Jobs at CreateFuture

Lead technical direction for an AI platform connecting workloads to multiple LLM providers. Build API gateway and routing infrastructure, agent orchestration, capability lifecycle tooling, access controls, API key management, caching, cost and latency optimization, adoption analytics, and trust, safety, and governance controls. Define API standards and promotion workflows while supporting auditable, scalable AI services across client engagements.

Manage workforce allocation across consulting, engineering, product, design, delivery, data, and AI teams. Match employee skills and availability to client demand, optimize utilization, manage capacity and staffing risks, coordinate hiring needs, resolve resource conflicts, support revenue forecasting, monitor project margins, and provide workforce analytics and recommendations to leadership.

Lead and grow a team of Product Managers, shape product strategy and delivery for enterprise clients, drive discovery and AI-enabled product value, mentor and embed product management best practices, support resourcing and client relationships across digital transformation engagements.

Design, build and maintain scalable, secure backend systems using Java and the Spring ecosystem. Lead architecture and API design, ensure quality through testing and observability, mentor engineers, drive delivery across initiatives, evaluate emerging technologies and AI capabilities, and collaborate with cross-functional teams to deliver client value.

The Principal Engineer leads project teams, manages client relationships, and sets technical standards. They mentor engineers, drive skill development, and identify new sales opportunities while fostering a collaborative culture.

Lead CMS and web platform modernisation efforts, prototype AI/agentic POCs, and support the Principal Engineer to shape technical direction. Investigate where AI adds value, refocus the CMS team on higher-value marketing work, improve scalability and management, and collaborate with stakeholders to define pragmatic technical approaches and roadmap.

Lead design and delivery of scalable, accessible Vue 3 + TypeScript frontends. Drive architecture, component libraries, testing, performance optimisation, CI/CD, cloud deployment and observability. Mentor engineers, influence technical direction, evaluate emerging technologies (including AI), and ensure high-quality, maintainable solutions for clients.

Lead full-stack development using Java/Spring and Vue/TypeScript. Design and guide scalable microservice and plugin-based platform architecture. Provide technical leadership on architecture, code quality and delivery. Apply lottery/gaming domain knowledge and design for regulated iGaming requirements such as KYC/AML, wallets, settlement and RNG where relevant.

As a Sales Lead for iGaming, you will drive business growth in the betting and gaming sector by identifying opportunities, fostering relationships, and closing deals with senior stakeholders.

Own and grow strategic client accounts by identifying and converting new opportunities, driving end-to-end commercial outcomes, leading teams in consultative selling, shaping bids and thought leadership, ensuring forecasting and operational excellence, and positioning CreateFuture as a trusted partner across digital, data, and AI transformation.

Senior AWS consulting leader advising enterprise clients on cloud, data and AI strategy. Lead discovery workshops, shape large-scale transformation programmes, design cloud-native roadmaps, support pre-sales, mentor architects, represent the firm externally, and ensure strategic intent translates into delivery.

Deliver and migrate production ML data pipelines from Databricks to an AWS SageMaker MLOps platform. Build feature engineering pipelines and feature store integrations, ensure parity/testing with Databricks outputs, manage storage/permissions/IAM, deploy via CI/CD and IaC, document runbooks, and collaborate with engineering, AWS ProServe, and client teams in a regulated iGaming environment.

Design, build, and operate production-grade agentic AI systems on Amazon Bedrock. Implement multi-agent orchestration, MCP servers, RAG pipelines, vector stores, and integrations. Use AWS serverless (Lambda, DynamoDB, S3), instrument observability (CloudWatch/tracing), and collaborate with client teams to deliver scalable AI agent solutions.

Design, build, operate, and improve cloud-native Kubernetes platforms. Maintain cluster health, GitOps, IaC (Terraform), CI/CD, observability, incident response, cost and performance optimisation. Partner with engineering teams, support deployments, reduce technical debt, and for Lead roles own roadmap, mentor engineers, and manage stakeholder priorities.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.