{"id":3118719,"url":"https://alion.io/job/spatial-front-ai-integration-engineer","title":"AI Integration Engineer","company":{"id":4414873,"name":"Spatial Front","domain":"spatialfront.com","url":"https://alion.io/company/spatial-front","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":{"grade":"B","score":75,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Least Privilege","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Oracle","optional":false},{"name":"Oracle ERP","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"API Gateway","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Boto3","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Structured Outputs","optional":true},{"name":"Swagger","optional":true}],"status":"live","first_seen_at":"2026-10-14T13:04:41Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-02T10:04:06Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Description\nSpatial Front, Inc. (SFI) is seeking an AI Integration Engineer to support our growing modernization team. SFI was recently awarded the 2025 USA Today National Top Places to Work award and the 2025 Washington Post Top Workplaces. The ideal candidate will perform hands-on development of Model Context Protocol (MCP) servers, tools, connectors, APIs, and supporting integration services that enable artificial intelligence agents to securely interact with enterprise applications, databases, and data sources supporting PeopleSoft HCM and related systems.\nThis 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 SFI team, you will help deliver secure and maintainable AI integration capabilities for mission-critical Federal Government systems.\nLocation\nCrystal City, VA - On-Site/Hybrid\nResponsibilities\nDesign, develop, test, and maintain Model Context Protocol (MCP) servers and supporting integration components using Python.\nDevelop reusable MCP tools, resources, prompts, schemas, and interfaces that allow AI agents to interact with approved enterprise applications, databases, APIs, and data sources.\nBuild 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.\nDevelop Python-based connectors and services that translate MCP tool requests into secure calls to enterprise APIs, databases, web services, and application interfaces.\nDesign MCP tools with clearly defined inputs, outputs, validation rules, permissions, error handling, and operational boundaries.\nImplement secure read-only and transactional integration patterns, ensuring AI agents can perform only explicitly authorized actions.\nDevelop and maintain REST/SOAP APIs, backend services, adapters, and supporting integration logic where MCP tools require access to existing enterprise systems.\nIntegrate MCP services with Oracle databases, enterprise applications, case-management systems, knowledge repositories, and other approved data sources.\nWork 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.\nDevelop database queries and data-access components used by MCP tools while applying appropriate data filtering, validation, security, and access controls.\nImplement authentication and authorization for MCP servers and downstream enterprise connections using approved service identities, tokens, certificates, credentials, and cloud identity mechanisms.\nApply least-privilege principles to MCP tools and service accounts so agents receive only the data and capabilities required for a specific use case.\nImplement input validation, output validation, schema enforcement, exception handling, retries, timeouts, logging, and other reliability patterns across MCP and API integrations.\nPrevent inappropriate direct access to enterprise applications or databases by creating controlled integration interfaces and reusable service boundaries.\nDevelop mocks, simulated services, test harnesses, and automated integration tests to validate MCP behavior without requiring inappropriate use of sensitive production data.\nTroubleshoot issues across MCP servers, Python code, APIs, authentication, database connections, application interfaces, network connectivity, and downstream services.\nAnalyze agent tool calls and integration behavior to identify incorrect tool usage, invalid parameters, excessive permissions, failed transactions, or other integration defects.\nMaintain MCP interface documentation, tool definitions, API specifications, data mappings, authentication requirements, deployment procedures, and operational support documentation.\nEstablish reusable MCP development patterns, coding standards, naming conventions, security practices, and integration frameworks for use across multiple AI agents and use cases.\nParticipate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and other Agile/SAFe delivery activities.\nOther duties as assigned.\nRequirements\n Must be a U.S. Citizen with an active Secret security clearance or be able to obtain one. \nBachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field; equivalent relevant experience may be considered.\n3+ years of hands-on software development, systems integration, API development, middleware, backend development, or comparable enterprise integration experience.\nStrong hands-on Python development skills, including development of services, APIs, libraries, connectors, and integration components.\nHands-on experience developing Model Context Protocol (MCP) servers, tools, resources, or comparable AI tool-integration capabilities.\nExperience designing and implementing integrations between applications, APIs, databases, and enterprise services.\nStrong knowledge of REST APIs, JSON, HTTP, authentication, authorization, input/output schemas, and enterprise integration patterns.\nExperience developing secure database integrations using SQL and appropriate database-access libraries or APIs.\nExperience implementing service authentication, secrets management, certificate or token-based authentication, least-privilege access, and secure service-to-service communication.\nExperience with integration reliability patterns including validation, retries, timeouts, exception handling, logging, monitoring, and failure recovery.\nExperience with automated testing, Git/source control, code reviews, CI/CD, debugging, and modern software-development practices.\nStrong troubleshooting skills across application code, MCP services, APIs, authentication, databases, and enterprise systems.\nDesired Skills\nAdvanced hands-on experience designing and developing enterprise MCP servers and reusable MCP tools for AI agents.\nExperience defining MCP tool schemas, resource interfaces, permissions, input validation, structured outputs, and secure execution boundaries.\nExperience developing MCP integrations with databases, case-management platforms, knowledge repositories, ERP systems, or other complex enterprise applications.\nExperience integrating AI agents with structured enterprise data and transactional business systems.\nExperience with Oracle Database and strong SQL skills.\nExperience with Oracle PL/SQL, including stored procedures, packages, functions, views, queries, and database-side business logic, is a strong plus.\nExperience integrating with PeopleSoft HCM or PeopleSoft CRM using Integration Broker, Component Interfaces, REST/SOAP services, PeopleTools, SQL, or related technologies.\nExperience developing or consuming REST/SOAP services using OpenAPI/Swagger or comparable API-definition standards.\nExperience with boto3, botocore, cloud SDKs, or related Python libraries used to access cloud-hosted services.\nExperience with OAuth/OIDC, service identities, certificates, API keys, tokens, and enterprise identity-management patterns.\nUnderstanding of AI-specific integration risks including prompt injection, inappropriate tool invocation, excessive permissions, data leakage, and unauthorized transactions.\nExperience implementing human approval, validation, or other controls around AI-initiated transactional actions.\nExperience with Docker, Kubernetes, OCI Functions, API Gateway, or comparable cloud-native application and integration technologies.\nFamiliarity with OCI and deployment of MCP or AI integration services within secured Oracle Cloud Infrastructure environments is a plus.\nExperience working in Agile or SAFe environments and using Azure DevOps (ADO) or a similar lifecycle-management tool.\nExperience supporting secured Federal or DoD enterprise systems is preferred.\nOracle, Python, API/integration, cloud, or related certification is a plus.\nAdditional Information\nClearance: Must be a U.S. Citizen with an active Secret security clearance.\n Work Environment: Onsite/Hybrid as required by the contract.\nThis is a full-time, W2 position.\nNo agencies, third parties, or Corp-to-Corp submissions.\nSpatial Front Inc. is an Equal Opportunity Employer - all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.\nSFI participates in 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