Lead AI Engineer/Technical Lead

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Profile Summary:

We are seeking a highly motivated and experienced Technical Lead to join our dynamic AI and ProductLIFE CoE. This role is ideal for professionals with 6+ years of post-university experience who have demonstrated the ability to apply emerging technologies effectively and operationalize them in AI-driven environment. Experience with graph technologies and large language models (LLMs) is encouraged.

Profile Responsibilities:

• Lead the design, development, and deployment of AI solutions, ensuring scalability and robustness.
• Mentor and guide a team of data scientists and engineers, fostering a culture of continuous learning and innovation.
• Collaborate with cross-functional teams, including actuaries, product managers, and cloud engineers, to integrate AI tools into existing workflows and systems.
• Drive the exploration and implementation of graph-based algorithms and LLMs to solve complex business problems.
• Ensure best practices in MLOps are followed for efficient model deployment and monitoring.
• Stay current on emerging tools in the GenAI and machine learning ecosystem (e.g., LangChain, Hugging Face, vector databases, etc.).
• Explore and evaluate emerging technologies (e.g., neuromorphic computing, edge AI, quantum ML) that have the potential to transform the industry over the next 3–5 years.
• Drive our mission to lead the technology pillar of RLUS strategy to become a data-driven, AI-enabled company obsessed with improving customer outcomes

Technical & Functional Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Math, Statistics, or related fields.
• 6+ years of experience in data science or AI roles, with at least 2 years in a leadership position.
• Demonstrated experience in deploying AI solutions into production environments.
• Familiarity with MLOps practices and deploying models to production environments.
• Proficiency in Python, including libraries such as pandas, scikit-learn, numpy, and matplotlib.
• Strong understanding of graph databases (e.g., Neo4j) and graph algorithms.
• Experience with large language models and natural language processing techniques.
• Familiarity with Jupyter notebooks, Git, and APIs.
• Strong communication skills and ability to work collaboratively in a hybrid or remote team environment.
• Experience working in startup environments, demonstrating adaptability and a proactive approach to problem-solving and comfort with ambiguity in fast-paced innovation settings.
• Exposure to tools such as LangChain, Pinecone, Weaviate, or other vector databases.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP).

Familiarity with MLOps practices and deploying models to production environments.

• Proficiency in Japanese is preferred, though not a requirement.
• Life & Annuity insurance and/or Financial Services experience is a Plus but not required

Experience Required:
Minimum of 6 years in technology, with 3–5 years in hands-on AI and Data Science roles involving technical leadership, team mentorship, and delivery of high-impact solutions.

Critical Skills
At Resolution Life, we have identified the following critical skills which are key to success in our culture: 

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals. 
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. 
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.