AI Strategist / Decisioning Expert - AWS and GCP London based Experience: Snr Role (10+ years) 2 days Hybrid Working (onsite) / 3 days Remote Working Day Rate: Highly negotiable (Top Rates) My client, an innovative accelerator company specializing in digital transformation, working with a diverse range of clients is looking for a strong AI Strategist / Decisioning Expert with 10+ years proven industry experience. The company mission is to drive growth and success for businesses through cutting-edge technology solutions. As they continue to expand, they are seeking an AI Strategist / Decisioning expert to join their dynamic team. Business • Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem. • Advise on which KPIs to prioritise to improve the business outcomes of the NBA ecosystem. • Mastery in data analytics and visualisation to extract the relevant signals and pattern for better decision-making and prioritisation for faster time-to-market offers. • Must be able to work alongside Commercial teams (e.g. base management, pricing) and Product Tribes (e.g. Home, Mobile, TV). • Proactively streamline requirement processes and influence the refinement of business activities themselves, beyond execution. • Operate as embedded partner within agile squads and tribes for continuous commercial value delivery. • Must be capable of challenging the business and drive best practices for better business outcomes. Tech • Kotlin: Primary programming language for core NBA applications • PostgreSQL (GCP & AWS RDS): For application configuration and schema management • DynamoDB (AWS): NoSQL data store for high-throughput eligibility and state data • Commercial NBA App(containerised microservice in ECS/GKE): Hosts decisioning logic • NBA Orchestrator: Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems • Machine Learning Models via Vertex AI (GCP) • AWS Glue + Lambda + Step Functions: Batch ETL workflows • Kafka (Confluent Cloud): Real-time feature streams ingestion • Kinesis Streams + Firehose: Traceability and telemetry routing • Cloud Storage (S3, GCP buckets): Configuration, logs, traceability data • Envoy Proxy + ALB + WAF: TLS termination, authentication, traffic routing • CloudWatch / Dynatrace: Observability and alerting • Terraform + GitLab CI/CD: Infrastructure as Code and deployment pipelines • Custom UI for simulations/experiments (planned to support with GenAI features in the future) for business configuration, testing, and release governance