Job Title: Solution Architect – AI in Digital Health
As a Solution Architect at the intersection of AI and healthcare, you’ll be tackling some of the most critical challenges in digital health today. You’ll design groundbreaking AI solutions that directly impact patient care, improving outcomes and revolutionizing how patients engage with their treatment. In this role, you’ll face complex problems, from integrating AI systems into large-scale pharma platforms to ensuring compliance with rigorous healthcare standards. You'll need to think strategically, collaborate across diverse teams, and create innovative solutions that make a real difference in people’s lives. If you're passionate about shaping the future of healthcare through AI, this is the place where you can turn visionary ideas into reality.
Role Overview
We are looking for a Solution Architect to design and implement AI-driven solutions for our pharmaceutical clients.
Key Responsibilities
- Pre-sales & Advisory: Work with our consulting teams to identify client needs, present solutions, and support sales activities (RFPs, demos, workshops).
- Solution Design: Architect AI systems (autonomous agents, patient engagement tools) and integrate them into pharma platforms (EHRs, CRMs, patient portals).
- Implementation & Leadership: Oversee the design, build, and deployment of AI tools, collaborating with engineers to ensure successful delivery.
- Client Engagement: Serve as a trusted advisor to pharma leaders, presenting technical solutions and ensuring alignment with client goals.
Required Qualifications
- 7+ years as a Solution Architect or Consultant with AI experience, including 3+ years in generative agentic AI.
- 5+ years in healthcare or pharma, with experience in systems like EHRs or clinical workflows.
- Strong knowledge of AI architecture, including microservices, cloud platforms, and AI workflow automation.
- Experience with healthcare standards such as HIPAA, GxP, and FHIR.
- Proven ability to engage with senior executives and carry significant sales targets.
Preferred Skills
- Experience with multi-agent AI frameworks and MLOps for AI systems.
- Background in patient engagement tools or digital health solutions.
- Expertise in clinical trials, pharmacovigilance, or patient support services.
Why Join Us
- Be part of a collaborative team focused on patient outcomes.
- Opportunity to work on cutting-edge AI technology in healthcare.
- Career growth, mentorship, and impact-driven work.
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