Head of AI Platform & Applied Intelligence in Manchester

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)

About Infinity

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.

The Role

• AI Platform Architecture & Engineering

• 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 leadership, clarity of direction, and growth environment they currently lack.
• Partner with the People Team Engineering Business Partner and the Head of Engineering on role definitions, career frameworks, and the introduction of new AI engineering roles as the function matures.
• Raise AI literacy and practice across the broader P&E organisation - equipping engineering squads to work with AI platform capability confidently and effectively.

• Work closely with P&E peers - particularly the Head of Engineering - to ensure AI platform capability and engineering architecture develop in alignment, not in parallel.
• Partner with Product to ensure AI features are technically feasible, appropriately governed, and built on platform foundations that can support them at scale.
• Engage with the CTO and exec team on AI strategy, platform investment decisions, and the roadmap for AI capability growth at Infinity.
• Represent Infinity’s AI platform credibly in enterprise customer and partner conversations - particularly where AI capability, data handling, and compliance posture are evaluated as part of procurement.

About You

• Essential

• Solid working knowledge of ISO 27001 - ideally including hands‑on experience maintaining an ISMS, preparing for certification audits, and managing the continual improvement cycle.
• Practical understanding of PCI‑DSS and GDPR as they apply in a B2B SaaS context - not just conceptual familiarity but experience translating obligations into controls and evidence.
• A detail‑oriented, ownership‑driven approach - this role requires someone who takes personal responsibility for accuracy, completeness, and follow‑through, without needing to be managed into it.
• Strong written communication skills - the ability to produce clear, well‑structured policies, reports, and InfoSec responses that serve different audiences effectively.
• The organisational capability to maintain multiple workstreams simultaneously - audit cycles, client requests, remediation tracking, policy maintenance - without losing grip on any of them.
• Comfortable working as an individual contributor with broad organisational reach - influencing without authority and building credibility through knowledge and consistency.

• Experience responding to enterprise InfoSec questionnaires and supporting security due diligence processes in a commercial context.
• Familiarity with continuous penetration testing approaches and programmes - coordinating testing cycles, interpreting findings, and managing remediation through to evidence.
• Working knowledge of NIS2 and SOC 2 - understanding of what they require and what preparation looks like, even without direct certification experience.
• Exposure to AI governance frameworks, including ISO/IEC 42001, or an active interest in developing that knowledge as Infinity’s AI capability grows.
• Experience working within a cloud‑native environment - understanding how AWS infrastructure, serverless architecture, and SaaS delivery models interact with security and compliance obligations.
• Relevant professional qualifications - CISSP, CISM, ISO 27001 Lead Auditor or Implementer, or equivalent.

Benefits you can enjoy

• 4.5 day working week (Half day every Friday - 1pm finish)
• 25 days holiday (with the option to buy up to an additional 5 days per year)
• Private single medical insurance
• Employee Assistance Programme
• Life Assurance (4x Salary)
• Enhanced Maternity and Paternity Pay
• Tech Scheme Loan (of up to £2,000 per year)
• Ride to Work Scheme
• Season Ticket Loan
• Dedicated annual company and team social budget

We are an equal opportunities employer. That means we’ll never discriminate based on race, religion, origin, gender expression, sexual orientation, age, marital status, social economics status or disability status. In fact, our recruitment process is completely anonymised, and we don’t see any of your personal details when we review your application.