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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI/ML applicationsRESTful APIsmicroservicesperformance testingintegration testingunit testingdata preparationmodel trainingmonitoring

Soft Skills

communicationinterpersonal skillsstakeholder managementleadershipcross-functional collaborationmentoringarticulating technical conceptsinfluencing outcomesproblem-solvingadaptability

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data ScienceMaster's degree (preferred)