Staff AI Data Engineer - Hybrid

The Hartford; Hartford (CT); Hybrid; USD 125,000 - 189,000; Full time

Job summary

Join a leading company as a Senior Staff AI Data Engineer, where you'll lead innovative AI solutions and data engineering strategies. This hybrid role involves implementing advanced data pipelines, collaborating with diverse teams, and shaping the future of technology while enjoying competitive compensation and benefits.

Qualifications

• 5+ years in data engineering with ETL/ELT, SQL/NoSQL, and Cloud Technologies.
• 1+ year supporting Generative AI technologies.
• Experience with RAG pipelines and data processing.

Responsibilities

• Implement AI data pipelines for structured and unstructured data.
• Develop systems enhancing data capabilities and compliance.
• Collaborate with teams to integrate AI into processes.

Skills

AI solutions leveraging Cloud

Collaboration

Decision-making

Conflict resolution

Relationship-building

Industry design patterns for AI

Planning

Organization

Execution

Thought leadership

Education

Bachelor's degree in Computer Science, AI, or related field

Tools

SQL/NoSQL

Snowflake

ETL/ELT

Big Data

Python

Spark

Cloud Technologies (AWS/GCP/Azure)

Job description

Staff AI Data Engineer - Hybrid

Apply now to be part of our innovative journey and make a significant impact!

Join our team as a Senior Staff AI Data Engineer and lead the development of cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence to unlock growth opportunities in AI and data engineering. Shape the future of technology with us!

Primary Job Responsibilities

• Implement AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and Agentic solutions, including pre-processing with extraction, chunking, embedding, and grounding strategies.
• Develop AI-driven systems to enhance data capabilities, ensuring compliance with industry best practices.
• Implement Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
• Collaborate with cross-functional teams to embed solutions into operational processes and systems.
• Stay updated with industry advancements in GenAI and apply modern technologies.
• Design, build, and maintain scalable real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming.
• Create data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics.
• Ensure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident management.
• Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery.

• Work closely with DevOps and infrastructure teams for deployment, operation, and maintenance of data systems.

• Develop graph database solutions for complex data relationships supporting AI systems.
• Apply GenAI solutions to insurance-specific data use cases.
• Partner with architects and stakeholders to influence and implement AI and data pipeline visions, safeguarding environment integrity and scalability.

Skills

• Strong technical knowledge of AI solutions leveraging Cloud and modern solutions.
• Excellent collaboration, decision-making, conflict resolution, and relationship-building skills.
• Knowledge of industry design patterns for AI.
• Intermediate planning, organization, and execution skills.
• Ability to provide thought leadership, demonstrating interpersonal and time management skills.
• Aligning deliverables with organizational strategies and objectives.
• Contributing successfully in agile, fast-paced environments using Scaled Agile principles.
• Translating complex technical topics into business solutions and strategies.

Qualifications

• Bachelor's degree in Computer Science, AI, or related field.
• 5+ years in data engineering, including Data solutions, SQL/NoSQL, Snowflake, ETL/ELT, CICD, Big Data, Cloud Technologies (AWS/GCP/Azure), Python/Spark, Data Mesh, Datalake/Data Fabric.
• 1+ year supporting Generative AI technologies.
• Hands-on experience with enterprise-grade GenAI data solutions and prompt engineering.
• Experience with RAG pipelines, vector and graph databases, unstructured data processing.
• Proficiency in Python, deep learning frameworks, cloud platforms, containerization.
• Strong communication skills to explain technical concepts to stakeholders.

Preferred Qualifications:

• Experience with multi-cloud hybrid AI solutions.
• AI certifications, industry-specific experience, NLP, computer vision.
• Contributions to open-source AI projects or research publications.

Compensation

The annualized base pay range is $125,760 - $188,640, based on market analysis and individual factors. Benefits include bonuses, incentives, and recognition programs.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age