Software Engineer (AI/GenAI Platforms)

hackajob is collaborating with Archer to connect them with exceptional professionals for this role.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 DescriptionOur MissionWe are on a mission to unlock business value from petabyte-scale unstructured enterprise data by building cutting-edge AI, GenAI, and Agentic AI capabilities on top of our Unstructured Data Platform.In this role, you’ll help transform massive volumes of documents, voice recordings, images, and video into actionable intelligence, powerful insights, and autonomous AI systems that drive real business decisions.You will design and build AI-driven systems that combine large-scale data engineering, machine learning, and generative AI to power next‑generation enterprise capabilities.What You’ll BringCore Engineering SkillsPython (required) for AI/ML developmentJava, with hands-on experience building backend services and enterprise integrationsAbility to work across both Python and Java codebases, integrating AI/ML components into Java-based enterprise systemsProven experience building and operating production-grade AI/ML systemsStrong understanding of data pipelines and distributed data processingAI / GenAI ExpertiseHands-on experience in one or more of the following areas:Large Language Models (LLMs): Working with foundation models and fine-tuningRetrieval Augmented Generation (RAG): Building context-aware AI applicationsVector Search & Embeddings: Semantic search and similarity matchingMultimodal AI: Processing text, voice, images, and videoAI Agents / Agent Frameworks: Building autonomous AI workflowsPrompt Engineering: LLM orchestration and optimizationSemantic Models: Building and leveraging semantic data modelsFramework ExperienceLangChain, LlamaIndex, Semantic KernelHugging FaceOpenAI, AWS Bedrock, Azure OpenAIData & Platform TechnologiesExperience Working In Large-scale Enterprise Data Environments, IncludingArchitectureData lakes and lakehouse architecturesAnalyticsMicrosoft Fabric, Azure Fabric, or similar analytics platformsStreamingKafka and event-driven architecturesCloud ServicesAmazon Web Services (AWS)DatastoresMongoDB AtlasAmazon DocumentDBVector databases (nice to have)ML / AI PlatformsAmazon SageMaker or similar ML platformsAWS Bedrock for foundation model access and deploymentModel training, evaluation, and deploymentExperience with MLOps workflowsObservability & ReliabilityMonitoring and troubleshooting AI and data pipelinesExperience with observability tools such as Datadog and AWS CloudWatchWhy Join Us?Work on petabyte-scale unstructured data challengesBuild with the latest GenAI and Agentic AI technologiesTransform unstructured data into enterprise intelligenceJoin a team shaping the future of AI-powered decision makingSkillsAmazon SageMaker, Amazon Web Services (AWS), Apache Kafka, Communication, Continuous Integration Software, Data Analysis, Large Language Model (LLM) Fine-Tuning, Machine Learning (ML), Python (Programming Language), Semantics, Software Development, Vector DatabasesCompensationCompensation offered for this role is 85,000.00 - 145,075.00 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.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 Know Your Rights” 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.