Artificial Intelligence

• Lead AI solution deployments across a broad range of clients.
• Own the end-to-end client engagement for AI deployments.
• Lead and manage the cross-functional deployment team responsible for the delivery of AI solutions.
• Provide strategic guidance to clients on best practices for deployment.
• Oversee the deployment lifecycle from initial sale through successful deployment.

AI Engagement Lead, CPG/FMCG

• Responsible for designing and leading the delivery of enterprise AI solutions built on Microsoft's AI platform.
• Work closely with customers, consultants, developers, project managers and Microsoft.
• Define solution architectures that enable organisations to adopt AI securely, responsibly and at scale.
• Act as a trusted advisor to customers and provide technical leadership within CPS.
• Help shape AI strategy, propositions, delivery standards and reusable solution accelerators.
• Provide architectural leadership across the full project lifecycle, from pre-sales and discovery through to solution design, governance, implementation and production deployment.

AI Solutions Architect

• Play a key role in helping organisations adopt and realise value from Microsoft's AI technologies.
• Facilitate workshops, identify opportunities for AI-driven transformation, and design and deliver solutions using Microsoft Copilot, Copilot Studio, Power Platform and related technologies.
• Work across the full project lifecycle, from discovery and business process mapping through to solution build, testing, deployment and user adoption.
• Work on some of the most innovative AI projects in the Microsoft ecosystem while developing deep expertise in emerging technologies such as Copilot Studio, Microsoft Fabric, Azure AI and Agentic AI.

AI Consultant

• Own 1–2 series at a time (10–15 episodes per series, ~1 min per episode + a trailer)
• Work with our in-house AI copilot for character consistency, casting, and trailer generation
• Direct, edit, and finish each episode yourself
• We will teach you AI Content creation
• Collaborate with our team of AI Content Creators, tech team, and other Short Film Directors

Senior AI Vertical Mini-Series Director – Freelance

• Supporting apprentices on their learning journey through AI Microsoft 365 programme.
• Helping staff throughout their apprenticeship to achieve their goals in digital transformation.
• Optimizing the use of AI and Microsoft application licences within workplaces.
• Delivering engaging online training sessions.

Digital Coach/Trainer – AI, Microsoft

• Take a leading role in the delivery of change initiatives across COO and CCO functions, coordinating and maintaining alignment with business priorities, driving activities through to successful completion.
• Ability to translate objectives into deliverable project plans, taking a thorough approach to the planning, ensuring initiatives are well structured, sequenced, and delivered to a high standard.
• Manage & monitor delivery across multiple initiatives. Identifying, assessing and managing risks and dependencies, and contribute to clear and timely reporting to support decision-making.
• Build and maintain trusted & valued cross business relationships, fostering collaboration across workstreams, and ensure cross-functional alignment.
• Support the business on implementation of change, contributing to a smooth transition and operational effectiveness.

Strategic Change Manager, AI

• Design the end to end journey of a service to enable a user to complete their goals.
• Creation of design assets to drive business outcomes, including service blueprinting, customer journey mapping and service prototyping.
• Creation of intuitive and user-friendly interfaces for digital banking platforms and applications.
• Monitoring of industry trends, design best practices, and emerging technologies.
• Managing risk and strengthening controls in relation to the work your team does.
• Collaborating with other areas of work to keep up to speed with business activity and strategies.

Senior AI Conversational Designer

• Support the effective and responsible use of AI across ClearBank’s software engineering teams.
• Work day-to-day with engineers to guide how AI can be applied within real delivery workflows.
• Help teams embed AI into the SDLC in ways that improve productivity, quality, and developer experience.
• Contribute to practical guidance, examples, and playbooks that help teams adopt AI with confidence.
• Partner with stakeholders to ensure adoption is evidence-based and aligned to engineering outcomes.
• Operate with a pragmatic mindset that supports progress while meeting regulatory and risk expectations.
• Use and evaluate AI tooling used in software engineering, including copilots, assistants, and workflow-integrated capabilities.
• Collaborate directly with engineering teams to improve how AI is used in coding, testing, review, debugging, and documentation.
• Share effective patterns, techniques, and examples that engineers can adopt in their day-to-day work.
• Identify friction points and opportunities for improvement in current engineering workflows.
• Support the rollout of new AI tools, techniques, or approaches into the engineering community.
• Contribute to defining and tracking meaningful success measures such as adoption signals, developer experience indicators, and quality outcomes.
• Work with Security, Model Risk, and other partners to ensure tooling and usage align with ClearBank’s governance expectations.
• Occasionally build or extend lightweight tooling, automation, or workflow enhancements needed to support AI adoption.

