AI Engineer at Valsoft Corp. designing and deploying machine learning solutions for product enhancement. Collaborating with teams to implement scalable AI features and optimize performance.
About the role
- Lead AI Engineer designing and developing AI services for Mastercard's platforms and applications. Collaborate with teams for scalable and efficient AI capabilities across diverse use cases.
Responsibilities
- Provide platform level support for AI use cases across Microsoft Copilot Studio, Power Platform, Data bricks, AWS, Azure, etc., helping teams adopt standards, tooling, and governance that enable rapid development and deployment across the organization
- Lead the end-to-end design and development of AI powered services, focusing on modularity, scalability, and reusability to support various business units and applications
- Drive the transition of AI models from notebook based PoCs and experimental phases into hardened, production grade components and services, ensuring performance, reliability, and maintainability
- Design and implement robust APIs for AI services, facilitating seamless integration with existing Mastercard platforms and external systems
- Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost efficiency
- Collaborate closely with data scientists, MLOps engineers, product owners, and external partners to translate business requirements into technical specifications for agentic AI services
- Mentor junior engineers on best practices for AI software development and scaling
- Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices
Requirements
- Bachelor’s degree in computer science, Engineering, Data Science, or a related technical field
- Master’s degree preferred
- Professional experience in software development with a focus on building and deploying AI/ML powered applications or micro services in production environments
- Proficiency in MSFT Power Platform, Azure Foundry, Copilot Studio, AWS Bedrock / Sage maker, Docker, Kubernetes, Databricks, etc. tools and practices tailored for AI/ML systems
- Strong proficiency in Python is required
- Hands on experience working with agentic frameworks such as LangChain, LangChain, CrewAI or AutoGen are required
- Extensive experience designing, developing, and deploying RESTful APIs and micro services
- Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring
- Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models
- Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
- Proven ability to lead technical initiatives, drive cross functional projects, and influence outcomes within a fast-paced environment
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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