AI Engineer Lead Consultant

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 We are seeking a passionate and skilled Lead Backend Developer with hands-on experience in Generative AI technologies to join our growing engineering team. This role is ideal for someone who thrives on building scalable backend systems while integrating cutting-edge AI capabilities into enterprise applications. Key Responsibilities: Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI). Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Fine-tune and optimize LLMs for specific use cases. Build secure, scalable, and high-performance microservices. Monitor and improve system performance, reliability, and scalability. Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Deploy and manage applications on cloud platforms, preferably Microsoft Azure. Participate in code reviews, testing, and continuous integration processes. Required Skills & Qualifications: 4+ years of backend development experience using Java Spring Boot or Python. Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing. Experience working with Generative AI APIs and/or open-source models. Experience with LangChain, LLM orchestration, or RAG (Retrieval-Augmented Generation) pipelines. Familiarity with prompt engineering, embedding models, or vector databases. Strong problem-solving and debugging skills. Preferred Skills: Exposure to multi-modal AI systems and agentic AI frameworks. Exposure to MLOps and model deployment workflows. Experience with Docker, Kubernetes, and CI/CD pipelines. Experience with cloud platforms (Azure, AWS or GCP). Knowledge of frontend frameworks like React or Angular. Education 4 yearBachelor’s Degree (Preferred) Experience 4 or more years of experience (Preferred) Supervisory Responsibilities This job does not have supervisory duties. Education & Experience (in lieu) In lieu of the above education requirements, an equivalent combination of education and experience may be considered. Skills Compensation Compensation offered for this role is $95,700.00 - 170,925.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. 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 is the Law” 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. Originally posted on Himalayas