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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.
Originally posted on Himalayas
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