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.
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
Applied Intelligence - Product & Delivery
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
Model Governance, Evaluation & Explainability
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
Team Building & Capability Development
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
Cross-Functional Partnership & AI Enablement
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
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
Highly Desirable
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
At infinity, our aim is to be the best call tracking provider in the world and to do that we welcome our employees with open arms and create an environment where you can bring your best self, every day! We're 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.
At Infinity, we don't treat our hiring process as a box ticking exercise and we're just as interested in team fit as we are technical fit. So, even if you don't meet all the requirements listed in one of our vacancies, get in touch with us anyway because we'd love to hear from you
