AI/Automation Engineer

Cognizant; Greater London; Vor Ort; GBP 90.000 - 120.000; Vollzeit

Zusammenfassung

Cognizant is seeking an AI-enabled automation engineer to deliver end-to-end automation solutions. You will build AI agents, deploy them, and ensure production readiness with robust monitoring and CI/CD pipelines.

Collaborate with architects to translate designs into production-ready builds, integrate with enterprise systems, and maintain runbooks for operations. This role emphasizes cross-stack expertise across automation, integration, and AI disciplines.

Qualifikationen

• Hands-on development of automations/agents; RPA background helpful but must extend into AI/LLM-based build work.
• Practical experience with LLM APIs, agent frameworks, and integrating them into production systems, not just conceptual familiarity.
• Strong API/integration development skills, including REST, webhooks, and event streaming.
• Hands-on cloud platform experience across Azure/AWS/GCP, including deployment and basic infrastructure-as-code.
• Experience running production monitoring/observability for deployed services, including logging, alerting, and dashboards.
• Comfortable working across the stack rather than in a single specialism — automation, integration, and AI.
• Debugging and troubleshooting across distributed, cloud-hosted systems.
• Familiarity with version control, CI/CD pipelines, and standard software engineering practices.
• Ability to work from architectural designs and translate them into working, production-ready builds.

Aufgaben

• Build and deploy AI agents and LLM-based automations against architecture designs.
• Develop integrations between automation/agent layers and enterprise systems via APIs, webhooks, and event-driven patterns.
• Own the full delivery lifecycle for assigned components: development, testing, deployment, and production support.
• Implement and maintain deployment pipelines (CI/CD) for AI services and automations on cloud platforms.
• Set up and maintain monitoring/observability for deployed agents and automations, catching failures, drift, or performance degradation in production.
• Troubleshoot and resolve production issues across the automation/AI/integration stack, escalating to the Architect where design changes are needed.
• Collaborate closely with the Architect on design feasibility and technical constraints during solutioning.
• Collaborate with the Integration Architect on data/API dependencies feeding automations and agents.
• Document technical builds, configurations, and runbooks to support handover and ongoing operations.
• Contribute reusable components, templates, and patterns for future engagements.
• Support testing and validation of automation/agent outputs prior to production release.
• Participate in code/design reviews led by the Architect.

Kenntnisse

Hands-on development

API/integration development

Cloud platforms (Azure/AWS/GCP)

Monitoring/observability

Version control/CI-CD

Architectural design translation

Troubleshooting distributed systems

Tools

REST APIs

Webhooks

Event streaming

LLM APIs

Agent frameworks

IaC (infrastructure as code)

Jobbeschreibung

Deliver AI-enabled automation solutions end-to-end — from agent/automation build through integration and into production operation — against designs set by the Architect. Bridge the gap between architecture and delivery, owning hands-on build, deployment, and day-to-day production support of automation and AI components.

Roles and Responsibilities

• Build and deploy AI agents and LLM-based automations against architecture designs
• Develop integrations between automation/agent layers and enterprise systems via APIs, webhooks, and event-driven patterns
• Own the full delivery lifecycle for assigned components: development, testing, deployment, and production support
• Implement and maintain deployment pipelines (CI/CD) for AI services and automations on cloud platforms
• Set up and maintain monitoring/observability for deployed agents and automations, catching failures, drift, or performance degradation in production
• Troubleshoot and resolve production issues across the automation/AI/integration stack, escalating to the Architect where design changes are needed
• Collaborate closely with the Architect on design feasibility and technical constraints during solutioning
• Collaborate with the Integration Architect on data/API dependencies feeding automations and agents
• Document technical builds, configurations, and runbooks to support handover and ongoing operations
• Contribute reusable components, templates, and patterns for future engagements
• Support testing and validation of automation/agent outputs prior to production release
• Participate in code/design reviews led by the Architect

Required Skills/Experience

• Hands-on development experience building automations or agents; RPA background helpful but must extend into AI/LLM-based build work
• Practical experience with LLM APIs, agent frameworks, and integrating them into working production systems, not just conceptual familiarity
• Strong API/integration development skills, including REST, webhooks, and event streaming
• Hands-on cloud platform experience across Azure/AWS/GCP, including deployment and basic infrastructure-as-code
• Experience running production monitoring/observability for deployed services, including logging, alerting, and dashboards
• Comfortable working across the stack rather than in a single specialism — automation, integration, and AI, not just one
• Debugging and troubleshooting skills across distributed, cloud-hosted systems
• Familiarity with version control, CI/CD pipelines, and standard software engineering practices
• Ability to work from architectural designs and translate them into working, production-ready builds