At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

Senior Investments AI Lead to drive investment organization's artificial intelligence initiatives. In this critical role, you will bridge the gap between strategic vision and technical execution, working directly with investment teams to identify high-value AI opportunities while personally implementing solutions that deliver measurable business impact.

This is a hands-on position for someone who combines deep technical expertise with strategic thinking and excellent stakeholder management skills. You will shape our AI roadmap while also rolling up your sleeves to build and deploy innovative solutions. This role will also work in close partnership with Investments Technology, Analytics and Decisions Support and Quantitative Research teams to drive value creation from AI.

Key Responsibilities
 

Strategic Leadership

  • Explore and evaluate AI use cases with different investment teams to identify opportunities with highest ROI
  • Establish an AI operating framework to guide initiatives and ensure consistent implementation
  • Partner with Investments Technology to advise on technology stack selection and build vs. buy decisions for AI solutions
  • Identify opportunities to enhance traditional quantitative models with AI and machine learning techniques
     

Technical Implementation

  • Design, build, and maintain end-to-end AI solutions, including LLM integrations, RAG systems, and custom ML models
  • Implement scalable AI infrastructure that supports current needs while allowing for future growth
  • Create reusable AI components that can be leveraged across different business functions
  • Stay current with emerging AI technologies and evaluate their potential application
  • Document technical approaches and best practices to ensure knowledge sharing
     

Governance & Risk Management

  • Collaborate with risk and governance teams to establish responsible AI guidelines
  • Ensure AI solutions adhere to regulatory requirements and ethical standards
  • Develop processes for AI model validation, monitoring, and quality assurance
  • Address data privacy, security, and bias concerns in AI implementations
     

Team Leadership & Education

  • Foster AI literacy across the organization through workshops and training
  • Mentor technical team members on AI best practices and implementation strategies
  • Communicate complex AI concepts effectively to both technical and non-technical audience.

SUPERVISORY RESPONSIBILITIES

  • This job does not have supervisory duties.


EDUCATION AND EXPERIENCE

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field (Master's or PhD preferred)
  • 5+ years of experience building and deploying production-grade AI/ML solutions
  • Proven experience implementing LLM-based applications with frameworks like LangChain, LlamaIndex, etc.
  • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.)
  • Hands-on experience with vector databases, RAG architectures, and prompt engineering
  • Demonstrated ability to translate business problems into technical AI solutions
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies
  • Strong communication skills with ability to influence stakeholders at all levels

FUNCTIONAL SKILLS

  • Experience in financial services or investment management or financial engineering
  • Knowledge of MLOps workflows and tools (MLflow, Kubeflow, etc.)
  • Experience with data engineering and building data pipelines
  • Familiarity with AI governance, risk management, and compliance considerations

Skills

Analytics, Artificial Intelligence (AI), Data Science, Investments, Machine Learning

Compensation

Compensation offered for this role is $169,000.00 - 242,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Salary

$169,000

Yearly based

Location

Chicago River Point, United States

Job Overview
Job Posted:
4 days ago
Job Expires:
Job Type
Full Time

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