Artificial Intelligence DeveloperEstuate Software • New York, New York, United States
Artificial Intelligence Developer
Estuate Software
- New York, New York, United States
- New York, New York, United States
À propos
The ideal candidate will design and develop AI-powered workflows that integrate with Halo Service Desk to automate ticket analysis, generate technical runbooks, recommend remediation steps, and streamline support operations using Azure-native services and modern AI/LLM technologies.
This role requires hands-on experience in Azure cloud services, Python development, APIs, automation workflows, RAG architectures, and ITSM integrations.
Key Responsibilities AI & Generative AI Development
Design and develop AI-powered solutions for ticket analysis and automated runbook generation.
Build NLP/LLM-based workflows to classify incidents, summarize issues, identify root causes, and suggest remediation actions.
Implement RAG (Retrieval-Augmented Generation) solutions using historical tickets, KB articles, SOPs, and operational documents.
Fine-tune prompts, AI workflows, and retrieval pipelines for improved accuracy and consistency.
Develop AI copilots/chat assistants for service desk and infrastructure teams.
Azure Automation Engineering
Build automation solutions using Azure-native services such as:
Azure Functions
Logic Apps
Azure Automation
Azure App Services
Azure Kubernetes Service (AKS)
Azure API Management
Event Grid / Service Bus
Develop event-driven workflows triggered by ticket creation, escalation, or updates.
Create automated runbooks for incident resolution, user provisioning, monitoring, patching, and operational tasks.
Halo Service Desk / ITSM Integration
Integrate Halo Service Desk APIs with Azure services and AI workflows.
Automate ticket enrichment, triage, assignment, routing, and closure workflows.
Extract and process ticket metadata, comments, attachments, and resolution notes.
Sync generated runbooks and knowledge articles back into ITSM platforms.
Data Engineering & Knowledge Management
Build data pipelines for ticket history ingestion and operational documentation processing.
Maintain vector databases and semantic search indexes for AI retrieval systems.
Improve AI-generated outputs using feedback loops and resolved ticket outcomes.
Ensure documentation and workflows are version-controlled and auditable.
Security & Governance
Implement secure authentication using Azure AD / Entra ID, Managed Identity, Key Vault, and RBAC.
Apply monitoring, logging, and observability using Azure Monitor and Application Insights.
Ensure compliance with security, governance, and data protection standards.
Collaboration & Delivery
Work closely with Service Desk, Infrastructure, DevOps, Security, and Business teams.
Convert operational pain points into scalable automation opportunities.
Participate in Agile ceremonies including sprint planning, demos, and retrospectives.
Prepare technical documentation, architecture diagrams, and support handover materials.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Engineering, IT, or a related field.
4+ years of software development experience.
4+ years of hands-on experience with Microsoft Azure services.
Strong programming skills in:
Python
C# /.NET
JavaScript / TypeScript
PowerShell
Experience with REST APIs, JSON, OAuth, webhooks, and system integrations.
Experience building automation workflows and API-driven applications.
Good understanding of ITSM processes such as:
Incident Management
Change Management
Problem Management
Request Management
Experience with Git, CI/CD pipelines, and DevOps practices.
Preferred Skills
Experience with:
Azure OpenAI Service
OpenAI APIs
LangChain
Semantic Kernel
AutoGen
RAG architectures
Experience with:
Azure AI Search
Cosmos DB
SQL Database
Vector Databases
Experience integrating with:
Halo Service Desk
ServiceNow
Jira Service Management
Freshservice
Zendesk
Knowledge of infrastructure automation tools such as:
Terraform
Bicep
ARM Templates
Familiarity with monitoring and IT operations tools.
Nice to Have
Azure AI Engineer Certification
Experience in enterprise automation or IT operations environments
Exposure to LLMOps / MLOps concepts
Experience with Docker / Kubernetes
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Compétences linguistiques
- English
Avis aux utilisateurs
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