EVERSANA

Sr. AI Developer, Engineering

United States full-time Senior $122,000 - $207,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

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.

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.

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

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

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 Innovate I am bold and creative in everything I do.
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based 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, visit eversana.com/careers. More information about EVERSANA’s benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at 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 .
Follow us on LinkedIn | Twitter
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. 
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT API integration CRM Data Analysis Figma Human Resources Senior level

Likely questions

  1. Tell us about work you have done that is close to the Sr. AI Developer, Engineering role.
  2. How would you approach your first 30 days at EVERSANA?
  3. Which of API integration, CRM and Data Analysis have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, CRM and Data Analysis.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Sr. AI Developer, Engineering role because I can bring practical experience in API integration, CRM and Data Analysis, learn the team quickly, and contribute to the outcomes EVERSANA needs from this hire.

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