обновлено 7 дней назад
Principal Software Engineer/Principal AI Engineer
115 400 - 192 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer/Principal AI Engineer (Agentic AI/LLMs): Building and productionizing enterprise AI solutions, reusable agentic patterns, and integrations for internal innovation squads with an accent on orchestration, tool use, memory, retrieval, security, and data governance. Focus on taking prototypes to production, designing scalable architectures, measuring outcomes, and mentoring engineers while driving complex technical decisions.
Location: Philadelphia, United States
Salary: $115,400–$192,300 annual base pay, plus eligibility for an annual incentive bonus.
Company
provides information, analytics, and data-driven solutions supporting scientific research, healthcare, health education, clinical practice, and interactive learning.
What you will do
- Lead technical execution for an embedded Innovation Squad from discovery through production.
- Build, evaluate, harden, and productionize AI prototypes and proofs of concept.
- Design reusable agentic AI patterns covering orchestration, tool use, memory, retrieval, and production guardrails.
- Integrate AI solutions with enterprise systems, APIs, data pipelines, cloud infrastructure, and managed AI/ML services.
- Convert validated solutions into reusable patterns, reference implementations, and starter kits for other functions.
- Work with stakeholders and end users, define requirements, make architecture decisions, measure outcomes, and mentor engineers.
Requirements
- 10+ years of software engineering experience, including hands-on AI system design, development, or integration and taking enterprise AI prototypes to production.
- Experience with LLM orchestration, prompt engineering, context-window management, production guardrails, MCP, tool-augmented agents, and enterprise-scale RAG.
- Experience integrating AI through APIs and data pipelines with strong security, data governance, and data residency practices.
- Experience with AWS, Azure, or GCP; Agile, CI/CD, modern SDLC, and TDD.
- Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs, plus relational, columnar, and vector data stores.
- BS in Engineering, Computer Science, or an equivalent field; advanced degree preferred.
Nice to have
- Advanced degree in Engineering, Computer Science, or a related discipline.
- Experience with budget planning, managed services, staff augmentation, and enterprise innovation delivery.
Culture & Benefits
- Flexible working hours to support work-life balance.
- Comprehensive pension plan and generous vacation entitlement.
- Sabbatical leave, shared parental and family care leave, and study assistance.
- Personal Choice budget, employee discounts, internal communities, and networks.
- Employee Assistance Program and country-specific benefits.
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