AI Solutions Technical Engineering Manager

Location: London, United Kingdom; Stockholm, Sweden

Company

hirify.global is a European betting and gaming operator with more than 5,000 employees and a presence in around fifteen regulated markets.

What you will do

• Lead multidisciplinary AI/ML, data, software, and platform engineering teams delivering trusted, adopted, production-grade AI capabilities.
• Own technical direction for the text-to-SQL platform and provide technical leadership for agent and MCP initiatives, including tool-use design, orchestration, and integrations.
• Review designs and code, prototype where useful, and make decisions on deployment, routing, evaluation, monitoring, model lifecycle, and multi-provider architectures.
• Lead end-to-end delivery of AI workloads and AI-enabled products from discovery through build, launch, iteration, and measurable business outcomes.
• Convert ambiguous ideas into delivery plans, milestones, ownership models, and measurable outcomes across federated domain teams.
• Coach engineers, provide feedback, align senior stakeholders, and guide technical trade-offs under tight timelines.

Requirements

• Proven experience leading engineering delivery for data-heavy, AI-enabled, or platform products.
• Strong understanding of modern AI concepts, including ML systems, LLMs, data dependencies, evaluation, and operational risks.
• Hands-on experience building and shipping AI/ML systems, with the ability to read and write code and participate in design reviews.
• Deep experience with LLM systems, including RAG, agentic architectures, tool use, evaluation, guardrails, and model lifecycle.
• Practical experience with multi-model or multi-provider setups, routing, fallback strategies, and cost/latency trade-offs.
• Practical experience with MCP-based integrations and agent orchestration, including judgment about when an agentic approach is unnecessary.
• Working understanding of fine-tuning versus prompting and retrieval-based approaches, supported by evaluation data.
• Experience leading a small senior team while remaining highly technically credible.
• Experience making architecture decisions in ambiguous environments and defending them on technical merit.
• Solid production engineering fundamentals across cloud, reliability, security, monitoring, CI/CD, and observability.
• Track record managing complex deliveries across multiple teams and stakeholders in federated or domain-oriented environments.
• Excellent communication skills for aligning senior stakeholders and guiding teams through ambiguity.
• Technical environment includes AWS, Azure, or GCP; model deployment; MLOps/LLMOps; Kubernetes; CI/CD; GitOps concepts; metrics, logs, tracing, dashboards, alerting; APIs; microservices; event-driven systems; and data pipelines.

Nice to have

• Delivery experience in regulated or high-stakes environments, including financial services or gambling and gaming compliance.
• Working knowledge of AI governance and the direction of regulation such as the EU AI Act.
• Experience with Bedrock or similar enterprise LLM platforms, including cost and access controls across teams and tenants.
• Experience with access-control-sensitive text-to-SQL or similar natural-language-to-structured-query systems.
• Visible engagement with the AI community through talks, writing, or open source.

Culture & Benefits

• Permanent employment in the OBG Technology category.
• Learning and development opportunities.
• Social events, activities, and inclusion networks.
• Employee Assistance Programme and private medical insurance.
• Long-service awards and pension.
• Inclusive hiring focused on skills, experience, potential, and merit.