Lead the design and implementation of an enterprise-scale Generative AI conversational platform for the hospitality industry, focusing on AI architecture, enterprise systems integration, and GenAI engineering.
Responsibilities
Architect enterprise conversational AI solutions using LLMs, RAG, agentic workflows, tool/function calling, APIs, and knowledge retrieval systems.
Lead the design and implementation of an enterprise-scale Generative AI conversational platform for the hospitality industry, combining expertise in AI architecture, enterprise systems integration, and GenAI engineering.
Responsibilities
Architect conversational AI solutions using LLMs, RAG, agentic workflows, tool/function calling, APIs, and knowledge retrieval systems.
Lead integration engineering to enable reliable, secure, and scalable data integrations across the global technology ecosystem.
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Design, build, enhance, and support enterprise integrations across cloud, SaaS, and on-premises platforms using API-led and event-driven architectures.
Develop and maintain integrations utilizing Google Apigee, GCP Pub/Sub, Oracle Integration Cloud (OIC), Oracle SOA Suite/Fusion Middleware, and AWS API Gateway.
Collaborate with enterprise architects, application teams, and business stakeholders to understand requirements and implement effective integration solutions.
Design and implement RESTful APIs, messaging solutions, and asynchronous event-driven integrations following enterprise standards and best practices.
Support end-to-end integration lifecycle activities including development, testing, and deployment.
Requirements
Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
Own the requirements process and backlog for a team or value stream within the eCommerce landscape, turning business intent into clear requirements the team can build, test, and release with confidence.
Compensation
We offer flexible hours and a hybrid working model, allowing you to work both from home and at the office. We provide competitive benefits to support health, well-being and your professional growth. This includes: a significant budget on the benefit platform and a yearly bonus.
Responsibilities
Own the requirements management process and team backlog, consolidating multiple sources of business and technical input.
Align business requirements as part of tech modernization, while translating into modernization plans.
Be key contact for the Business Leads.
Gather requirements together with solution architects, business owners, and domain stakeholders through workshops, discovery sessions, and structured analysis.
Break down business epics into features and user stories with clear acceptance criteria, scope, priorities, and traceability.
Mastercard is seeking a Senior Software Engineer to design and build production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Compensation
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Atlanta, Georgia: $115,000 - $184,000 USD
Responsibilities
Design and build scalable, resilient AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Create secure integration patterns for models, agents, tools, enterprise data, and services so that actions are attributable, authorized, auditable, and observable.
Implement orchestration and runtime patterns, including routers, supervisors, planners, stateful workflows, and asynchronous processing for multi-step AI execution.
Build reusable frameworks for model and tool invocation, context management, error handling, retries, timeouts, and compensating actions.
Integrate identity, permissions, policy enforcement, evaluation, and guardrails directly into AI execution paths.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Nice to have: LLMs
Nice to have: machine learning models
Wisconsin, United States
Compensation
The pay range for this position is listed below.
$88,500.00 - $138,000.00
Responsibilities
Coordinates, implements and configures vendor software applications.
Develops interfaces to vendor software applications and assists in deployment of solutions.
Optimizes packages to meet SLA/functional requirements.
Provides high-level technical consulting support on vendor applications and interfaces.
Coordinates with ITS Security and Infrastructure teams to ensure secure deployment of vendor applications.
Integration Technical LeadTrane Technologies · Bangalore, India
Senior Software Engineer - AI PlatformsMastercard · Atlanta, US