AI Integration Engineer
A hybrid, long-term Principal/AI Integration Engineer role in Bear, DE providing hands-on technical leadership to architect, integrate, and operationalize enterprise AI engineering platforms (e.g., Devin, MCP services, AI coding agents) across the full SDLC. Core work spans GitHub/CI-CD, DevSecOps, testing, release, and observability toolchains with enterprise security and compliance guardrails.
- Compensation
- Not disclosed
- Location
- Bear, New Castle County
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Contract
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 7+ years of Engineering experience (or equivalent via work, training, military experience, or education)
- 5+ years of technical leadership driving enterprise-scale engineering initiatives, architecture programs, platform integrations, or technology transformations
- 5+ years of hands-on software engineering, platform engineering, DevOps, API integration, cloud engineering, or infrastructure automation
- Experience designing and implementing enterprise-grade solutions across modern SDLC, DevSecOps, CI/CD, cloud, SaaS, and on-premises environments
- Experience with enterprise architecture, client/service integration, authentication, authorization, secrets management, network connectivity, and security controls
- Experience leading complex cross-functional technology initiatives and influencing engineering, product, architecture, security, risk, and operations stakeholders
- Experience establishing production readiness, observability, operational support, governance, and continuous improvement practices
Nice to have
- Experience with Generative AI, Agentic AI, AI engineering platforms, Large Language Models, and AI-assisted software engineering
- Knowledge of Model Context Protocol (MCP), MCP gateways, agent orchestration, tool integration, and secure enterprise AI architecture patterns
- Experience integrating AI-powered developer productivity tools, coding assistants, or autonomous software engineering agents into enterprise workflows
- Experience with GitHub Enterprise, GitHub Actions, Jira, Confluence, Figma, Artifactory, Sonar, Checkmarx, Black Duck, BrowserStack, BlazeMeter, Report Portal, Harness, ServiceNow, Splunk, AppDynamics
- Experience delivering enterprise technology solutions in a regulated financial services environment
- Strong understanding of secure architecture, SaaS risk assessment, third-party governance, data protection, technology risk, compliance, and operational controls
- Demonstrated ability to create reusable frameworks, reference implementations, engineering standards, technical guidance, adoption roadmaps, and enablement programs
- Ability to influence technical strategy and architecture decisions across multiple organizations and senior leadership teams
- Excellent communication, stakeholder management, and executive presentation skills
Full description
Description:
The Principal Engineer will provide hands-on technical leadership for the architecture, integration, governance, and operationalization of enterprise Al engineering platforms. The role will drive Al-enabled transformation across the end-to-end Software Development Lifecycle (SLC), including requirements, design, development, testing, deployment, release, and operations.
The ideal candidate will be a seasoned engineering and platform architect with experience integrating Al coding assistants, autonomous software engineering agents, Model Context Protocol (MCP) services, SaaS and on-premises platforms, developer toolchains, DevSecOps automation, security controls, and production operations.
The role will lead the evolution of enterprise Al enablement patterns supporting platforms such as Devin and other Al-assisted engineering solutions. The Principal Engineer will guide integration with requirements management, source control, CI/CD, security scanning, testing, release management, observability, and IT service management platforms while ensuring alignment with enterprise security, technology risk, compliance, and operational requirements.
In this role, you will:
Responsibilities:
AI Enablement Architecture and Engineering Leadership
Lead the architecture and continued evolution of enterprise Al engineering capabilities across Saas, cloud, desktop, and on-premises environments.
Design scalable, resilient, secure, and compliant integration patterns for Al coding assistants and software engineering agents.
Define enterprise patterns for Model Context Protocol (MCP), remote and hosted MCP services, MCP gateways, enterprise tools, APls, and platform interoperability.
Provide hands-on technical leadership for solution design, implementation, integration, and operationalization.
Establish reusable architecture patterns, engineering standards, reference implementations, implementation playbooks, and platform guardrails.
Lead high-level architecture, end-to-end flow, authentication and authorization, network connectivity,
API contract, and service integration design.
Al-Enabled Software Development Lifecycle
Drive Al integration across the Define, Design, Develop, Test, Deploy, Release, and Operate phases of the SDLC.
Enable integrations with requirements and collaboration platforms, including Jira and Confluence.
Enable design workflows and integrations with tools such as Figma and enterprise architecture services.
Integrate Al capabilities with developer and software supply chain platforms, including GitHub, GitHub Actions, Artifactory, Sonar, Checkmarx, and Black Duck.