Agentic AI Engineer

Integra Mission Critical, LLC.; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Healthcare coverage

Life and disability insurance

Flexible benefits

Generous PTO

Tuition assistance

Retirement plan

Job summary

Integra Mission Critical, LLC. is seeking an Agentic AI Engineer to design and deploy AI-powered agents and enterprise automation across manufacturing, construction, finance, project controls, and operations.

This onsite role based in North Dallas/Plano requires turning opportunities into production ready AI agents. You will work with Data Engineering, DevSecOps, and Business teams to build scalable solutions using Microsoft Copilot, Azure AI, and enterprise platforms.

Qualifications

• 5 years of experience in software engineering AI engineering data engineering automation or enterprise application development
• 2 years of hands on experience building generative AI retrieval augmented generation copilots or agent based solutions
• Proven experience moving AI prototypes into secure monitored production grade enterprise solutions
• Strong Python or C development skills and experience integrating AI solutions with APIs enterprise data workflows and business applications
• Strong analytical process discovery facilitation documentation and stakeholder management capabilities

Responsibilities

• Design, build, deploy and maintain enterprise AI agents, copilots, conversational applications and intelligent workflow solutions
• Create single agent and multi-agent architectures using managed agent services, code-first frameworks and Microsoft Copilot technologies
• Implement agent planning tool use, function calling, memory context management, routing, delegation, reflection and human in the loop controls
• Design bounded autonomy, approval checkpoints, escalation paths, timeout behavior, rollback and compensation mechanisms
• Create reusable agent components, prompt libraries, tools, connectors, policies, templates and reference architectures

Skills

Python

C

AI engineering

Data engineering

Automation

Stakeholder management

Education

Bachelor's degree in Computer Science / Software Engineering / Data Science / AI / Information Systems or related field

Tools

REST APIs

Docker

CI/CD

Git

Azure OpenAI

OpenAI GPT

Semantic Kernel

Job description

Location North Dallas Plano 100 Onsite Department DEPADM The Opportunity The Agentic AI Engineer builds AI powered solutions that solve real operational problems and take action not simply answer questions or surface information Were looking for someone who can identify manual inefficient or difficult to scale processes across Manufacturing Construction Finance Project Controls and Operations and turn those opportunities into production ready AI agents You will design agents that can evaluate information recognize conditions or exceptions make informed decisions and initiate workflows or other actions across enterprise systems Working closely with business teams Data Engineering Integration DevSecOps Cybersecurity and Application Development this engineer will help automate work that traditional rules based automation cannot easily address The ideal candidate has 5 years of hands on experience building action oriented AI agents tied to real business processes rather than primarily chatbots or conversational AI and can clearly demonstrate the operational problems their solutions solved and the actions those agents performed This position is 100 onsite in the North Dallas Plano area

Agentic AI Solution Design and Engineering

• Design build deploy and maintain enterprise AI agents copilots conversational applications and intelligent workflow solutions
• Create single agent and multi agent architectures using managed agent services code first frameworks and Microsoft Copilot technologies
• Implement agent planning tool use function calling memory context management routing delegation reflection and human in the loop controls
• Design bounded autonomy approval checkpoints escalation paths timeout behavior rollback and compensation mechanisms
• Create reusable agent components prompt libraries tools connectors policies templates and reference architectures Microsoft Azure AI Copilot and Multi Model Engineering
• Build solutions using Microsoft Foundry Foundry Agent Service Azure OpenAI Azure AI Search Azure AI Content Safety and related Azure AI capabilities
• Develop enterprise agents using Microsoft Copilot Studio and integrate them with Microsoft 365 Teams Power Platform and approved enterprise channels
• Use Microsoft Agent Framework Semantic Kernel or comparable orchestration frameworks for code first agent development
• Evaluate and route approved OpenAI GPT Anthropic Claude and Microsoft hosted models based on quality latency cost safety reliability data handling and task fit
• Implement model abstraction fallback retry timeout graceful degradation structured output function calling and governed model version management

Retrieval Augmented Generation and Enterprise Knowledge

• Design retrieval augmented generation solutions grounded in trusted enterprise data and documents
• Build indexing chunking metadata embedding hybrid search semantic search reranking citation and access filtering pipelines
• Integrate structured and unstructured knowledge from Microsoft Fabric data lakes databases SharePoint enterprise repositories APIs and SaaS systems
• Ensure responses are grounded traceable current permission aware and supported by relevant source references
• Collaborate with data owners and stewards to define authoritative sources business terminology metadata and knowledge quality standards

Business Process Discovery and Intelligent Automation

• Partner with business leaders and subject matter experts to identify repetitive work decision bottlenecks inefficiencies control gaps and high value automation opportunities
• Map current state and future state processes decisions exceptions roles data inputs systems business rules and expected outcomes
• Prioritize use cases based on business value feasibility risk data readiness adoption operating cost and measurable return
• Define when human review is required before an agent communicates externally changes a system of record commits funds or affects operations
• Create pilots validate outcomes measure benefits and transition successful solutions into governed production services

