Senior Innovation Consultant (Agentic AI Consulting)

**About the Role**Join LSEG's Innovation Team (Customer Consulting Group) as a Senior Innovation Consultant (Agentic AI Consulting) — a role for someone who can lead an AI ideation workshop in the morning and ship a working multi-agent prototype by end of day.We need a rare profile: genuine financial engineering experience from a bank or trading firm, paired with hands-on Python engineering across Azure AI Foundry, Microsoft Copilot Studio, and Databricks.**At a Glance — What You'll Own*** Lead Agentic AI Innovation — End-to-end ideation and architecture of cloud-native agentic AI solutions for global banking and financial services clients.* Prototype & Engineer Fast — Build POCs and demos in Python using Azure AI Foundry, Copilot Studio, and Databricks Mosaic AI — clean, documented, version-controlled code.* Run Client Workshops — Plan and deliver innovation workshops using design thinking, from problem framing to co-created prototype roadmap.* Drive Pre-Sales Growth — Contribute SOW inputs, LOE estimates, architecture decks, and live demos to support commercial pipeline across capital markets.* Must Have — Financial engineering background from a bank or trading firm. Hands-on Python. Certified Azure AI / Databricks. Fail-fast mindset.**What You'll Do****Solution Ideation & Architecture**• Lead client ideation sessions — define opportunity areas, shape agentic AI use cases, and translate them into reference architectures and prototype tech stacks.• Design multi-agent orchestration patterns: agent routing, tool calling, memory management, and guardrails suited to financial services environments.• Apply design thinking to frame user journeys and desired business outcomes from workshop to first prototype.**Rapid Prototyping & Engineering**• Build agentic AI prototypes in Python — multi-agent pipelines, RAG systems, tool-use workflows — using LangChain, LangGraph, AutoGen, or Semantic Kernel.• Azure AI Foundry: configure model deployments, prompt flows, evaluation pipelines, and content safety filters.• Microsoft Copilot Studio: design custom copilots, configure knowledge sources and Power Platform connectors, publish to Microsoft 365 / Teams.• Databricks: build with Mosaic AI Agent Framework, Unity Catalog, MLflow, and Model Serving for governed, low-latency agentic workloads.• Integrate LSEG data — RDP APIs, MCP Connectors, Real-Time Optimized feeds — into AI-driven financial workflows.• Deliver reusable accelerators, notebooks, and demo assets. Scope is prototype-level only — not production or BAU.**Client Workshops & Delivery**• Plan, facilitate, and own end-to-end delivery of innovation workshops — from problem framing to prototype roadmap.• Work alongside cloud engineers, architects, consultants, and project managers in a fast-paced, agile sprint rhythm.**Pre-Sales & Commercial Support**• Contribute SOW inputs, LOE estimates, and solution narratives to commercial proposals.• Build and present live demos and prototype showcases that bring LSEG's AI capabilities to life for prospective clients.**Skills & Experience****Required (Must Have)**• 5+ years in financial engineering, quant analysis, or AI/ML engineering at a bank, trading firm, or financial market infrastructure.• Hands-on agentic AI: LangChain, LangGraph, AutoGen, or Semantic Kernel.• Strong Python — clean, documented, version-controlled; async patterns, API wrappers, Jupyter Notebooks.• Azure AI Foundry: prompt flows, model deployment, evaluation, Azure OpenAI (GPT-4o, o1).• Microsoft Copilot Studio: custom copilot build, topic authoring, connector integration, M365 deployment.• Databricks: Mosaic AI Agent Framework, Unity Catalog, MLflow, Model Serving.• Experience designing and delivering client-facing innovation workshops.• Excellent communication — comfortable with C-suite and engineering audiences.**Desired (Nice to Have)**• Financial engineering from a bank is a clear winner: derivatives pricing, risk analytics, fixed income, or quant research.• Capital markets knowledge: equities, FX, rates, credit, or commodities.• Familiarity with the LSEG Innovation Delivery Playbook (LIDP) and the firm's internal AI accelerator cataloguing methodology — experience aligning prototype outputs to LIDP sprint frameworks is highly valued.• LSEG product experience: Workspace, DataScope, World-Check, or Quantitative Analytics.• Real-time market data, identifier mapping (RIC, ISIN, FIGI), time-series databases.• Snowflake for governed analytical data access.• Design thinking certification or equivalent facilitation training.• CFA Level I or equivalent financial markets qualification.**Technical Stack**• Agentic Frameworks: LangChain / LangGraph, AutoGen, Semantic Kernel.• Azure AI Foundry: model catalogue, Prompt Flow, Azure OpenAI (GPT-4o, o1), content safety.• Microsoft Copilot Studio: custom copilots, Power Platform connectors, M365 / Teams deployment.• Databricks: Mosaic AI, Unity Catalog, MLflow, Model Serving, Delta Lake.• Python 3.10+, Pydantic, FastAPI, Jupyter Notebooks, GitHub / Azure DevOps.• Financial Data: LSEG RDP APIs, MCP Connectors, RTO feeds. Snowflake (advantageous).**Qualifications & Certifications****Education**• Undergraduate degree or higher in Computer Science, Financial Engineering, Data Science, Mathematics, or equivalent quantitative field.**Required Certifications**• Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100).• Python certification — PCEP or equivalent minimum.**Advantageous**• Databricks Certified Machine Learning Associate or Associate Developer.• CFA Level I or equivalent financial markets qualification.• Certified Scrum Developer or design thinking qualification.Innovate & Lead — High-impact agentic AI projects redefining financial services.Global Reach — Deliver workshops and prototypes for enterprise banking clients worldwide.Keep Learning — Certifications, AI training, design thinking programmes, and mentorship.Creative Freedom — Fail-fast culture. Experiment with cutting-edge agentic technology.Competitive Benefits — Attractive compensation, flexible working, and access to LSEG's global L&D programmes.**Career Stage:**Manager**Compensation/Benefits Information:**LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $115,300 - $192,100.Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.**London Stock Exchange Group (LSEG) Information:**Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation #J-18808-Ljbffr London Stock Exchange Group