Allstate Insurance
Applied Machine Learning Engineer Expert
Allstate Insurance, Chicago, Illinois, United States
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, airbags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description This expert role will be responsible for multiple major technical aspects and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. The position plays a key role in the vision and realization of cutting‑edge technical capabilities into business applications and 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
Build secure, scalable, and high‑performance microservices and applications using Java Spring Boot and Python.
Design and maintain RESTful APIs and microservices architecture with asynchronous processing.
Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
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.
Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests.
Leverage APM tools such as DataDog to enhance application observability.
Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions.
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.
Essential Skills
Minimum of 3+ years of backend development experience using Java Spring Boot or Python.
Minimum of 3+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
Minimum of 1 year of experience working with Generative AI APIs and/or open‑source models.
Additional Skills Required for Lead and Expert Levels
Minimum of 4+ years of backend development experience using Java Spring Boot or Python.
Minimum of 4+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
Minimum of 1 year of experience in LangChain, LLM orchestration, and prompt engineering.
Desirable 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.
Knowledge of ethical AI practices and compliance frameworks.
Familiarity with data preprocessing, token management, and embedding generation.
Education 4‑year Bachelor’s degree.
Compensation $160,000 – $235,000 annually, based on experience and qualifications.
Candidate Requirements The candidate offered this position will be required to submit to a background investigation.
Joining Our Team Joining our team isn’t just a job – it’s an opportunity that pushes your skills to the next level, encourages you to challenge the status quo, and lets you shape the future of protection while supporting causes that mean the most to you.
Visa Policy Allstate generally does not sponsor individuals for employment‑based visas for this position.
Legal and EEO Notices Effective July 1, 2014, under Indiana House Enrolled Act 1242, it is against public policy of the State of Indiana to discriminate against a prospective employee on the basis of veteran status.
For jobs in San Francisco, please refer to the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, refer to the Los Angeles Fair Chance Initiative for Hiring Ordinance. Please view the “EEO Know Your Rights” poster and the FMLA poster for more information.
This company policy prohibits discriminatory actions based on ancestry, age, color, disability, genetic information, gender identity, sexual orientation, marital status, medical condition, national origin, religion, and other protected characteristics. This policy applies to all aspects of the employment relationship.
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Job Description This expert role will be responsible for multiple major technical aspects and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. The position plays a key role in the vision and realization of cutting‑edge technical capabilities into business applications and 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
Build secure, scalable, and high‑performance microservices and applications using Java Spring Boot and Python.
Design and maintain RESTful APIs and microservices architecture with asynchronous processing.
Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
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.
Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests.
Leverage APM tools such as DataDog to enhance application observability.
Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions.
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.
Essential Skills
Minimum of 3+ years of backend development experience using Java Spring Boot or Python.
Minimum of 3+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
Minimum of 1 year of experience working with Generative AI APIs and/or open‑source models.
Additional Skills Required for Lead and Expert Levels
Minimum of 4+ years of backend development experience using Java Spring Boot or Python.
Minimum of 4+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
Minimum of 1 year of experience in LangChain, LLM orchestration, and prompt engineering.
Desirable 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.
Knowledge of ethical AI practices and compliance frameworks.
Familiarity with data preprocessing, token management, and embedding generation.
Education 4‑year Bachelor’s degree.
Compensation $160,000 – $235,000 annually, based on experience and qualifications.
Candidate Requirements The candidate offered this position will be required to submit to a background investigation.
Joining Our Team Joining our team isn’t just a job – it’s an opportunity that pushes your skills to the next level, encourages you to challenge the status quo, and lets you shape the future of protection while supporting causes that mean the most to you.
Visa Policy Allstate generally does not sponsor individuals for employment‑based visas for this position.
Legal and EEO Notices Effective July 1, 2014, under Indiana House Enrolled Act 1242, it is against public policy of the State of Indiana to discriminate against a prospective employee on the basis of veteran status.
For jobs in San Francisco, please refer to the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, refer to the Los Angeles Fair Chance Initiative for Hiring Ordinance. Please view the “EEO Know Your Rights” poster and the FMLA poster for more information.
This company policy prohibits discriminatory actions based on ancestry, age, color, disability, genetic information, gender identity, sexual orientation, marital status, medical condition, national origin, religion, and other protected characteristics. This policy applies to all aspects of the employment relationship.
#J-18808-Ljbffr