24 oct
|
Scc España
|
Madrid
Specialist Computer Centres, S.L., an English multinational company with a strong presence across Europe, dedicated to the development of projects, deployments, and implementation of IT services, is seeking an AI Automation & Integration Specialist
Main Mission
The AI Automation & Integration Specialist designs, develops, tests, deploys, secures and operates production-grade automations and integrations that connect business processes, enterprise applications, cloud services, data platforms and AI capabilities. The role is a hands-on senior engineering position within SCC Spain’s AI delivery capability, translating solution architectures and business requirements into resilient APIs, event-driven services, automated workflows and reusable integration components across Microsoft Azure and AWS. A core objective is to convert manual, fragmented or repetitive activities into secure, observable and reusable automated processes that deliver measurable operational outcomes. The role ensures that AI-enabled applications and automations are not isolated proofs of concept, but supportable production services that integrate reliably with customer processes and systems.
Key Responsibilities
- Maintain automation assets throughout their lifecycle, including versioning, testing, deployment, monitoring, incident resolution and continuous optimisation.
- Refactor proofs of concept and low-code workflows into governed, observable and supportable production services when scale, criticality or complexity requires it.
- Measure automation outcomes including transaction completion, processing time, failure rate, manual effort avoided, rework and operational cost.
- Define exception paths, audit trails,
manual recovery procedures and operational controls for business-critical automations.
- Combine deterministic workflow logic with AI capabilities such as classification, extraction, summarisation, routing, decision support and agent tool execution.
- Automate interactions with Microsoft 365 and enterprise platforms using Microsoft Graph, APIs, webhooks, events, queues and secure workload identities.
- Build reusable connectors, custom connectors, workflow templates, automation libraries and common services that reduce delivery time across customer projects.
- Implement scheduled, event-triggered, short-running, long-running and human-in-the-loop workflows, including state management, approvals, timeouts, escalation, compensation and recovery logic.
- Design, develop, test, deploy and operate end-to-end automations using Azure Functions, AWS Lambda, Logic Apps, Durable Functions, Step Functions, Power Automate and code-based orchestration where appropriate.
- Analyse business and operational processes to identify automation opportunities, define automation boundaries and translate requirements into maintainable technical workflows.
- Design and implement API-first, event-driven and asynchronous integration solutions using Azure Functions or AWS Lambda, Event Grid or EventBridge, Service Bus or SQS/SNS, and workflow orchestration services such as Logic Apps, Durable Functions or Step Functions.
- Build reusable automation components,
connectors and integration services using C#, Python, TypeScript or PowerShell, applying appropriate software engineering standards.
- Integrate enterprise systems, SaaS platforms, data services and AI endpoints through REST, GraphQL, webhooks, messaging and event streaming patterns.
- Modernise legacy point-to-point integrations into loosely coupled, scalable and maintainable cloud-native patterns.
- Assess and implement synchronous versus asynchronous patterns, delivery semantics, ordering, idempotency, deduplication, dead-letter handling and eventual consistency.
- Design, publish and govern APIs using Azure API Management and AWS API Gateway, including policies, authentication, authorisation, throttling, quotas, versioning, transformations, caching, lifecycle management and developer onboarding.
- Create and maintain API contracts and documentation using OpenAPI specifications, consistent error models and backward-compatible versioning practices.
- Integrate with Microsoft 365 services through Microsoft Graph, including appropriate permissions, consent models, webhook subscriptions, change notifications and throttling-aware implementations.
- Collaborate with architects to define reusable integration reference architectures, standards and guardrails for customer delivery teams.
Identity, Security & Secrets Management
- Implement workload identity and zero-trust patterns using Managed Identities, AWS IAM roles, OAuth 2.0 and OpenID Connect, avoiding embedded credentials wherever possible.
- Protect credentials, certificates, keys and connection details using Azure Key Vault or AWS Secrets Manager, including secure rotation and acc
📌 AI Automation (Madrid)
🏢 Scc España
📍 Madrid