Applied Machine Learning Engineer Lead Consultant

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

This lead consultant is a hands-on, forward engineering role in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.

About the Role

We are looking for a Generative AI Software Engineer to join our team and help build next-generation AI-driven solutions. This role blends traditional Software engineering with cutting-edge AI integration , enabling innovative digital products and services. You will work closely with cross-functional teams to design, develop, and deploy secure, scalable applications and integrate advanced AI models into production environments.

Key Responsibilities

Sofware Engineering

Build secure, scalable, and high-performance microservices and applications using Java Spring Boot / Python .

Design and maintain RESTful APIs and microservices architecture with asynchronous processing.

Implement CI / CD pipelines , containerization ( Docker ), and orchestration ( Kubernetes ).

Deploy and manage applications on cloud platforms, preferably Microsoft Azure .

AI Integration & Development

Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments.

Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines.

Work with embedding models , vector databases , and prompt engineering techniques.

Explore multi-modal AI systems and agentic AI frameworks for advanced capabilities.

Modern Development Practices

Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests.

Leverage APM tools like DataDog to enhance Observability posture for your application.

Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions.

MLOps & Model Deployment

Implement best practices for model deployment, scaling, versioning, and monitoring .

Develop and maintain scalable data pipelines for ingestion, processing, and feature engineering.

Ensure compliance with ethical AI standards and data governance as per Allstate standards.

Required Qualifications

3+ years of backend development experience using Java Spring Boot / Python .

Strong understanding of RESTful APIs , microservices architecture , and asynchronous processing .

Hands-on experience with Docker , Kubernetes , and CI / CD pipelines .

Experience working with Generative AI APIs and / or open-source models.

Knowledge of LangChain , LLM orchestration , and prompt engineering .

Preferred Skills

Exposure to multi-modal AI systems and agentic AI frameworks .

Experience with MLOps workflows and cloud deployment ( Azure / AI Foundry preferred ).

Strong problem-solving and debugging skills.

Nice to Have

Knowledge of ethical AI practices and compliance frameworks.

Familiarity with data preprocessing , token management , and embedding generation .

Education : Bachelors Degree

Why Join Us?

Work on cutting-edge AI technologies and shape the future of digital products.

Collaborate with a dynamic, cross-functional team in an innovative environment.

Competitive compensation, benefits, and opportunities for professional growth.

Skills

AI Systems, Artificial Intelligence (AI), Large Language Model (LLM) Fine-Tuning, Machine Learning (ML), Microservices Architecture, Natural Language, Python (Programming Language)

Compensation

Compensation offered for this role is 141,800.00 - 219,200.00 annually and is based on experience and qualifications.

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

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

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.

For jobs in San Francisco, please click " here " for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click " here " for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click " here ". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click " here ". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

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.