Senior Analyst - Gen AI Engineer

You will partner with business stakeholders to design AI-driven extraction rules that convert unstructured documents into high‑value structured data. You’ll craft and evaluate prompts for LLM-based extraction, maintain a Python codebase that powers workflows, and translate stakeholder needs into repeatable, auditable extraction pipelines.  

• Translate business requirements into precise extraction targets, schemas, and quality thresholds.
• Design, test, and iterate prompts for LLM-based extraction; implement evaluation protocols (e.g., accuracy, precision/recall).
• Configure and maintain extraction workflows in Python, including parsing, validation, and post-processing rules.
• Triage and resolve minor code issues; write unit tests and improve logging, monitoring, and error handling.
• Work closely with the GB Data Science team in the US in an onsite-offshore model.
• Partner with business owners to review outputs, prioritize improvements, and manage a backlog in Azure DevOps.
  
  

Preferred qualifications:

• An undergraduate/Masters degree in Computer Science, Data Science, Information Systems, or equivalent experience.
• Experience with enterprise-scale datasets or high-volume document processing.
• Exposure to Azure services, ideally Azure AI Search/Cognitive Search and Azure OpenAI, Databricks, Snowflake
• Employees should have experience in Python/Spark, CI/CD, Sci-Kit Learn, Git.
• Practical experience crafting prompts for LLMs and evaluating outputs (few-shot prompts, structured output formats, guardrails).
• Ability to read/modify Python scripts, debug minor issues, and write clear, maintainable code.
• Strong communication skills: can elicit requirements, clarify edge cases, and document decisions and workflows.
• Working knowledge of handling sensitive data securely and following standardized procedures.

EDUCATION & EXPERIENCE

• Preferred Degree: Bachelor’s / Master’s Degree in Statistics / Applied Math/Stats
• 
  Experience: 2- 5 years as AI Engineer or Prompt Engineer, Understanding of designing data science experiments

KNOWLEDGE, SKILLS AND ABILITY:

• This position is in a temperature-controlled office environment. The noise level in the work environment is usually light to moderate.
• This position is to work in a Hybrid model and depending on the need must be flexible to work from office/home as required to accomplish their role.
• This job description is not intended to be an exhaustive list of the duties and responsibilities of this position.
• Additional duties not included on this job description may be assigned by management at any time, based upon the business needs of the Company. Employees must perform all such duties assigned to them as a condition of employment. Likewise, this job description does not alter the at-will nature of employment at the Company.
• The Company may review and update this job description from time to time, as deemed necessary or appropriate in its sole discretion.

At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page.

• Competitive compensation
• Comprehensive benefits programs designed to support your well-being 
• Career development opportunities and ongoing learning 
• A collaborative, people-first culture with accessible leadership 
• The opportunity to do meaningful work with global reach and local impact 

At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles.

Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)