Senior Innovation Consultant (Agentic AI Consulting)

LSEG•New York, NY

About The Position

Join LSEG's Innovation Team (Customer Consulting Group) as a Senior Innovation Consultant (Agentic AI Consulting). This role is for someone who can lead an AI ideation workshop in the morning and ship a working multi-agent prototype by end of day. The position requires a rare profile with 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.

Requirements

5+ years in financial engineering, quant analysis, or AI/ML engineering at a bank, trading firm, or financial market infrastructure.
Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Semantic Kernel.
Strong Python programming skills, including clean, documented, version-controlled code, async patterns, API wrappers, and Jupyter Notebooks.
Proficiency with Azure AI Foundry, including prompt flows, model deployment, evaluation, and Azure OpenAI (GPT-4o, o1).
Experience with Microsoft Copilot Studio for custom copilot building, topic authoring, connector integration, and M365 deployment.
Expertise in Databricks, including Mosaic AI Agent Framework, Unity Catalog, MLflow, and Model Serving.
Experience designing and delivering client-facing innovation workshops.
Excellent communication skills, comfortable with C-suite and engineering audiences.
Undergraduate degree or higher in Computer Science, Financial Engineering, Data Science, Mathematics, or an equivalent quantitative field.
Required Certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100).
Required Certifications: Python certification (PCEP or equivalent minimum).
A fail-fast mindset.

Nice To Haves

Specialized financial engineering experience from a bank (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.
LSEG product experience (Workspace, DataScope, World-Check, or Quantitative Analytics).
Experience with real-time market data, identifier mapping (RIC, ISIN, FIGI), and time-series databases.
Experience with Snowflake for governed analytical data access.
Design thinking certification or equivalent facilitation training.
CFA Level I or equivalent financial markets qualification.
Databricks Certified Machine Learning Associate or Associate Developer.
Certified Scrum Developer.

Responsibilities

Lead end-to-end ideation and architecture of cloud-native agentic AI solutions for global banking and financial services clients.
Build POCs and demos in Python using Azure AI Foundry, Copilot Studio, and Databricks Mosaic AI, ensuring clean, documented, version-controlled code.
Plan and deliver innovation workshops using design thinking, from problem framing to co-created prototype roadmap.
Contribute SOW inputs, LOE estimates, architecture decks, and live demos to support commercial pipeline across capital markets.
Lead client ideation sessions to define opportunity areas, shape agentic AI use cases, and translate them into reference architectures and prototype tech stacks.
Design multi-agent orchestration patterns including 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.
Build agentic AI prototypes in Python, including multi-agent pipelines, RAG systems, and tool-use workflows, using frameworks like LangChain, LangGraph, AutoGen, or Semantic Kernel.
Configure model deployments, prompt flows, evaluation pipelines, and content safety filters in Azure AI Foundry.
Design custom copilots, configure knowledge sources and Power Platform connectors, and publish to Microsoft 365 / Teams using Microsoft Copilot Studio.
Build with Mosaic AI Agent Framework, Unity Catalog, MLflow, and Model Serving for governed, low-latency agentic workloads in Databricks.
Integrate LSEG data (RDP APIs, MCP Connectors, Real-Time Optimized feeds) into AI-driven financial workflows.
Deliver reusable accelerators, notebooks, and demo assets (prototype-level only, not production or BAU).
Plan, facilitate, and own end-to-end delivery of innovation workshops.
Work alongside cloud engineers, architects, consultants, and project managers in a fast-paced, agile sprint rhythm.
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.