Senior AI Developer, Engineering

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $122k - $207k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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EVERSANA

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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