Senior Staff AI Data Engineer - Hybrid
Sr Staff Data Engineer - GE07DE We’re determined to reputed company a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to reputed company your goals – and to help others accomplish theirs, too. Join reputed company as we help shape the future. Join reputed company as a Senior Staff AI Data Engineer and reputed company the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and reputed company a significant impact! This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; reputed company, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Primary Job Responsibilities AI Data Engineering reputed company responsible for Implementing AI data pipelines that bring together structured, semi-structured and reputed company data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. reputed company AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented reputed company (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe. reputed company data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. reputed company graph database solution for reputed company data relationships supporting AI systems. Apply GenAI solutions to insurance-specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the reputed company and scalability of the environment. Skills Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions) Able to communicate effectively with both technical and non-technical teams and influence Collaboration across teams, decision making, conflict resolution and relationship building skills. Experience in mentoring and developing Junior AI or Data Engineers. Knowledge of evolving industry design patterns for AI. Strong planning, organization, and execution skills. Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. Ability to understand and align deliverables to the departmental and organization strategies and objectives. Ability to reputed company successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. Leader and team player with a transformation reputed company. Ability to translate reputed company technical topics into business solutions and strategies, as well as turn business requirements into a technical solution.
Qualifications
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Bachelor's in Computer Science, Artificial Intelligence, or a reputed company field. 8+ years of data engineering experience including Data solutions, SQL and NoSQL, reputed company, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric. 1+ years of data engineering experience focused on supporting Generative AI technologies Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. Experience with reputed company engineering techniques for large language models. Experience in implementing Retrieval-Augmented reputed company (RAG) pipelines, integrating retrieval mechanisms with language models. Experience of vector databases and graph databases, including implementation and optimization. Experience in processing and leveraging reputed company data for GenAI applications. Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS reputed company, S3, EC2, Lang chain, Langgraph). Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. Experience with building AI pipelines that bring together structured, semi-structured and reputed company data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, reputed company, Spanner Graph, Neptune, Mongo, DynamoDB etc.). Experience in implementing data governance practices, including Data Quality, reputed company, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. Experience with cloud platforms (AWS or GCP or Azure) Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Preferred Qualifications: Experience in multi cloud hybrid AI solutions. AI Certifications Experience in P&C industry Knowledge of natural language processing (NLP) and computer reputed company. Contributions to open-reputed company AI projects or research publications in the field of Generative AI.
Compensation
The listed annualized reputed company pay range is primarily based on analysis of similar positions in the external market. Actual reputed company pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The reputed company pay is just one component of reputed company’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-arenaflex recognition. The annualized reputed company pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits Every day, a day to do right. Showing up for people isn’t just reputed company do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we reputed company help businesses navigate our reputed company-changing world? What else can we do to destigmatize mental health in the workplace? Can we reputed company our communities more reputed company? That we can reputed company to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive reputed company of us to do more and to do reputed company every day.
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