AI Enablement Engineer

• Lead the effective and responsible use of AI across ClearBank’s software engineering teams.
• Act as a subject-matter expert on AI-assisted software engineering practices, tooling, and adoption patterns.
• Shape how teams embed AI into the SDLC in ways that improve productivity, quality, and developer experience.
• Drive alignment with stakeholders so AI adoption delivers measurable outcomes rather than anecdotal gains.
• Champion pragmatic governance that enables progress while meeting regulatory and risk expectations.
• Influence engineering practices across teams and help build a coherent AI enablement approach across the bank.
• Master and evaluate AI tooling used in software engineering, including copilots, agentic tools, and workflow-integrated capabilities.
• Collaborate directly with engineering teams to improve how AI is used in coding, testing, review, debugging, and documentation.
• Introduce new AI tools, techniques, or approaches into the engineering community and support adoption at scale.
• Define and measure success using indicators such as DORA and flow metrics, adoption and engagement signals, and code quality or operational outcomes.
• Partner closely with Security, Model Risk, and other stakeholders to keep controls proportionate and non-blocking.
• Occasionally build or extend missing capabilities, including AI-driven services, agents, or platform enhancements that integrate into the SDLC.
• Build relationships with other teams across the bank using AI to share approaches, avoid duplication, and support coherent investment decisions.
• Coach and guide engineers on effective patterns, helping raise capability across the engineering organisation.

Senior AI Enablement Engineer

• Lead, coach, and develop a team of AI and Experience Orchestration Directors (individual contributors) operating as specialist overlay sellers
• Establish clear operating models that define how AI specialists work with and through core Account Executives on accounts and opportunities – as well as drive autonomous activities and sales cycles in accounts where appropriate
• Drive consistent execution of AI focused sales motions that support pipeline and revenue goals
• Partner with subregional direct sales leadership to align AI specialist coverage, priorities, and engagement models
• Ensure AI specialists effectively translate customer business challenges into AI-driven use cases, measurable outcomes, and value narratives
• Model effective executive presence, thought leadership, and consultative selling techniques in customer and internal engagements, setting the standard for specialist sellers
• Support complex, strategic enterprise opportunities by engaging with senior customer stakeholders alongside Genesys sales leadership and specialist sellers
• Monitor AI market trends, competitive dynamics, and customer feedback to continuously evolve specialist enablement, messaging, and sales approach
• Collaborate cross functionally with Product, Marketing, Enablement, Customer Success, and Professional Services to bring customer insights back into the organization –leveling up the field and continuously improving Genesys go-to-market effectiveness

Director, AI – Experience Orchestration Sales

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.
• Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.
• Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).
• Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.
• Be personally accountable for a finance-verified outcome the client can see in their P&L.
• Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.
• Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.
• Codify the method after each deployment so the next one requires less ramp-up.

Client Deployment Lead, AI

• Lead operation of critical, multi-disciplinary Enterprise AI Governance processes, driving streamlined decision-making, reduced cycle times, and consistent, controlled execution across governance domains.
• Support the ongoing strategic transformation of Enterprise AI Governance through control standardisation and automation to improve speed, consistency, and control.
• Develop into a subject matter expert on AI Governance, advising senior leadership and key stakeholders on risks, safeguards, and strategic implications, while providing transparent progress reporting.

AI Governance Operational Lead

• Building software automations to help teams at BibliU reduce their manual work & improve their productivity
• Integrating best-in-class software and AI workflows
• Building custom software
• Embedding in teams using these automations to understand their context and requirements
• Driving best practices and professional development

AI & Innovation Analyst

• Support the day-to-day operation of the Delivery function.
• Maintain delivery documentation, trackers and governance materials.
• Coordinate and administer recurring delivery activities and meetings.
• Ensure project and operational records remain accurate and up to date.
• Produce and distribute regular delivery and operational reports.
• Support internal communications across Delivery teams and stakeholders.
• Gather, validate and consolidate data for management reporting.
• Assist in preparing presentations, summaries and updates for leadership teams.
• Identify opportunities to automate repetitive delivery and processes.
• Support the design, testing and implementation of workflow automations.
• Document existing and future-state processes.
• Contribute to continuous improvement initiatives across the Delivery organisation.
• Assist with evaluations of delivery, project management and productivity tools.
• Support proof-of-concept initiatives exploring AI-enabled ways of working.
• Conduct research, testing and documentation of potential solutions.
• Help assess the effectiveness and adoption of new tools and processes.

AI Enablement Intern

• AI Commercial Business Leaders are the embedded "translators" between business functions and the AI Commercial organization, responsible for the success of AI programs.
• The role is strategically positioned in therapy areas, markets, and functions with the objectives to drive translation, adoption, and lifecycle management of AI solutions in the business.
• Key deliverables include translating business needs into well-scoped AI use cases and ensure each solution delivers measurable business impact.
• You will be responsible for owning the full lifecycle of AI solutions - from ideation through delivery, adoption, and decommissioning - and are accountable for driving real, sustained value and reuse.
• Lead change through structured stakeholder engagement, aligning perspectives and guiding teams through uncertainty.
• Act as the single business owner for AI solutions in their therapy area, market, or function.

Senior Director, AI Commercial Business Partner – Biopharmaceuticals

• The AI Commercial Business Leader is responsible for the success of AI programs
• Translate business needs into well-scoped AI use cases and ensure each solution delivers measurable business impact
• Own the full lifecycle of AI solutions - from ideation through delivery, adoption, and decommissioning
• Champion the key commercial AI programs in service of enhancing customer engagement
• Partner on the delivery of AI capability building programs
• Maintain and sequence a clear AI roadmap aligned to business, medical, access, and R&D priorities
• Engage business leaders and cross-functional teams to surface unmet needs and decision points where AI can drive new outcomes
• Co-lead delivery with enterprise AI teams to ensure solutions fit real workflows and local systems.

