Athene is accelerating its AI initiatives to transform how we serve customers, agents, and business partners by applying Generative AI, Agentic AI, and Machine Learning to deliver operational excellence and innovative products.
Requirements
- Proficiency in Python, REST APIs, React/Node.js, and tools like OpenAPI, JSON, and YAML.
- Hands-on experience with AWS AI services (Bedrock, SageMaker, Nova, Textract, Translate, Lambda, Step Functions).
- Strong understanding of LLMs, embeddings, prompt engineering, and tool use.
- Comfortable with CI/CD pipelines, Docker, and cloud-native infrastructure.
- Solid foundation in software engineering, backend performance, observability, and security.
- Experience with enterprise-grade AI tools like Claude, GPT-4/4o, and ChatGPT Enterprise.
- Insurance or financial services experience, plus knowledge of regulatory and compliance requirements (preferred)
Responsibilities
- Build, deploy, and optimize production-grade AI applications leveraging GenAI, Agentic AI, and ML.
- Lead design and scaling of RAG pipelines, vector search systems, and LLM evaluation workflows.
- Develop AI agents with LangChain, AutoGen, LlamaIndex, or LangGraph for task automation and decision support.
- Translate complex business problems into end-to-end AI solutions using AWS-native services.
- Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
- Deliver intuitive user experiences integrating LLMs and intelligent agents into real-time workflows.
- Implement observability, governance, and responsible AI practices for secure, compliant deployments.
Other
- Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
- 6+ years in software engineering or data science, with 2+ years in GenAI/LLM/Agentic AI.
- Product-oriented mindset: rapidly prototype, iterate, test and deliver business-facing AI features.
- Track record of mentorship and technical leadership in AI-focused teams.
- Drive. Discipline. Confidence. Focus. Commitment.
