AI Strategist / Decisioning Expert - AWS and GCP (Day Rate Highly Negotiable - Top Rates) Hybrid...

ZipRecruiter; Bury; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company specializing in digital transformation is looking for an AI Strategist / Decisioning Expert with over 10 years of experience. The successful candidate will drive decision logic implementation within a collaborative and agile environment, utilizing advanced technologies on AWS and GCP.

Qualifications

• 10+ years of proven industry experience in AI.
• Expertise in data analytics and visualization.
• Experience with Kotlin is essential.

Responsibilities

• Translate commercial goals into executable decision logic.
• Advise on KPI prioritization to improve business outcomes.
• Collaborate with commercial and product teams for agile value delivery.

Skills

Data analytics

Data visualization

Agile methodologies

Decision logic

Tools

Kotlin

PostgreSQL

DynamoDB

AWS Glue

Terraform

Job description

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.