AI Tools Actions and Enterprise Integration

• Build secure tools and connectors that allow agents to interact with enterprise applications APIs workflows databases message platforms and approved automation services
• Integrate agents with Oracle Fusion ERP Deltek Costpoint Primavera P6 Procore Salesforce manufacturing systems Microsoft Fabric Power BI and other enterprise platforms as applicable
• Use Azure API Management Azure Functions Logic Apps Service Bus Event Grid and containerized services to expose governed agent actions
• Apply least privilege user delegated authorization transaction boundaries idempotency validation rate limits audit logging and business rule enforcement
• Prevent agents from bypassing system of record controls approval processes data entitlements or enterprise integration standards

Evaluation Responsible AI Security and Governance

• Define evaluation frameworks for groundedness relevance correctness completeness tool selection task completion consistency safety latency and cost
• Create representative evaluation datasets and automated regression tests for prompts models retrieval tools workflows and agent behavior
• Conduct red team testing for prompt injection data exfiltration unauthorized actions harmful outputs hallucinations and tool misuse
• Apply responsible AI privacy security compliance transparency accountability and human oversight principles throughout the solution lifecycle
• Implement content filtering access controls data loss prevention complete audit trails release gates canary rollouts and rollback capabilities

AI Operations Observability and Continuous Improvement

• Implement telemetry for prompts responses retrieved context tool calls workflow steps approvals errors token usage latency cost and user feedback
• Use Azure Monitor Application Insights Log Analytics and AI specific tracing and evaluation capabilities
• Monitor quality drift retrieval degradation model changes safety events tool failures adoption and realized business value
• Troubleshoot production AI solutions perform root cause analysis and implement permanent corrective actions
• Create dashboards alerts runbooks support procedures service level expectations incident processes and recovery plans

Collaboration and AI Enablement

• Collaborate with business and technology teams to define AI use cases acceptance criteria delivery roadmaps and measurable value
• Partner with Data Engineering Integration DevSecOps Cybersecurity Legal Compliance Risk Internal Audit and data governance stakeholders
• Communicate AI capabilities limitations risks and trade offs clearly to technical and nontechnical stakeholders
• Create reusable documentation demonstrations training materials patterns and standards that improve enterprise AI literacy
• Mentor engineers and contribute to an enterprise community of practice for applied and agentic AI

Required Qualifications

• Bachelors degree in Computer Science Software Engineering Data Science Artificial Intelligence Information Systems or a related discipline or equivalent professional experience
• 5 years of experience in software engineering AI engineering data engineering automation or enterprise application development
• 2 years of hands on experience building generative AI retrieval augmented generation copilots or agent based solutions
• Proven experience moving AI prototypes into secure monitored production grade enterprise solutions
• Strong Python or C development skills and experience integrating AI solutions with APIs enterprise data workflows and business applications
• Strong analytical process discovery facilitation documentation and stakeholder management capabilities

Required Technical Skills

• Microsoft Foundry Foundry Agent Service Azure OpenAI Microsoft Copilot Studio Azure AI Search and Azure AI Content Safety OpenAI GPT and Anthropic Claude models; agent orchestration using Microsoft Agent Framework Semantic Kernel or comparable frameworks Prompt engineering structured outputs function calling tool use context management memory multi agent patterns evaluation guardrails safety testing and production monitoring Retrieval augmented generation embeddings vector search semantic and hybrid retrieval reranking document ingestion indexing permissions filtering and citations Python andor CNET; REST APIs OpenAPI JSON asynchronous programming SQL NoSQL concepts caching Docker serverless architectures Git CICD and automated testing Microsoft Entra ID managed identities Azure Key Vault RBAC Azure Monitor Application Insights Log Analytics Microsoft Fabric and Power BI

Preferred Qualifications

• Experience integrating AI with ERP project controls construction management manufacturing CRM HCM procurement content and analytics platforms
• Practical knowledge of manufacturing supply chain construction project controls finance ERP workflow analysis and continuous improvement
• Experience with Oracle Fusion ERP Deltek Costpoint SAP S4HANA Microsoft Dynamics 365 Primavera P6 Procore Autodesk Construction Cloud Salesforce ServiceNow SharePoint Teams Azure Databricks or ADLS Gen2
• Ability to distinguish work that should be assisted automated escalated or retained under human control

How we support you

• Competitive pay with incentive opportunities that recognize your results and contributions
• Comprehensive healthcare Medical dental and vision coverage that supports you and your familys total well being
• Security and peace of mind Life and disability insurance programs that provide protection when it matters most
• Flexible benefits options A variety of voluntary benefits so you can personalize coverage to fit your needs
• Time to recharge Generous paid time off to relax travel and maintain a healthy work life balance
• Investing in your growth Education assistance and tuition support to help you build skills and advance your career
• Planning for the future Retirement and savings programs that help you achieve long term financial confidence

Equal Opportunity Statement Integra provides equal employment opportunities for all people No employee or applicant for employment will be discriminated against because of race creed origin marital status sexual orientation age otherwise qualified disabled or veteran status or any other characteristic protected by law If you are a qualified applicant who requires reasonable accommodation to complete a job application pre employment testing a job interview or to otherwise participate in the hiring process please contact talentacquisitionintegracom