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
AI/Automation Engineer employer: Cognizant Technology Solutions Corporation
Cognizant is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Manager in Intelligent Process Automation, you'll engage in high-profile transformation programmes while benefiting from a culture that prioritises consulting excellence and continuous learning. With clear career progression pathways, competitive compensation, and flexible hybrid working arrangements, Cognizant empowers its employees to grow and succeed in their careers.
Contact Details:
Cognizant Technology Solutions Corporation Recruitment Team
