5 дней назад
Principal Dev Engineer (AI)
121 200 - 225 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Dev Engineer (AI): Supporting AI Engineering and end-to-end delivery of the Intelligent Delivery Platform with an accent on solution architecture, technical troubleshooting, and stakeholder alignment. Focus on operationalizing AI observability, evaluating and deploying models, building RAG and multi-agent architectures, and delivering complex data science solutions.
Location: Chicago, Illinois, United States
Base pay: $121,200–$225,200 annually, plus eligibility for an annual incentive bonus.
Company
is a purpose-driven health insurance organization investing in employee development and long-term careers.
What you will do
- Support the delivery lead with AI Engineering and end-to-end delivery of the Intelligent Delivery Platform.
- Align technical execution with business needs and project performance metrics.
- Provide technical insight and troubleshoot delivery issues.
- Lead or deliver AI Engineering solutions for complex analytics and data science projects.
- Assess architectures and apply solution architecture and software engineering practices.
- Communicate technical information and present recommendations to stakeholders, including C-suite executives.
Requirements
- Bachelor’s degree in MIS, Computer Science, Data and Analytics, Programming, Engineering, or a related discipline, or equivalent experience.
- 12+ years of technical application development experience.
- Experience with technologies such as J2EE, SQL, JSON, PCF, Azure, AWS, REST APIs, microservices, Mulesoft, Salesforce, Tableau, DB2, Oracle, or MongoDB.
- Experience with architecture assessments, solution architecture, software engineering, and portfolio or technology lifecycle management.
- Strong stakeholder management, leadership, communication, business, engineering, analytical, and problem-solving skills.
- Ability to drive outcomes in a rapidly changing, matrixed environment.
Nice to have
- AI observability and framework operationalization experience.
- Knowledge graph database experience with Neo4j.
- Experience with small language models, custom models, AI model evaluation and deployment, and model training or fine-tuning.
- Experience with Python-based frameworks including LangChain, LangGraph, and LangFuse.
- Experience with prompt engineering, multiple AI models, RAG architectures, and multi-agent orchestration.
Culture & Benefits
- Curated development plans supporting professional growth.
- Health and wellness benefits, 401(k) savings plan, pension plan, and paid time off.
- Paid parental leave, disability insurance, supplemental life insurance, and an employee assistance program.
- Paid holidays, tuition reimbursement, and additional incentives.
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