AI Engineer – IV

🕒 Janeiro 15

🐻 Alaska, Arizona, +25 estados a mais – Remoto

🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $131.900 - $237.400 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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Premera Blue Cross

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1945

⚕️ Seguro de Saúde

Healthcare Insurance

A Premera Blue Cross é uma provedora independente de seguro de saúde, atendendo empresas e residentes do estado de Washington e Alasca como licenciada da Blue Cross Blue Shield Association. A empresa oferece uma variedade de planos de saúde, incluindo planos individuais, familiares, baseados em empregadores e suplementares ao Medicare. No entanto, anunciou que sairá do mercado Medicare Advantage a partir de 1º de janeiro de 2025. A Premera está comprometida em promover a equidade em saúde e suporte à comunidade, evidente através de seu Programa de Impacto Social focado em saúde comportamental e soluções para a falta de moradia em Washington e Alasca. Além disso, a Premera cumpre com as leis de direitos civis federais e estaduais, oferecendo serviços de assistência linguística para garantir um cuidado equitativo.

Descrição

• Recommend and develop comprehensive multi-agent systems and enterprise AI systems for complex applications and products. • Pitch concepts to team leadership and lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. • Assist in designing and implementing the cloud architecture of large multi-faceted AI systems on Kubernetes using platforms like Azure AI Foundry with comprehensive agent governance. • Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems including graph databases, tensor-based fusion, and multi-model retrieval. • Develop specifications for enterprise-wide agent communication standards, tool governance, and evaluation harnesses to deploy AI models at scale. • Develop the code for monitoring models and AI systems including customer evaluation metrics, agent behavior analytics, and comprehensive drift detection that ensures consistent and reliable performance. • Actively participate in a team that exercises principled, agile-like development practices. • Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations including architectural decision records. • Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. • Guide and mentor junior AI engineers on AI/ML and industry best practices and methodologies and emerging standards like A2A, MCP, and novel reasoning/retrieval techniques. • Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. • Advise team and division leadership on matters such as enterprise AI strategies, AI related technology strategies and roadmaps, AI related infrastructure strategies, and roadmaps. • Meet and collaborate with external stakeholders to conceptualize AI solutions that realize business value while ensuring AI governance adherence, AI best practices, and data quality. • Provide thought leadership to the Premera AI community.

🎯 Requisitos

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. • Minimum of 5 years of industry experience in developing, deploying, and maintaining AI or ML systems. • Up to two years of industry experience may be substituted with an AI centered Master’s/PhD degree or AI Engineering certifications. • At least 4 years of experience in developing enterprise scale multi-agent systems using advanced orchestration and evaluation frameworks. • Previous experience with novel fusion techniques (TRF, learned rankers) and production GraphRAG at scale. • Experience implementing enterprise AI systems with comprehensive governance, security, and compliance features. • Publications, patents, or significant open-source contributions in agent architectures or advanced retrieval systems. • Minimum of 4 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. • At least 5 years working within agile-like teams and environments. • Mastery of complex multi-agent architectures including distributed orchestration. • Expert knowledge of advanced fusion methods (TRF, tensor-based ranking). • Ability to design enterprise-scale RAG systems with comprehensive governance. • Deep expertise in agent evaluation and benchmarking methodologies. • Proficiency in implementing agent safety systems and attack mitigation. • Advanced knowledge of graph-augmented retrieval and ontology alignment. • Experience with multi-modal agent systems and embeddings. • Ability to design agent communication standards and protocols. • Expertise in token optimization and cost management at scale. • Knowledge of agent pool management and scale-to-zero architectures. • Experience with agent simulation and testing frameworks. • Ability to mentor teams on cutting-edge AI engineering practices. • Understanding of regulatory compliance for agentic AI systems. • Ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.

🏖️ Benefícios

• Medical, vision, and dental coverage with low employee premiums. • Voluntary benefit offerings, including pet insurance for paw parents. • Life and disability insurance. • Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service. • Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs. • Generous paid time off to reenergize. • Tuition assistance for both undergraduate and graduate degrees. • Employee recognition program to celebrate anniversaries, team accomplishments, and more. • On-campus model provides flexibility with access to on-site resources, networking opportunities, and team engagement. • Commuter perks to lessen environmental and financial impact. • Free convenient on-site parking. • Subsidized on-campus cafes for affordable lunches. • Engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs. • Complementary fitness & well-being center with both in-person and virtual workouts and nutritional counseling. • Fun recreational activities on campus like shuffleboard or ping pong.