Senior Innovation Consultant (agentic Ai Consulting)
Land Securities Group
Base: $115,300 - $192,100; bonus: eligible for ann...
Not specified (could be inferred as hybrid based on industry standards).
Financial engineering background from bank
Hands-on python engineering skills
Azure ai foundry and databricks expertise
The Senior Innovation Consultant position at Land Securities Group requires a unique blend of financial engineering expertise and hands-on Python engineering skills to lead the development of agentic AI solutions for the banking and financial services sector. The role includes conducting innovation workshops, prototyping AI applications, and supporting pre-sales activities
Job Summary
This role requires a rare profile combining genuine financial engineering experience with hands-on Python engineering to lead agentic AI innovation.
Candidates will be responsible for running client workshops, building rapid prototypes using Azure AI Foundry and Databricks, and supporting pre-sales growth.
The position offers competitive compensation ranging from $115,300 to $192,100 plus an annual incentive plan and comprehensive benefits.
Matching Summary
Match Score: 85
The Senior Innovation Consultant position at Land Securities Group requires a unique blend of financial engineering expertise and hands-on Python engineering skills to lead the development of agentic AI solutions for the banking and financial services sector. The role includes conducting innovation workshops, prototyping AI applications, and supporting pre-sales activities.
Salary
Base: $115,300 - $192,100; Bonus: Eligible for Annual Incentive Plan (AIP); Benefits: Medical, Dental, Vision, 401(K) match, wellness allowance
Skills & Requirements
Must-have
Financial engineering background from bank
Hands-on Python engineering skills
Azure AI Foundry and Databricks expertise
Microsoft Copilot Studio experience
Agentic AI frameworks like LangChain
Nice-to-have
Design thinking certification or facilitation training
CFA Level I or equivalent financial qualification
Experience with LSEG internal AI accelerator methodology
Familiarity with real-time market data feeds
Snowflake for governed analytical data access
Key Requirements
5+ years in financial engineering or quant analysis
Azure AI Engineer Associate or Data Scientist Associate certification
Python certification (PCEP or equivalent)
Undergraduate degree in Computer Science or related field