Staff Engineer - Applied AI

- 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production. - Experience adding intelligence to internal processes and workflows to improve efficiency, automation, and decision-making - Track record of improving system reliability and scalability through architectural improvements, performance optimization, and infrastructure enhancements - Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production. - Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration. - Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts. - Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design. - A history of delivering measurable business outcomes from AI systems. - Strong competency in distributed systems, service design, performance optimization, and reliability engineering.

- Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures. - Experience with insurance, financial services, or other regulated industries. - Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel. - Background in document intelligence, fraud or anomaly modeling, or complex ontology and knowledge graph design. - Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance. - Ability to effectively communicate complex technical topics to senior leadership and non-technical stakeholders.

- A collaborative engineer who works well with cross-functional partners and supports the growth of those around you. - A hands-on builder who ships reliable, scalable, production-grade systems rather than stopping at proof of concept. - Someone who understands how to design systems that scale smoothly, recover gracefully, and operate reliably under load. - An innovative thinker who explores new approaches, tools, and architectures and applies them thoughtfully. - A natural mentor who enjoys helping others develop AI, LLM, and agentic workflow skills. - A systems thinker who can connect LLMs, vector search, agents, and knowledge graphs into cohesive solutions. - Driven by real-world impact, customer value, and long-term engineering excellence.

- Build the next generation of AI-powered enterprise workflows and intelligent automation. - Work on high-impact problems at large operational scale. - Collaborate with a talented engineering organization focused on advancing AI capabilities. - Set the standard for responsible and production-grade AI deployment across the enterprise. - Mentor and inspire future AI builders across the company.

Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.