Senior Director, AI Commercial Business Partner – Oncology

• Lead strategic customer engagement to define AI workforce vision using Microsoft 365 Copilot, Copilot Studio and agent-based solutions.
• Translate business challenges into high-value AI opportunities spanning automation, Copilot adoption and agentic use cases.
• Act as the senior strategic lead across discovery, planning and throughout delivery to ensure alignment to business outcomes.
• Partner with delivery teams and customers to drive adoption, capture insights, and continuously optimise AI solutions.
• Define, quantify and communicate ROI, productivity gains and measurable business value using real engagement data.
• Lead pre-sales activities including workshops, executive briefings and events, while supporting pipeline growth and opportunity shaping.
• Build strong relationships with Microsoft and internal teams to align strategy, co-sell activity, and maximise customer value.
• Enable internal teams and customers through knowledge sharing, account mapping, and expansion into broader AI, automation and governance opportunities.

Solutions Specialist – AI Workforce

• Own the Number. Active brands is yours: subscribed brands running at least one live campaign in a rolling 30 days. Real usage and real revenue, not vanity signups. For the first 90 days the proxy is qualified leads while you build the pipeline. By year one, active brands is what you answer for.
• Run the Channels. Own paid across Google Ads, LinkedIn, TikTok and Instagram, including budget, bids, CPL and CPA. Own organic across SEO and AI search optimisation. Own email and lifecycle in HubSpot. Own website conversion. You set the mix and build the hypotheses. We do not hand you a channel plan.
• Build the Loop. This is the centre of the role. The agency feeds the platform with warm, high-intent brands. The platform deepens those relationships and frees the agency to win more. Each brand makes the next one cheaper. Build the referral mechanics, the agency-to-platform motion and the data flywheel so growth compounds instead of restarting every quarter.
• Run the Experiment Engine. Hypothesis, test, measure, scale the winners, kill the rest, reported weekly. Build the measurement layer from zero: tracking, attribution, dashboards, baselines. None of it exists yet. You do not fool yourself with the numbers.
• Work AI-First. Generate creative, copy and landing pages at volume. Use AI to find the patterns in our data and where the funnel leaks. Automate lifecycle messaging, personalisation and lead scoring. You are a growth operator fluent with AI, a tool orchestrator. Machine learning engineering sits outside the role.
• Feed Insight Back into Product. You sit closest to the funnel and the data, so you see what would actually move growth. Surface it. Find the levers inside the product itself: ways to make sharing and referral native, ways to pull more creators in and keep them active, the bits we should change to grow faster. Growth here is as much a product input as well as a channels job.

Growth Hacker – AI First

• Build and update AI workflows based on defined requirements and playbooks
• Configure intents, routing, escalation paths, and API-driven logic within established guidelines
• Support AI-to-human handoffs, ensuring required context is passed accurately
• Apply tone, voice, and prompt guidelines to maintain consistent AI interactions
• Implement fallback and recovery flows using best practices
• Support improvements to AI-to-human handoffs using existing frameworks
• Assist in enhancing agent experience through better data capture and workflow enhancements
• Execute workflow updates based on QA feedback, performance data, and identified issues
• Review conversations and workflow performance to identify gaps or inconsistencies
• Support testing (e.g., scenario testing, basic A/B testing) and monitor workflows post-launch
• Troubleshoot workflow issues and implement fixes for known gaps (e.g., incorrect responses, routing errors)
• Escalate complex issues or edge cases to Support Operations or senior team members
• Partner with Support Operations and Knowledge teams to gather inputs for workflow updates, and support ongoing workflow improvements
• Assist in implementing changes related to new features, policies, or content updates
• Align with manager on priorities, timelines, and deliverables

AI Workflow Specialist – 6 Month FTC

• Identify automation opportunities across billing operations, pricing configuration, and fraud monitoring, prioritising by time saved and risk reduction.
• Build lightweight AI-powered tools, scripts, and workflows using modern tooling (e.g. Claude, OpenAI APIs) to reduce manual, repetitive tasks.
• Rapidly prototype solutions such as automated ticket triage, anomaly flagging, configuration validation, and workflow orchestration.
• Iterate and improve automation based on real-world usage and team feedback.
• Document automation logic and processes clearly to ensure auditability and smooth handover.
• Provide day-to-day support across billing configuration tasks (e.g. pricing setup, product catalogue updates, promotions) with high attention to accuracy.
• Help triage and resolve billing-related issues: customer, internal, and partner-facing, while building automated solutions to reduce ticket volumes over time.
• Support fraud monitoring workflows by assisting with case handling and flagging, with a focus on understanding processes well enough to automate them.
• Work closely with Billing Engineering, Payments, Compliance, and Fraud teams to align on requirements and validate outputs.

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