AI/Automation Engineer

Cognizant; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Cognizant in London is seeking an experienced professional to deliver AI-enabled automation solutions end-to-end, from design in architectural specs through production operation.

You will build and deploy AI agents, integrate automation layers with enterprise systems via APIs, and own the full delivery lifecycle from development to production support, including monitoring and incident response.

Qualifications

• Hands-on experience building automations or agents, with AI/LLM development.
• Strong API/integration skills including REST, webhooks, and event streaming.
• Cloud experience across Azure/AWS/GCP with basic infrastructure-as-code.

Responsibilities

• Build and deploy AI agents and LLM-based automations per architecture designs.
• Integrate automation layers with enterprise systems via APIs and events.
• Own the full delivery lifecycle from development to production support.
• Set up deployment pipelines (CI/CD) for AI services and automations on cloud platforms.
• Troubleshoot production issues and monitor for failures, collaborating with the Architect.

Skills

AI/LLM development

API integration

Cloud platforms

CI/CD

Monitoring/Observability

Distributed systems debugging

Version control

Architectural translation

Job description

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