Lead AI Data Engineer. Job in Frisco Move Collective Jobs

Join our innovative team as a Lead AI Data Engineer and take a key role in developing groundbreaking AI solutions and data engineering methodologies. We are dedicated to creating a space where you can achieve your aspirations while significantly impacting the insurance industry.

In this pivotal position, you will spearhead the creation of advanced AI data pipelines that consolidate various data formats to enhance our AI and Agentic solutions. We prioritize creativity, teamwork, and excellence – principles that we invite you to embrace as you explore the dynamic realm of AI and data engineering.

Key Responsibilities

• Lead the development of AI data pipelines that integrate structured, semi-structured, and unstructured data, utilizing preprocessing techniques for optimal readiness.
• Build AI-driven systems that enhance our data capabilities while following top industry practices.
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate these with our enterprise data systems.
• Work with cross-functional teams to integrate solutions seamlessly into operational processes across various departments.
• Stay ahead of advancements in Generative AI and deploy cutting-edge technologies to improve our systems.
• Design and optimize real-time data streaming pipelines using technologies like Apache Kafka, AWS Kinesis, and Spark.
• Create data domains and products tailored to different consumption models, including Reporting, Data Science, and AI/ML.
• Ensure the dependability and scalability of data pipelines through proactive monitoring and incident management.
• Implement best practices in reliability engineering, with a focus on fault tolerance and disaster recovery.
• Collaborate closely with DevOps and infrastructure teams to ensure smooth deployment and maintenance of data systems.
• Mentor junior engineers, promoting a culture of excellence and sharing best practices across teams.
• Develop graph database solutions that facilitate complex data relationships within our AI systems.
• Utilize Generative AI solutions to address data challenges specific to the insurance sector.
• Work alongside architects and stakeholders to define and realize the vision for AI and data pipelines, ensuring the integrity and scalability of our environment.

Skills Required

• In-depth technical knowledge of AI solutions utilizing cloud technologies.
• Strong communication skills for effective collaboration with both technical and non-technical teams.
• Ability to build effective partnerships and foster relationship across various teams.
• Experience mentoring junior data engineers.
• Familiarity with industry design patterns for AI.
• Robust organizational and planning skills.
• Proven leadership and teamwork skills with a transformative mindset.
• Capacity to translate complex technical concepts into strategic business insights.

Qualifications

• Must be authorized to work in the US without sponsorship.
• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• 8+ years of experience in data engineering, with expertise in SQL, NoSQL, and cloud technologies (AWS, Google, Azure).
• 1+ years specializing in data engineering for Generative AI technologies.
• Hands-on experience with enterprise-level Generative AI solutions.
• Familiarity with prompt engineering techniques for large language models.
• Experience with RAG pipelines and retrieval integration methods.
• Expertise in managing unstructured data for Generative AI applications.
• Understanding of vector and graph databases, including their implementation and optimization.
• Experience in establishing data governance practices and quality standards.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Excellent written and verbal communication skills for engaging diverse audiences.

Preferred Qualifications

• Experience with multi-cloud hybrid AI solutions.
• AI-related certifications.
• Knowledge of the P&C or Employee Benefits industry.
• Understanding of natural language processing and computer vision technologies.
• Contributions to open-source AI projects or research publications in the field of Generative AI.

Compensation

The annual base pay range for this position is $135,040 - $202,560. Actual pay may vary based on performance and experience. This role includes a comprehensive benefits package featuring short-term and annual bonuses, long-term incentives, and immediate recognition opportunities.

We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds.