Head of AI Platform & Applied Intelligence

Salary: Dependent on Experience

Location: Flexible:
Reigate or Manchester area

Job type: Full time

Working Pattern: 2 days per week onsite |4.5 day working week (Half day Fridays)

We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows.

This is an opportunity to join us at a pivotal stage. You’ll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes.

We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration.

We are entering our next growth phase - investing in AI-powered platform scalability, operational excellence and maturity, and cost-efficient growth to support our long-term strategy and enterprise ambitions.

• Own the design, build, and evolution of Infinity’s AI platform - the infrastructure layer that underpins AI-driven product capability and AI-assisted engineering delivery

• Define and govern the model pipeline architecture: data ingestion, feature engineering, training, validation, deployment, and monitoring at production scale

• Establish model abstraction and vendor flexibility across the stack - ensuring Infinity can move between cloud-managed services (AWS Bedrock, Agent Core) and open source or locally-hosted alternatives without brittle dependency on any single provider

• Lead the evaluation and selection of AI tooling, frameworks, and services - making principled, cost‑conscious decisions grounded in practical experience rather than vendor positioning

• Establish AI telemetry and runtime observability - latency, cost, accuracy drift, and performance monitoring - so the platform is instrumented from the outset

• Drive the applied use of AI across Infinity’s product surface: agent‑driven features, NLP capabilities, conversational intelligence, and AI‑powered activation workflows

• Work closely with engineering squads and the Head of Engineering to embed AI into the delivery process itself - agentic coding practices, AI-assisted code review, automated testing and evaluation - accelerating the compound engineering model

• Define the standards and patterns for how AI behaviours are built, tested, and shipped - establishing guardrails, evaluation checkpoints, and governance that make AI product development reliable and auditable

• Translate product ambition into AI architecture decisions – ensuring Smart Voice, Smart Outcomes Pro, and future activation capabilities are built on a platform that can sustain and scale them

• Establish formal model governance at Infinity – validation frameworks, explainability standards, bias and safety evaluation, and documentation practices that meet the expectations of enterprise customers and compliance requirements

• Own the evaluation pipeline for AI features: defining what good looks like, building the tooling to measure it, and ensuring teams can iterate on AI behaviours with confidence

• Partner with Security, Compliance & Assurance on AI governance obligations, including emerging requirements under ISO 27001/42001, NIS2, and future SOC 2 scope – ensuring AI platform practices meet and anticipate regulatory expectations

• Make model selection and build‑vs‑buy decisions based on evidence: performance benchmarks, cost‑to‑serve, explainability requirements, and long‑term maintainability

• Assess the current AI capability honestly and define the team needed to deliver Infinity’s AI ambitions – identifying where to hire, where to develop existing talent, and how to sequence investment for maximum impact

• Lead, develop, and retain the existing team – the Data Scientist and Data Engineers – providing the technical…