Allstate Insurance Company
Applied Machine Learning Engineer Lead Consultant
Allstate Insurance Company, Indiana, Pennsylvania, us, 15705
Job Description
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.
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 .
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.
Compensation Compensation offered for this role is 0.00 - 0.00 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.
#J-18808-Ljbffr
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 .
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.
Compensation Compensation offered for this role is 0.00 - 0.00 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.
#J-18808-Ljbffr