EVERSANA AI Solutions Engineer Hiring Now Pune 2026
| Company | EVERSANA |
| Location | Pune |
| Experience required | Not specified in the listing |
| Salary | Not specified in the listing |
| Employment type | Full time |
| Posted on | 6 November 2026 |
| Apply before | 6 December 2026 |
If you are a developer with a deep interest in the intersection of Generative AI and enterprise-scale problem solving, EVERSANA is currently looking for an AI Solutions Engineer to join their operations in Pune. This role is positioned as the primary builder within their AI Hub Center of Excellence. While the architecture and high-level governance are defined by the AI Engineering & Enablement Lead, the core responsibility of this position is to bridge the gap between abstract concepts and functional, production-ready AI agents.
Working at EVERSANA means you will be operating within their established enterprise AI ecosystem. Specifically, you will be utilizing Google Cloud Platform (GCP) and Vertex AI as your primary sandbox. The role involves heavy interaction with advanced models like Claude and Gemini Enterprise. Your daily tasks will revolve around productionizing AI tooling, specifically tailored for Patient Services use cases. Beyond just shipping code, you are expected to construct reusable patterns that other internal teams can leverage, which suggests that your work will have a significant impact on how the company scales its AI capabilities across different departments.
The position is strictly a hands-on engineering role. It requires someone who can take a technical roadmap and translate it into robust workflows that don't just work in a testing environment but are reliable enough to serve patient services at scale. You aren't just experimenting here; you are building the infrastructure that powers the company's long-term AI strategy. Given the focus on Agentic AI, expect to spend a considerable amount of time configuring multi-step reasoning chains and integrating these models into existing enterprise systems.
The HiringPulse take
This role is a clear signal that EVERSANA is moving beyond "proof of concept" AI projects and entering a phase of operational hardening. Shortlisting for this role will likely favor candidates who have a portfolio demonstrating not just API calls to OpenAI or Anthropic, but actual deployments involving Vertex AI or similar enterprise stacks. You need to show that you understand the "productionization" cycle—latency management, security, and model orchestration.
The urgency here is high because they are building a "Center of Excellence," meaning they need someone who can work autonomously without needing their hand held through architectural decisions. However, a reason to skip this role is if you prefer pure research or creative prompting work; this is a heavy engineering role. If you dislike the constraints of highly regulated healthcare data environments or prefer building consumer-facing apps over enterprise backend workflows, this may not be the right cultural or technical fit for your career trajectory.
Frequently Asked Questions
What is the primary tech stack for this role?
The role centers on the Google Cloud Platform (GCP) environment, specifically leveraging Vertex AI alongside Claude and Gemini Enterprise models.
Is this role focused on research or implementation?
This is primarily an implementation and engineering role. You will be responsible for turning architectural designs into production-grade AI agents and reusable workflows.
What domain will the AI solutions be applied to?
The focus of these AI solutions is specifically on Patient Services use cases within the EVERSANA enterprise ecosystem.
How to apply
- Open the official listing using the link below.
- Check the eligibility and location details on the employer's page before applying — they are the authority, not this post.
- Submit your application with an updated resume tailored to the role.
🔗 Apply for EVERSANA AI Solutions Engineer Hiring Now Pune 2026
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