Additionalinformation

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 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.

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.

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Companydescription

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, 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. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Jobdescription

Job Description

The AI Solutions Engineer is the hands-on builder of the AI Hub Center of Excellence. Where the AI Engineering & Enablement Lead sets architecture and governance, this role turns that direction into working, production-grade agents and AI workflows that ride on EVERSANA's enterprise AI stack (GCP, Vertex AI, Claude, Gemini Enterprise).

This engineer productionizes enterprise AI tooling for Patient Services use cases, builds the reusable patterns other teams depend on, and integrates AI into the Salesforce, MuleSoft, and Java touchpoints of our SDLC. It is a deep technical role for someone who wants to build real AI systems in a regulated healthcare environment, not just experiment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Agent & Workflow Development

• Design and build AI agents on Vertex AI Agent Builder, the Claude API, and Gemini Enterprise.
• Productionize enterprise AI tooling for priority Patient Services use cases: intake automation, missing-information workflow, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims.
• Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows against Patient Services data.
• Implement MCP server integrations and agent tool/function definitions that expose enterprise systems to agents safely.

Integration & SDLC

• Integrate AI capabilities into Salesforce Health Cloud (Apex, LWC), MuleSoft (DataWeave), and Java SDLC touchpoints.
• Build reusable prompt templates and agent patterns that the broader engineering team can adopt.
• Contribute to the shared prompt/pattern library with quality-reviewed, version-controlled components.

Lifecycle & Quality

• Own the agent lifecycle end to end: build, deploy, monitor, evaluate, and retire.
• Establish evaluation harnesses so agents are tested against defined quality bars before production.
• Review AI-generated code produced by Salesforce, MuleSoft, and Java developers, ensuring it meets ACTICS quality standards.
• Monitor deployed agents for drift, cost, latency, and accuracy; remediate as needed.

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

• 5+ years in software engineering, with hands-on experience building production systems.
• Advanced Python; competence in JavaScript/TypeScript.
• Direct experience with a cloud AI platform (Vertex AI strongly preferred) and its SDK.
• Demonstrated prompt engineering and LLM application development with Claude, Gemini, or equivalent models.
• Practical experience with RAG, vector databases, embeddings, and retrieval design.
• Familiarity with agent orchestration frameworks (CrewAI, LangChain, LangGraph, or Vertex Agent Builder).
• Experience integrating with REST/GraphQL APIs; Salesforce and/or MuleSoft integration experience a strong plus.
• Comfortable working on a follow-the-sun model with an onshore lead.

Preferred Qualifications

• Experience with MCP (Model Context Protocol) servers and agent tooling standards.
• Background in healthcare or life-sciences technology; awareness of PHI/HIPAA constraints.
• Salesforce (Apex/LWC) or Java development experience.
• Experience with BigQuery, PostgreSQL, or comparable data platforms.

Tools & Stack

• AI: Vertex AI Agent Builder, Claude API, Gemini Enterprise API.
• Orchestration: CrewAI, LangChain, LangGraph.
• Dev productivity: Claude Code, Cursor, GitHub Copilot.
• Data & cloud: GCP, BigQuery, PostgreSQL, vector stores.

First-Year Success Measures

• Intake Automation MVP and at least two additional AI workflow MVPs built and shipped to one or more programs.
• Reusable agent patterns and prompt library established and adopted by other engineers.
• Agent evaluation and monitoring practices operational for every production agent.