AI Technical Lead Engineer

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Job Description:

Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups. 

Job Summary:

We are seeking a proactive and innovative Mid-Level AI Lead to spearhead the design and implementation of advanced AI solutions, including emerging Agentic AI workflows. This role blends leadership in AI strategy with hands-on responsibilities in data engineering, ensuring the seamless integration of AI models into our data infrastructure. The ideal candidate will have a strong grasp of data pipeline best practices and a track record of delivering high-impact AI solutions.

Key Responsibilities

AI Strategy & Leadership

• Define and execute AI strategy, focusing on innovative, agentic AI workflows that enable autonomous or semi-autonomous decision-making.
• Collaborate with leadership and cross-functional teams to align AI initiatives with business objectives.

End-to-End AI Pipeline Development

• Oversee the full AI lifecycle—from data ingestion and model training to deployment and monitoring—to ensure high-impact, scalable solutions.
• Continuously refine AI workflows, leveraging best practices in model iteration and optimization.

Agentic AI Workflow Implementation

• Design, prototype, and implement AI agents that can learn, adapt, and interact with users or systems with minimal human intervention.
• Utilize reinforcement learning, advanced machine learning techniques, and robust data pipelines to power autonomous or semi-autonomous AI systems.

Data Infrastructure & Engineering

• Build and maintain scalable data architectures in support of AI models, ensuring robust data ingestion, transformation, and storage.
• Implement ETL (Extract, Transform, Load) pipelines—preferably using Airflow—to guarantee clean, reliable data for AI model training and validation.

Collaboration with Stakeholders

• Partner with data scientists, software engineers, and product teams to develop and deploy AI solutions that meet evolving business needs.
• Present progress and insights to both technical and non-technical stakeholders, driving consensus and facilitating decision-making.

Scalability & Reliability

• Optimize AI models and data pipelines to handle large data volumes and complex AI scenarios without compromising performance.
• Develop robust monitoring and alerting systems to maintain consistent model performance.

Performance Optimization

• Evaluate and fine-tune models for speed, accuracy, and cost-efficiency.
• Employ big data technologies (e.g., Apache Spark, Hadoop) and cloud platforms (Azure, Google Cloud, Databricks) to enhance operational efficiency.

Documentation & Best Practices

• Maintain clear, comprehensive documentation for AI processes, data pipelines, and agentic workflows.
• Ensure adherence to industry standards, data governance, and compliance requirements.

Qualifications, Education & Experience:

Agentic AI & Autonomous Systems

• Proven expertise in building AI solutions that can operate autonomously or semi-autonomously (e.g., reinforcement learning, multi-agent systems).

Machine Learning & Data Science

• In-depth knowledge of ML algorithms, feature engineering, and data preprocessing techniques.
• Experience integrating machine learning frameworks (e.g., TensorFlow, PyTorch) into production environments.

SQL & Python

• Advanced proficiency in SQL for database querying and Python for AI model development, data manipulation, and automation.

ETL & Workflow Orchestration

• Strong experience in designing and implementing ETL pipelines, particularly with Airflow or similar orchestration tools.

Cloud & Big Data Platforms

• Familiarity with Azure or Google Cloud for data storage, processing, and AI deployments.
• Knowledge of Databricks, Apache Spark, Hadoop, or similar technologies for large-scale data processing.

Technical Leadership

• Ability to translate complex AI concepts into actionable roadmaps, guiding junior team members and stakeholders.

Insurance Data Knowledge (Preferred)

• Exposure to insurance datasets and domain-specific challenges is a plus.

Education

• A master’s degree in Computer Science, Engineering, Data Science, or a related field is preferred.

Knowledge, Skills & Competencies:  

• Excellent communication, problem-solving, and leadership abilities.
• Comfort working in dynamic, cross-functional teams, driving collaboration and strategic thinking.

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture 

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. 

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.  

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.  

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Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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