Senior CXE Engineer - Amazon Connect

Position: Contract - Senior CXE Engineer - Amazon Connect
Location: Hillhead

3 x Contract Senior CXE Engineer
- Amazon Connect Day Rate
- DoE
- Contract Length
- Initial 6 months
- Rolling extensions UK Remote based
- Some travel for essential meetings | Candidates must be eligible to work and reside in the UK About the Role You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, developing React-based agent and admin tooling, and debugging production issues on systems that serve tens of thousands of agents and millions of customer interactions.

You work within architectures set by practice leads, and youre expected to pressure-test them, propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI development on Bedrock and Claude, and full-stack serverless work, with regular direct interaction with customer engineering teams. Responsibilities Your Assignment AI Agent & Conversational AI Development Build AI-native self-service using Amazon Connect AI agents, Amazon Q in Connect, and Amazon Bedrock (Claude model family), implementing multi-agent orchestration patterns, orchestrator agents delegating to task-specific agents with escalation paths to human queues Engineer prompts and tool-calling integrations at production scale:
Search Profiles lookups, case creation, external API tools, authentication flows, and guardrails against hallucination and verification loops Implement barge-in handling, fallback, and error-recovery behavior for voice AI, and validate it with turn-by-turn trace analysis Optimize inference cost and latency hands-on: model tier selection (Haiku vs. Sonnet vs. Opus), prompt caching, and token budgeting against containment-rate targets Diagnose AI agent performance using observability tooling (agent spans, and Cloud Watch) that correlates contact flow logs, conversation transcripts, AI agent spans, tool executions, and token usage to isolate latency, cost, and quality issues Build conversational experiences where intent-based NLU is the right fit, including multilingual support and SSML-tuned voice interactions Amazon Connect Platform Engineering Build contact flows that integrate AI agents, Lambda-backed business logic, Customer Profiles, and dynamic data-driven routing Implement Amazon Connect Cases and Tasks solutions: case templates, queue-based work allocation, SLA/TAT monitoring, approval workflows, and migrations from legacy case systems (e.g., consolidating hundreds of service categories and thousands of business rules into a unified Cases model) Configure and operationalize Contact Lens for real-time sentiment, post-contact summaries, category rules, and quality management Implement proficiency-based and attribute-driven routing, outbound campaigns (including answering machine detection and compliance controls), and workforce management (WFM) integrations for forecasting, scheduling, and adherence (FCS) Build out the Amazon Connect analytics data lake (Glue, Lake Formation, Athena) and Quick Sight dashboards for real-time operations and executive reporting Support legacy platform migrations (Avaya, Genesys, Cisco, Oracle, Salesforce): flow conversion, data migration, parallel-run validation, and production cutover on live contact centers Full-Stack & Portal Engineering Build custom Agent Workspace experiences with the Amazon Connect Streams API, third-party app embedding, and CRM screen-pop integrations (Salesforce, Service Now, Oracle, custom systems) Build serverless, event-driven backends with Lambda, Event Bridge, Step Functions, SQS/SNS, DynamoDB, and Kinesis for real-time event processing and customer journey orchestration Treat accessibility as a first-class requirement: WCAG 2.1 AA compliant components, automated axe-core/Playwright accessibility scanning, and support for VPAT/Section 508 documentation on government and enterprise engagements Infrastructure, Delivery & Quality Author infrastructure as code with AWS CDK (Type Script) as the primary tool and Cloud Formation or Terraform where customer environments require them Build and maintain CI/CD pipelines (Git Hub Actions) and automated test suites:
Jest/Vitest unit tests, Playwright E2E and API tests, and integration tests against live Connect instances Follow phased rollout patterns for production contact centers where downtime is measured in missed calls; write the runbooks…