AI Integration Engineer (Hybrid)

About the role

DXC Technology helps global companies run mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new performance levels, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at DXC.com. This role is focused on building the integration layer between AI agents and enterprise systems. The candidate will design and develop MCP capabilities that expose approved business functions and data to AI applications through secure, controlled, and reusable interfaces. The candidate will work closely with AI developers, PeopleSoft developers, data engineers, DBAs, platform engineers, and cybersecurity personnel to ensure AI agents can access enterprise capabilities without bypassing existing security, authorization, data, or business-process controls. As a valued member of the team, you will help deliver secure and maintainable AI integration capabilities for mission-critical Federal Government systems. Clearance: Must be a US Citizen with an active Secret Security Clearance. Work Environment: Hybrid, on-site 2-3 days, Crystal City, Arlington, VA.

Responsibilities

• Design, develop, test, and maintain Model Context Protocol (MCP) servers and supporting integration components using Python.
• Develop reusable MCP tools, resources, prompts, schemas, and interfaces that allow AI agents to interact with approved enterprise applications, databases, APIs, and data sources.
• Build MCP capabilities that securely expose enterprise functions such as search, retrieval, lookup, summarization support, case information, workflow information, knowledge content, and other approved business capabilities.
• Develop Python-based connectors and services that translate MCP tool requests into secure calls to enterprise APIs, databases, web services, and application interfaces.
• Design MCP tools with clearly defined inputs, outputs, validation rules, permissions, error handling, and operational boundaries.
• Implement secure read-only and transactional integration patterns, ensuring AI agents can perform only explicitly authorized actions.
• Develop and maintain REST/SOAP APIs, backend services, adapters, and supporting integration logic where MCP tools require access to existing enterprise systems.
• Integrate MCP services with Oracle databases, enterprise applications, case-management systems, knowledge repositories, and other approved data sources.
• Work with PeopleSoft technical teams to expose approved PeopleSoft HCM and CRM functionality through Integration Broker, Component Interfaces, web services, queries, APIs, database interfaces, or other appropriate integration mechanisms.
• Develop database queries and data-access components used by MCP tools while applying appropriate data filtering, validation, security, and access controls.
• Implement authentication and authorization for MCP servers and downstream enterprise connections using approved service identities, tokens, certificates, credentials, and cloud identity mechanisms.
• Apply least-privilege principles to MCP tools and service accounts so agents receive only the data and capabilities required for a specific use case.
• Implement input validation, output validation, schema enforcement, exception handling, retries, timeouts, logging, and other