Job Description
AI Strategist / Decisioning Expert - AWS and GCP
London based
Experience: Senior 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, is looking for a strong AI Strategist / Decisioning Expert with 10+ years of proven industry experience.
The company's mission is to drive growth and success for businesses through cutting-edge technology solutions. As they continue to expand, they seek an AI Strategist / Decisioning Expert to join their dynamic team.
Business Responsibilities:
* Translate commercial goals and product strategy into executable decision logic within the NBA ecosystem.
* Advise on KPI prioritization to improve business outcomes of the NBA ecosystem.
* Expertise in data analytics and visualization to extract relevant signals and patterns for better decision-making and faster time-to-market offers.
* Collaborate with Commercial teams (e.g., base management, pricing) and Product Tribes (e.g., Home, Mobile, TV).
* Streamline requirement processes and influence refinement of business activities beyond execution.
* Operate as an embedded partner within agile squads and tribes for continuous value delivery.
* Challenge the business and promote best practices for improved outcomes.
Technical Requirements:
* 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: Containerized microservice in ECS/GKE hosting decision 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.
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