The AI Automation and Integration Lead is an individual contributor and cross-functional process leader responsible for connecting enterprise data, modernizing business workflows, and delivering secure AI-enabled solutions. Working directly with the Business Development organization, IT, Security, data owners, and other business stakeholders, this role turns high-value business needs into reliable integrations, governed automations, and measurable process improvements.
The role combines enterprise integration, business process leadership, AI engineering, and security-by-design. The successful candidate will establish practical technical standards, lead discovery and prioritization, guide solutions from architecture through adoption, and remain hands-on in building APIs, connectors, data pipelines, automations, copilots, and intelligent agents.
You Will Be Accountable For:Enterprise Data Connections and Integration- Lead the strategy, architecture, delivery, and operational health of connections among business applications, data platforms, AI services, and external systems.
- Design and implement secure integrations using APIs, enterprise connectors, webhooks, event-based patterns, file exchanges, data pipelines, and other appropriate methods.
- Define source-to-target mappings, transformation rules, data contracts, validation controls, and error-handling standards that keep connected data accurate, complete, traceable, and recoverable.
- Partner with system owners and data stewards to clarify ownership, authoritative sources, master and reference data, retention needs, and permitted uses of information.
- Establish reusable integration patterns and technical standards for authentication, authorization, secrets, service accounts, versioning, logging, monitoring, retries, reconciliation, and support.
Process Leadership and Automation- Lead structured discoveries with business stakeholders to document current-state processes, identify control gaps and bottlenecks, and design practical future-state workflows.
- Facilitate decisions across business, IT, Security, Legal, Compliance, and data-owner groups; make responsibilities, tradeoffs, approvals, and escalation paths explicit.
- Lead initiatives from intake and requirements through design, testing, change management, deployment, training, operational handoff, and benefits realization.
- Develop process, documentation, and solution standards that enable repeatable delivery across teams while reducing one-off tools and unmanaged workflows.
Security Governance and Responsible AI- Evaluate integration risks and dependencies, including data sensitivity, interface limits, vendor constraints, environment boundaries, and downstream business impact.
- Embed security and privacy requirements throughout solution design, including data classification, least-privilege access, segregation of duties, encryption, secure credential handling, and appropriate retention.
- Perform solution-level risk assessments and threat modeling; document data exposure, trust boundaries, failure modes, control requirements, and residual risk before production release.
- Establish governance for AI solutions, including approved data use, grounding sources, human oversight, output validation, model and prompt change control, and monitoring for quality and misuse.
- Ensure solutions comply with company policies, contractual obligations, export-control requirements, and applicable regulatory or customer requirements.
AI and Intelligent Automation- Identify and deliver use cases where AI, intelligent agents, and automation improve productivity, accuracy, responsiveness, or decision-making.
- Architect, prototype, build, test, deploy, and support AI-enabled solutions using Microsoft Copilot Studio, Azure AI, OpenAI, Power Platform, and other approved enterprise technologies.
- Integrate AI solutions with governed enterprise data and applications while maintaining clear permissions, provenance, logging, and human review.
- Evaluate emerging technologies and recommend adoption only when the business case, security posture, support model, and operational readiness are clear.
- Measure deployed solutions for accuracy, performance, adoption, cost, control effectiveness, and business impact; improve or retire them based on evidence.
Data and Analytics- Develop or enhance governed dashboards, reports, and analytical tools using Power BI, Excel, SQL, or similar technologies.
- Define and validate metrics, data lineage, reconciliation rules, and quality checks so decision-makers can trust reported information.
- Support data preparation and retrieval patterns for AI, automation, reporting, and operational decision-making.
Microsoft GCC High Environment- Architect, develop, and support solutions within Microsoft GCC High and approved connected environments.
- Confirm that services, connectors, data locations, and deployment patterns are authorized for the intended data and use case before implementation.
- Partner with IT and Security on environment architecture, identity, tenant configuration, data-loss prevention, audit logging, monitoring, and troubleshooting.
- Maintain production-ready documentation for architectures, integrations, data flows, controls, operating procedures, recovery steps, and technical decisions.
QualificationsU.S. Citizenship Required: Due to government contract and facility security requirements, this position is limited to U.S. citizens. Candidates requiring employment authorization through an EAD, visa, or other non-citizen work authorization are not eligible for consideration.- Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, Data Science, Software Engineering, Cybersecurity, Business Analytics, Information Technology, or a related field.
- Able to be onsite at our Plano or Kilgore, TX locations up to one week/month.
- 3-5 or more years of progressive experience delivering enterprise integrations, automation, business systems, data solutions, AI applications, or related technology initiatives.
- Demonstrated experience leading complex cross-functional process or technology initiatives from discovery through production support and measurable adoption.
- Hands-on experience integrating enterprise systems and data using REST or other APIs, connectors, webhooks, JSON, SQL, data pipelines, or event-driven patterns.
- Experience defining integration architecture, data mappings, error handling, reconciliation, monitoring, and operational-support models.
- Hands-on experience building or implementing AI-enabled solutions using generative AI, large language models, intelligent agents, retrieval-augmented generation, or AI automation platforms.
- Experience with Microsoft technologies such as Copilot Studio, Azure AI, Azure OpenAI, Power Automate, Power Apps, SharePoint, Power BI, or Microsoft 365.
Preferred Experience- Professional experience designing or supporting solutions within Microsoft GCC High.
- Experience integrating CRM, ERP, collaboration, document-management, data-platform, and analytics systems.
- Experience with API management, integration platforms, ETL or ELT tooling, data gateways, message queues, or enterprise middleware.
- Experience with Python, C#, JavaScript, PowerShell, or another language used to build and support integrations and automation.
- Experience with MCP (Model Context Protocol), function calling, agent tool design, or enterprise AI connectors.
- Familiarity with secure development practices, threat modeling, vulnerability management, audit evidence, incident response, and recognized security or compliance frameworks.
