Applied Machine Learning Engineer Expert

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.

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. Plays a key role in the vision and realization of cutting‑edge technical capabilities into business applications and solutions.

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. This position is open at multiple levels including Senior Consultant, Lead and Expert levels.

• 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.

• Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, Lang Chain) 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 Git Hub Copilot and agentic AI for code reviews, unit testing and pull requests.
• Leverage APM tools like Data Dog to enhance Observability posture for your application.
• 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.

• Minimum of 3+ years of backend development experience using Java Spring Boot / Python.
• Minimum of 3+ years working with RESTful APIs, microservices architecture and asynchronous processing.
• Minimum of 1 year’ experience working with Generative AI APIs and/or open‑source models.

• Minimum of 4+ years of backend development experience using Java Spring Boot / Python.
• Minimum of 4+ years working with RESTful APIs, microservices architecture and asynchronous processing.
• Minimum of 1 year’ experience in Lang Chain, LLM orchestration and prompt engineering.

• 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.

4 year Bachelor's degree

AI Frameworks, Artificial Intelligence (AI), Java, Machine Learning (ML), Natural Language Processing (NLP), Spring Boot

Compensation offered for this role is  -  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…