applications using RAG, AI agents, vector databases, prompt engineering, and model orchestration frameworks
- Design cloud-native AI architectures leveraging containerization, Kubernetes, serverless technologies, and event-driven microservices
- Implement MLOps and AgenticOps best practices, including CI/CD, automated testing, model versioning, observability, drift detection, governance, and rollback strategies
- Optimize AI models for scalability, latency, throughput, reliability, and cost efficiency in production environments
- Collaborate with platform engineering teams to build reusable AI services, APIs, SDKs, and enterprise AI capabilities
- Ensure AI solutions adhere to Mastercard's security, architecture, privacy, compliance, and Responsible AI standards
- Evaluate emerging AI technologies and recommend adoption strategies to accelerate enterprise AI innovation.
- Partner with cross-functional teams to define technical roadmaps and deliver AI capabilities aligned with strategic business objectives
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field
- Extensive experience building and deploying production AI/ML systems in enterprise environments
- Strong software engineering skills using Python, Java, or similar programming languages
- Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes
- Strong understanding of distributed systems, APIs, microservices, and event-driven architectures
- Knowledge of model monitoring, observability, performance optimization, and AI governance.
- Strong communication and stakeholder management skills with the ability to influence technical decisions
- Enterprise-scale AI and Generative AI solutions operating reliably in production.
- Production-ready AI platforms that enable reusable capabilities across Mastercard.
- Robust MLOps and AgenticOps practices that accelerate AI delivery while maintaining quality, security, and governance
- High-performance AI services that improve customer experiences, operational efficiency, and business outcomes across Mastercard
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Senior AI Engineer at Mastercard?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastercard may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior AI Engineer role at Mastercard?
- This is a senior Senior AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.