Senior AI Developer, Engineering

🕒 Ontem

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $122.000 - $207.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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EVERSANA

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

💼 Consultoria

🏥 Saúde

⚕️ Seguro de Saúde

Consulting • Healthcare • Healthcare Insurance

EVERSANA é um fornecedor completo de serviços focado em soluções comerciais integradas para a indústria de ciências da vida. A empresa oferece uma ampla gama de serviços, incluindo consultoria de gestão e consultoria regulatória, serviços ao paciente, estratégias de acesso ao mercado, gestão de preços e receitas, assuntos médicos e transformação digital. A EVERSANA é conhecida por sua expertise em comercialização de medicamentos, permitindo que empresas lancem e gerenciem produtos farmacêuticos de forma eficaz. Com uma plataforma alimentada por dados e análises, a EVERSANA aborda desafios relacionados ao preço de medicamentos, acesso ao mercado, adesão de pacientes e entrega de produtos, ajudando as empresas a otimizarem suas estratégias comerciais e aprimorarem os resultados para os pacientes. A empresa enfatiza a inovação e foi reconhecida por seu uso de IA e análise de dados no setor de ciências da vida.

Descrição

• Lead technical discovery sessions with client business, IT, architecture, security, data, and operations teams • Translate business objectives, workflows, and operational challenges into technical requirements, architecture designs, and implementation plans • Assess enterprise application landscapes, integration requirements, data environments, security constraints, and operating models • Serve as a trusted technical advisor to clients and internal stakeholders • Communicate complex AI, data, platform, and integration concepts to technical and executive audiences • Identify technical risks, dependencies, assumptions, and mitigation strategies • Develop technical prototypes and proofs of concept • Design end-to-end solutions connecting AI Agency capabilities with client systems, data sources, content repositories, workflows, and approval environments • Build and configure production-quality integrations using APIs, webhooks, event-based patterns, secure file exchanges, connector frameworks, and enterprise integration platforms • Develop client-specific configuration and deployment assets • Contribute hands-on code across backend services, integration components, data pipelines, AI workflows, and supporting user experiences • Design and implement AI-enabled workflows using LLMs, RAG, agent orchestration, structured outputs, evaluation frameworks, and human approval checkpoints • Implement authentication, authorization, identity federation, secrets management, data mapping, error handling, observability, and audit requirements • Support transition from prototype to stable production deployment • Build and maintain data pipelines supporting reporting, analytics, and AI workflows • Partner with data engineering teams on ETL/ELT and analytics initiatives • Develop cloud-native solutions, preferably on Google Cloud Platform • Implement CI/CD pipelines and automated deployment processes • Build and maintain containerized applications using Docker and Kubernetes • Ensure reliability through monitoring, logging, alerting, and observability • Support production troubleshooting, performance optimization, and incident resolution • Model inclusive behaviors and proactively manage bias • Perform other duties as assigned

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience • 9+ years of experience in software engineering, solution engineering, technical consulting, platform implementation, or related engineering roles • 5+ years designing and deploying production cloud-based AI, data, or enterprise application solutions • Advanced programming skills in Python and at least one additional modern language such as JavaScript/TypeScript, C#, Java, or .NET • Significant experience designing APIs, data pipelines, event-driven architectures, enterprise integrations, authentication and security frameworks, and distributed systems • Hands-on experience with generative AI technologies including LLMs, prompt engineering, RAG, embeddings, vector databases, agent orchestration, AI evaluations, observability, and guardrails • Experience with Git, CI/CD, automated testing, containers, and cloud-native development practices • Strong communication, consulting, and stakeholder management skills with the ability to influence • Ability to work in select U.S. locations based on business and operational considerations

🏖️ Benefícios

• Competitive salaries and benefits • Reasonable accommodation during the interview and hiring process for qualified applicants with disabilities • Equal opportunity employment