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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 workplace, 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.