AI Integration Engineer (Hybrid)

DXC Technology Company; Arlington (VA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

DXC Technology in Arlington is seeking a capable software professional to design, develop, test, and maintain MCP servers and tools in Python, supporting integrations across enterprise applications, databases, APIs, and data sources.

The role emphasizes secure read-only and transactional patterns, authentication, least-privilege access, and collaboration with PeopleSoft teams. Hybrid work; US citizenship with a Secret clearance required.

Qualifications

• 3+ years in software development, integration, or enterprise middleware.
• Strong Python development and API skills.
• Experience with MCP servers/tools or AI tool-integration capabilities.
• Knowledge of REST APIs, JSON, HTTP, auth, and enterprise integration patterns.
• Experience with secure service-to-service communication and least-privilege access.

Responsibilities

• Design, develop, test, and maintain MCP servers and Python components.
• Develop reusable MCP tools, resources, prompts, schemas, and interfaces for enterprise apps.
• Build MCP capabilities that securely expose enterprise functions.
• Develop Python-based connectors to enterprise APIs, databases, web services, and interfaces.
• Design MCP tools with inputs/outputs, validation rules, and error handling.
• Implement authentication/authorization for MCP servers and downstream connections.
• Maintain MCP interface docs, API specs, data mappings, and deployment procedures.
• Participate in Agile/SAFe delivery activities.

Skills

Python

API development

REST APIs

Security clearance

CI/CD

Troubleshooting

Education

Bachelor's degree in CS / related field

Tools

Oracle

PeopleSoft

Git

Docker

Kubernetes

OpenAPI/Swagger

Job description

Job Description

DXC Technology (NYSE: DXC) helps global companies run their 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.

• 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 reliability patterns across MCP and API integrations.
• Prevent inappropriate direct access to enterprise applications or databases by creating controlled integration interfaces and reusable service boundaries.
• Develop mocks, simulated services, test harnesses, and automated integration tests to validate MCP behavior without requiring inappropriate use of sensitive production data.
• Troubleshoot issues across MCP servers, Python code, APIs, authentication, database connections, application interfaces, network connectivity, and downstream services.
• Analyze agent tool calls and integration behavior to identify incorrect tool usage, invalid parameters, excessive permissions, failed transactions, or other integration defects.
• Maintain MCP interface documentation, tool definitions, API specifications, data mappings, authentication requirements, deployment procedures, and operational support documentation.
• Establish reusable MCP development patterns, coding standards, naming conventions, security practices, and integration frameworks for use across multiple AI agents and use cases.
• Participate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and other Agile/SAFe delivery activities.
• Other duties as assigned.

Requirements

• Must be a U.S. Citizen with an active Secret security clearance or be able to obtain one.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field; equivalent relevant experience may be considered.
• 3+ years of hands‑on software development, systems integration, API development, middleware, backend development, or comparable enterprise integration experience.
• Strong hands‑on Python development skills, including development of services, APIs, libraries, connectors, and integration components.
• Hands‑on experience developing Model Context Protocol (MCP) servers, tools, resources, or comparable AI tool‑integration capabilities.
• Experience designing and implementing integrations between applications, APIs, databases, and enterprise services.
• Strong knowledge of REST APIs, JSON, HTTP, authentication, authorization, input/output schemas, and enterprise integration patterns.
• Experience developing secure database integrations using SQL and appropriate database‑access libraries or APIs.
• Experience implementing service authentication, secrets management, certificate or token‑based authentication, least‑privilege access, and secure service‑to‑service communication.
• Experience with integration reliability patterns including validation, retries, timeouts, exception handling, logging, monitoring, and failure recovery.
• Experience with automated testing, Git/source control, code reviews, CI/CD, debugging, and modern software‑development practices.
• Strong troubleshooting skills across application code, MCP services, APIs, authentication, databases, and enterprise systems.

Desired Skills

• Advanced hands‑on experience designing and developing enterprise MCP servers and reusable MCP tools for AI agents.
• Experience defining MCP tool schemas, resource interfaces, permissions, input validation, structured outputs, and secure execution boundaries.
• Experience developing MCP integrations with databases, case‑management platforms, knowledge repositories, ERP systems, or other complex enterprise applications.
• Experience integrating AI agents with structured enterprise data and transactional business systems.
• Experience with Oracle Database and strong SQL skills.
• Experience with Oracle PL/SQL, including stored procedures, packages, functions, views, queries, and database‑side business logic, is a strong plus.
• Experience integrating with PeopleSoft HCM or PeopleSoft CRM using Integration Broker, Component Interfaces, REST/SOAP services, PeopleTools, SQL, or related technologies.
• Experience developing or consuming REST/SOAP services using OpenAPI/Swagger or comparable API‑definition standards.
• Experience with boto3, botocore, cloud SDKs, or related Python libraries used to access cloud‑hosted services.
• Experience with OAuth/OIDC, service identities, certificates, API keys, tokens, and enterprise identity‑management patterns.
• Understanding of AI‑specific integration risks including prompt injection, inappropriate tool invocation, excessive permissions, data leakage, and unauthorized transactions.
• Experience implementing human approval, validation, or other controls around AI‑initiated transactional actions.
• Experience with Docker, Kubernetes, OCI Functions, API Gateway,