Support SAP integration and AI projects as a working student, contributing to AI-powered integration scenarios, API management, and internal enablement materials.
Responsibilities
Build and evaluate AI-powered integration scenarios using SAP Integration Suite and SAP AI Core / SAP Gen AI Hub
Develop and test integration flows leveraging generative AI, including intelligent document processing and AI-assisted iFlow generation
Research and prototype agentic AI use cases combining SAP Business AI Platform with Model Context Protocol and AI agent frameworks
Assist in API management tasks such as configuring API proxies, analyzing governance patterns, and documenting best practices
Contribute to internal enablement materials, customer demos, and best-practice documentation for AI integration topics
Requirements
Bachelor's in Computer Science, Business Informatics, Data Science, Natural Sciences or related field
Lead and architect scalable infrastructure solutions integrating AI/ML capabilities for Visa’s payment technology ecosystem.
Compensation
For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Develop and architect robust, scalable solutions integrating AI capabilities
Design and build infrastructure using IaC and automated testing
Lead technical initiatives leveraging agentic AI and LLMs
Deliver secure, highly available infrastructure solutions through automation
Drive design and implementation of solutions on major public clouds
Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS
Compensation
For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS
Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality
Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards
Develop robust and scalable products intended for a myriad of customers including end-user merchants, B2B, and business to government solutions
As a Deployment Strategist, Public Sector, you’ll work alongside Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, across US federal agencies and state, local and education (SLED) organizations.
Locations (2)
Washington, DC, United States
United States
Responsibilities
Work with agency leaders, program offices, prime contractors, state and municipal departments, and school and university systems to find the highest-impact opportunities for AI agents.
Own flagship deals end-to-end: identify the use case, shape the commercial structure alongside GTM and contracts partners, and navigate public sector procurement paths.
Embed with customer teams, including time onsite (in secure facilities for federal work), and own delivery outcomes.
Guide customers on agent design, orchestration, and production readiness, including security, privacy and compliance requirements.
Partner with Forward Deployed Software Engineers and Solution Engineers to build and demo solutions.
Senior Project & Program Manager leads complex, cross-functional programs from planning through execution, stabilization, and continuous improvement. Responsible for program leadership across engineering, operations, integration, logistics, supply chain, inventory, and vendors.
Compensation
$92,880.00 - $154,800.00 USD (Salary)
Responsibilities
Develop comprehensive project charters, scope documents, and resource plans.
Conduct feasibility studies, stakeholder analyses, and risk assessments to determine project viability.
Prepare detailed project schedules, budgets, and work plans.
Lead multidisciplinary teams, assigning tasks, managing workloads, and monitoring performance.
Use project management tools (e.g., MS Project, Jira, Trello) to track milestones, tasks, and deliverables.
Requirements
Bachelor’s Degree in Business Administration, Management, Computer Science, Engineering
Master’s Degree in Business Administration (MBA) (highly desirable)
This is a builder's role focused on creating a Marketing OS where AI agents handle lead qualification, campaign execution, and attribution end to end, replacing manual workflows across the marketing team.
Responsibilities
Design and deploy the agent-based system that qualifies leads, syncs data across Salesforce and marketing platforms, and triggers campaign actions automatically.
Build the attribution infrastructure required to close the current gap in inbound pipeline visibility.
Own the technical architecture connecting CRM, marketing automation, event platforms, and internal data systems into a single operating layer.
Build the infrastructure to launch coordinated, multi-market, multi-language campaigns from a single input, and to power in-product communications alongside email and other channels.
Build lead qualification and funnel systems for growth marketing, tracking each opportunity from first touch to close with minimal manual handling.
Requirements
Technical degree (engineering, computer science, or equivalent)
Nice to have: Prior exposure to a high-growth environment (startup)
Nice to have: Hands-on software development experience