1 to 25 of 107 Use Case Jobs in the City of London

business-outcome focused; it does not own enterprise technology strategy, architecture, production deployment, or platform governance. Key Responsibilities: AI, Automation & Finance Use-Case Enablement Identify and prioritize AI and automation opportunities by grounding use cases in real workflow friction, manual effort, recurring reporting needs … tracking, escalation). Capability Building, Adoption & Value Realization Build practical AI and automation capability across Finance through peer learning, office hours, use-case showcases, templates, and hands-on experimentation sessions. Coach Finance users on responsible AI and automation usedata sensitivity, review discipline, tool limitations, control requirements ...

seeking a hands-on AI Solutions Architect to take end-to-end ownership of AI solution design, from initial use case intake through to architecture, governance approval and delivery. The role is focused on turning high-value business use cases into secure, scalable and production … competitive benefits package, including core benefits such as pension provision. Key Responsibilities Take ownership of AI solutions from initial use case intake through to production deployment, ensuring designs are practical, scalable and aligned to business objectives. Translate business requirements into end-to-end solution architectures aligned ...

Involved Solutions LTD. is seeking an AI Use Case/Business Analyst to join a multidisciplinary team delivering AI-enabled digital transformation for a UK Government department. The role involves identifying AI opportunities, designing AI workflows, and leading stakeholder workshops to translate AI capabilities into practical processes. ...

design workshops, and turn what you hear into current- and future-state process maps and a clear solution blueprint. Take a use case from discovery to go-live — shaping the operating model, designing the workflows, and configuring the solution alongside your paired Forward Deployed Engineer. Navigate mixed … people, so they can confidently run and grow what you've built together. Start narrow and expand — land the first use case cleanly, then help customers grow and extend from there. Partner with Presales on late-stage sales, solution design, and proofs of value, then carry ...

acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic … agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross‐functional AI use‐case discovery sessions Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non‐technical stakeholders and vice ...

Domain experts, Business Scientists, AI Architects & Engineers, AI R&D, and AI Compliance & Governance Experts. With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track ...

delivery and reduce risk. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making and client engagement, guiding practical use cases from concept to a well-architected implementation. Ensure architecture reflects the regulatory and compliance context of asset management (for example, data privacy, client ...

compelling cases for investment. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making, and client engagement, taking practical use cases from concept to implementation. Mentor and coach engineers, lead code reviews, and raise the technical capability of the wider team. The knowledge, experience ...

data platforms used for analytics or machine learning. Familiarity with real-time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations from an architecture perspective. Understanding of EU regulatory frameworks, including GDPR, DORA, and operational resilience standards Strong ...

will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory … intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations ...

product strategy and roadmap for AI & Automation, aligned with broader Product team, market and business priorities. Identify and prioritise high-value AI use cases across the insurance lifecycle, including document and data extraction, underwriting support, claims triage, CRM and pipeline automation, and agent copilots. Translate ambiguous business problems … First 6 Months A clear, prioritised AI & Automation roadmap aligned with business, market and 2030 Vision priorities. At least one AI use case moved from discovery to live pilot, with adoption, value and commercial metrics in place. A visible and qualified pipeline of AI opportunities, with priority ...

value creation opportunities across growth, productivity, cost, risk and customer outcomes, linking opportunities to measurable business impact. Develop and prioritise portfolios of AI use cases using commercial value, strategic relevance, feasibility, risk, data readiness and time-to-impact criteria Define target AI operating models, including decision rights, governance ...

responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems, and a legacy ...

create genuine value and turning those opportunities into well-defined, deliverable solutions. Key Responsibilities of the AI Enablement Lead Identify and prioritise AI use cases based on business value, feasibility and risk. Lead discovery workshops with business teams. … Capture current processes, pain points and desired outcomes. Translate opportunities into clear, delivery-ready use cases. Own the AI use case pipeline from discovery through to deployment. Partner with technical teams and external AI delivery partners. Support the design, build, testing and rollout ...

BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. Act as architectural ...

client-specific features and modifications using Python Create data transformation scripts and API connections for seamless data flow Prototype solutions for unique customer use cases Maintain and update client-specific codebases Product Intelligence Gather detailed feedback on product performance in real-world environments Identify patterns in customer needs ...

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute ...

capture standards, and playbooks. Coordinate class-by-class rollout activities and track adoption metrics. Support the optimisation opportunities tracker by documenting use case requirements and business case data. KEY RESPONSIBILITIES Current State Documentation & Analysis Review existing process documentation, SOPs, system documentation, and MI artefacts at engagement … trigger, class affected). Assist in populating functional and technical requirements for each opportunity under direction of the Process SME. Gather and validate business case data inputs - baseline metrics, effort estimates, and benefit quantification inputs. Programme Governance Attend weekly Programme Working Group meetings and maintain accurate action logs. Update ...

engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What … build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites ...

/Senior Director of Strategic Solutions, you will target and work with customers and senior management to develop and sell high-value AI use cases and AI application roadmaps. You will help customers achieve their digital transformation objectives through identifying high-value opportunities. We are looking for motivated ...

reporting data quality metrics. Understand data management processes and systems and how they support business objectives. Capture requirements for RLAM data including use cases for data extracts, reports, operational processes, controls and AI solutions. Undertake data management operational processes, including but not limited to those related to portfolio ...

testing, and monitoring. Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions. Optimise model performance, reliability, and scalability across retail use cases. Support the development of MLOps processes and machine learning infrastructure. Deliver production-ready solutions that provide measurable business impact. Your Skills & Experience Strong ...

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute ...

develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise Salesforce processes. Support Salesforce Data Cloud solutions and data-driven use cases across the wider Salesforce ecosystem. Drive adoption of modern Salesforce capabilities and development best practices. Integration & Technical Delivery Design and develop Salesforce integrations ...

timelines, team activities, dependencies, analytical quality and delivery risks Supporting enterprise AI strategy engagements through AI maturity assessments, value-pool sizing, use-case prioritisation, operating-model design, business cases and implementation roadmaps Delivering modules of buy-side and vendor AI due diligence, including assessing AI capabilities, commercial … number of different business models, subsectors and companies Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs Success as defined by you: We’ll provide the tools and flexibility, so you can make ...