Sr. AI Developer, Engineering

Eversana; Chicago, Northern (IL, KY); Hybrid; USD 122,000 - 207,000; Full time

Job summary

EVERSANA is seeking a Senior AI Agency Engineer to design, build, and deploy enterprise-grade AI solutions that connect generative AI, workflow automation, and business systems for pharmaceutical and healthcare marketing.

You will lead technical discovery with clients, translate requirements into scalable architectures, and deliver production-ready integrations across APIs, data platforms, and AI workflows while collaborating with product, security, and delivery teams.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 9+ years of software engineering, solution engineering, technical consulting, platform implementation, or related roles.
• 5+ years designing and deploying production cloud-based AI, data, or enterprise applications.

Responsibilities

• Lead technical discovery sessions with client teams across business, IT, architecture, security, data, and operations.
• Translate business objectives into technical requirements and architecture designs.
• Design end-to-end solutions connecting AI capabilities with client systems and workflows.
• Build and configure production-quality integrations using APIs, webhooks, and enterprise platforms.
• Develop AI-enabled workflows with LLMs, RAG, and agent orchestration.
• Ensure authentication, security, observability, and governance in deployments.

Skills

APIs

Event‑driven architectures

Enterprise integrations

Authentication and security frameworks

Distributed systems

Generative AI technologies

Git, CI/CD, automated testing

Education

Bachelor's degree

Tools

Google Cloud Platform

Docker

Kubernetes

Snowflake

BigQuery

Job description

• Job Family: Software and Web Development
• Compensation: USD 122000 - USD 207000 - yearly

Company Description

EVERSANA INTOUCH®is a global, full-service marketing agency network serving the life sciences industry, and is the first – and only – agency network to be part of a fully integrated commercialization platform through EVERSANA®. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients.

We get fired up when people talk about getting—and staying—healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need.

We embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.

Job Description

The Senior AI Agency Engineer designs, builds, and deploys enterprise-grade AI solutions that connect generative AI, workflow automation, compliance controls, and business systems to accelerate pharmaceutical and healthcare marketing operations.

This role combines the responsibilities of a senior software engineer, solutions architect, and client-facing technical consultant. The individual leads technical discovery with clients, translates business requirements into scalable technical solutions, develops integrations and AI workflows, and partners across product, engineering, data, security, and delivery teams to bring production-ready AI solutions to market.

The ideal candidate possesses deep expertise in modern software engineering, cloud-native architecture, enterprise integrations, and generative AI technologies, along with the communication skills needed to engage both technical teams and executive stakeholders.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

Client Discovery & Technical Leadership

• 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 both technical and executive audiences.
• Identify technical risks, dependencies, assumptions, and mitigation strategies early in engagements.
• Develop technical prototypes and proofs of concept to validate solution feasibility and accelerate decision-making.

Solution Architecture & Engineering

• Design end-to-end solutions that connect 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 while preserving the integrity of the shared platform architecture.
• Contribute hands‑on code across backend services, integration components, data pipelines, AI workflows, and supporting user experiences.
• Design and implement AI-enabled workflows using large language models, retrieval‑augmented generation, 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.
• Create technical prototypes when needed to validate feasibility, reduce ambiguity, or accelerate client decision‑making.
• Support the transition from prototype to stable, supportable production deployment.

Enterprise Integrations & Data Engineering

• Design, build, and maintain integrations using APIs, webhooks, event‑driven architectures, secure file exchanges, and enterprise integration platforms.
• Develop system connectors to enterprise platforms including:
• Veeva Vault / PromoMats
• Salesforce Marketing Cloud
• SharePoint
• Adobe Experience Cloud
• Snowflake
• BigQuery
• Vertex AI
• Build and maintain data pipelines supporting reporting, analytics, and AI workflows.
• Design data mapping, transformation, validation, and synchronization processes.
• Partner with data engineering teams to support ETL/ELT and analytics initiatives.

Cloud Infrastructure, Deployment & Operations

• Develop cloud-native solutions with a preference for Google Cloud Platform.
• Implement CI/CD pipelines and automated deployment processes.
• Build and maintain containerized applications using Docker and Kubernetes.
• Ensure application reliability through monitoring, logging, alerting, and observability practices.
• Maintain high standards of testing, code quality, scalability, and operational excellence.
• Support production troubleshooting, performance optimization, and incident resolution.
• Modeling inclusive behaviors and proactively managing bias.
• All other duties as assigned.

Qualifications

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• 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.
• APIs
• Event‑driven architectures
• Enterprise integrations
• Authentication and security frameworks
• 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

Additional Information

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.

Client Delight I own every client experience and its impact on results.

Take Action I am empowered and empower others to act now.

Grow Talent I own my development and invest in the development of others.

Win Together I passionately connect with anyone, anywhere, anytime to achieve results.

Communication Matters I speak up to create transparent, thoughtful and timely dialogue.

Embrace Diversity I create an environment of awareness and respect.

Always InnovateI am bold and creative in everything I do.

EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, itrepresentsthe low and high end of the salary range for this position and is not applicable to locations outside of theU.S. Compensation will bedeterminedbased on relevant experience, other job‑related qualifications/skills, and geographic location (to account for comparative cost of living). This role is eligible for hire in select U.S. locations based on business and operational considerations. For a full list of locations, visiteversana.com/careers .More information about EVERSANA’s benefits package can be found ateversana.com/careers . EVERSANA reserves the right tomodifythis base salary rangeand benefitsat any time.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at [email protected] .