Join Allstate as a Full Stack AI Engineer Lead Consultant, where you will leverage your technical expertise to create AI-powered applications that protect families and their belongings.

In Short

Design and develop full-stack applications using Java Spring Boot and Python.
Integrate Generative AI models and APIs into solutions.
Build and maintain APIs, microservices, and data pipelines.
Implement CI/CD pipelines and containerization using Docker.
Deploy applications on Microsoft Azure.
Collaborate with cross-functional teams.
4+ years of full-stack development experience required.
Familiarity with modern front-end frameworks is essential.
Excellent problem-solving skills are necessary.
Background in MLOps or AI model deployment is a plus.

Requirements

4+ years of experience with Java Spring Boot and Python.
Experience with Generative AI frameworks.
Strong understanding of CI/CD and DevOps practices.
Hands-on experience with Microsoft Azure.
Proficiency in JavaScript, TypeScript, and modern frameworks.
Familiarity with Docker and Kubernetes.
Excellent problem-solving skills.
Education: 4-year Bachelor's Degree preferred.
Supervisory responsibilities: None.

Benefits

Innovative work environment.
Opportunities for professional growth.
Commitment to diversity and inclusion.
Competitive compensation package.

A.I.C

Allstate Insurance Co

Allstate Insurance Co is a leading provider of insurance products, dedicated to helping individuals and families protect their assets and prepare for life's uncertainties. With a strong national brand recognized and trusted by millions, Allstate supports local agencies in building meaningful relationships within their communities. The company offers a positive work environment that fosters innovative thinking and continuous learning, allowing employees to find value in their work while serving clients and customers. Allstate protects nearly 16 million households with a range of products, including auto, home, life, and retirement insurance, and is committed to finding the best talent to enhance customer service.

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