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AI Integration Engineer
DXC Technology. Design, develop, test, and maintain Model Context Protocol (MCP) servers and supporting integration components using Python .
Posted 9/18/2026full-timeArlington • Virginia • United StatesMid-LevelSenior💰 $73,400 - $136,300 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in Python development, Model Context Protocol (MCP) server design, and secure API integration. Proficient in developing enterprise-level solutions with a focus on authentication, authorization, and compliance within complex systems.
Highest-signal resume keywords
Python DevelopmentModel Context Protocol (MCP) IntegrationREST/SOAP API DevelopmentDatabase Integration with SQLSecurity Practices and Authentication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonREST APIsSOAP APIsSQLOracle DatabaseMCP DevelopmentAutomated TestingIntegration PatternsData ValidationCloud SDKs
Soft Skills
TroubleshootingCollaborationAgile MethodologiesCode ReviewProblem Solving
Tools & Technologies
DockerKubernetesAzure DevOpsOpenAPI/SwaggerPeopleSoft HCMPeopleSoft CRMBoto3BotocoreOCI FunctionsAPI Gateway
Certifications & Qualifications
Oracle CertificationPython CertificationAPI/Integration Certification
Industry Keywords
Enterprise IntegrationAI IntegrationSecurity ClearanceFederal SystemsDoD Systems
Tech Stack
Tools & technologiesAzureCloudDockerERPKubernetesOraclePythonSOAPSQL
About the role
Key responsibilities & impact- 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 for AI agents to interact with approved enterprise applications, databases, APIs, and data sources
- Build secure MCP capabilities for search, retrieval, lookup, summarization support, case information, workflow information, knowledge content, and other approved business capabilities
- Develop Python-based connectors and services translating MCP tool requests into secure calls to enterprise APIs, databases, web services, and application interfaces
- Design MCP tools with defined inputs, outputs, validation rules, permissions, error handling, and operational boundaries
- Implement secure read-only and transactional integration patterns with explicitly authorized actions
- Develop and maintain REST/SOAP APIs, backend services, adapters, and integration logic
- Integrate MCP services with Oracle databases, enterprise applications, case-management systems, knowledge repositories, and approved data sources
- Expose approved PeopleSoft HCM and CRM functionality through Integration Broker, Component Interfaces, web services, queries, APIs, database interfaces, or other integration mechanisms
- Develop database queries and data-access components with filtering, validation, security, and access controls
- Implement authentication and authorization for MCP servers and downstream enterprise connections
- Apply least-privilege principles to MCP tools and service accounts
- Implement validation, schema enforcement, exception handling, retries, timeouts, logging, and reliability patterns
- Create controlled integration interfaces and reusable service boundaries to prevent inappropriate direct access
- Develop mocks, simulated services, test harnesses, and automated integration tests
- Troubleshoot MCP servers, Python code, APIs, authentication, database connections, application interfaces, network connectivity, and downstream services
- Analyze agent tool calls and integration behavior to identify tool misuse, invalid parameters, excessive permissions, failed transactions, and 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
- Participate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and Agile/SAFe delivery activities
- Perform other duties as assigned
Requirements
What you’ll need- 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 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 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
- 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, or comparable cloud-native application and integration technologies
- Familiarity with OCI and deployment of MCP or AI integration services within secured Oracle Cloud Infrastructure environments is a plus
- Experience working in Agile or SAFe environments and using Azure DevOps (ADO) or a similar lifecycle-management tool
- Experience supporting secured Federal or DoD enterprise systems is preferred
- Oracle, Python, API/integration, cloud, or related certification is a plus
Benefits
Comp & perks- Health, dental, and vision insurance coverage
- Employee wellness program
- Life and disability insurance
- Retirement savings plan
- Paid holidays
- Paid time off
- Flexible work model supporting wellbeing, productivity, individual work styles, and life circumstances