Senior AI Developer, Engineering

🕒 August 13

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $122k - $207k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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 and workflows into technical requirements, architecture designs, and implementation plans • Assess enterprise application landscapes, integration requirements, data environments, security constraints, and operating models • Advise clients and internal stakeholders on AI, data, platform, and integration concepts • Identify technical risks, dependencies, assumptions, and mitigation strategies • Develop technical prototypes and proofs of concept • Design end-to-end AI solutions connecting 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 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 prototypes to stable production deployments • Build and maintain integrations, system connectors, and data pipelines • Design data mapping, transformation, validation, and synchronization processes • 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 Docker and Kubernetes applications • Monitor reliability through logging, alerting, and observability • Support troubleshooting, performance optimization, and incident resolution • Model inclusive behaviors and proactively manage bias • Perform other assigned duties

🎯 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 Python programming and proficiency in 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 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 • Ability to influence technical teams and executive stakeholders

🏖️ Benefits

• Competitive salary and benefits • Remote work option • Reasonable accommodation during the interview and hiring process • Equal opportunity and inclusive workplace • Salary adjusted based on relevant experience, qualifications, skills, and geographic location