Applied Machine Learning Engineer Senior Consultant II

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 Senior Consultant II 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 by 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.

• 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.

Required Qualifications

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

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

• 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.

Education:

4 years Bachelors degree

Skills

AI Frameworks, AI Systems, Artificial Intelligence (AI), Java, Machine Learning (ML), Spring Boot

Compensation

Compensation offered for this role is 112,000.00 - 196,750.00 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.

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