Commercial Life Sciences Solution Architect – AI; Pharma, Digital Health & Patient Engagement

Updated: October 24, 2025

Location: New York, NY, United States

Job :12210

We’re not just building AI—we’re building human‑in‑the‑loop solutions within a collaborative, patient‑first environment.

We believe learning never stops. Our team benefits from structured career paths, internal mentorship, and opportunities to expand into new roles—from technical deep‑dives to leadership or strategic advisory.

Collaboration is in Our DNA. We thrive on cross‑functional teamwork. At Syneos, teams co‑create across business, tech, and patient advocacy, enabling faster innovation and deeper alignment with patient needs. Everything we build exists to improve patient outcomes. Our mission of empowering employees to deliver better care for patients, not just better digital health tools, means you will design AI‑powered patient companions, patient engagement tools, and other digital health tools that directly touch real people—helping us live our purpose every day.

You are a visionary builder & problem solver—equally comfortable designing prototypes and MVPs as well as presenting to board‑level sponsors. You thrive at the intersection of AI, healthcare, and business strategy. With your deep technical grounding and industry experience, you’ll architect transformative AI solutions that genuinely improve patient engagement and deliver measurable value to pharma organizations.

We're seeking an experienced Solution Architect to spearhead the design and sale of agentic AI solutions tailored to pharmaceutical leaders in digital health. You will combine deep technical expertise in autonomous AI agents with strategic understanding of pharma workflows—focusing on patient services, engagement, and digital companions. Your mission: translate complex business needs into transformative AI deployments that elevate patient experience and operational efficiency.

• Collaborate with commercial advisory consulting teams to identify new opportunities, tailor solutions to client needs, and accelerate adoption of our data products.
• Support pre‑sales activities, including RFP responses, solution demos, stakeholder workshops, and technical presentations to prospects and existing clients.
• Present architectural strategies, tenets and product/architecture roadmaps to senior pharmaceutical executives, aligning solutions with budgetary constraints, business and commercial goals.
• Develop data architecture designs, data governance and data architecture frameworks, technical approaches, technical scope and partner with engineers on building accelerators, MVPs and demos.
• Define end‑to‑end architecture for agentic AI systems (planning, memory, reasoning, multi‑agent orchestration).
• Integrate with existing pharma platforms: EHRs, CRMs, clinical trial systems, patient portals, ensuring compliance with standards (FHIR, GxP, HIPAA, FAIR).
• Establish guardrails, escalation pathways, observability, and LLMOps/Agentic Ops best practices.
• Technical Leadership & Implementation
  • Prototype and oversee design, build and deployment of agentic AI pilots (e.g. Personalized Patient Outreach, Medication Adherence & Side Effect Management, Prediction Model for disease progression).
  • Collaborate with cross‑functional teams—product, engineering, MLOps—to operationalize data pipelines, microservices, and agent orchestration layers.
  • Ensure robust MLOps pipelines with model monitoring, drift detection, and responsible AI governance.
• Client Engagement & Thought Leadership
  • Serve as trusted technical advisor to pharma stakeholders (VP, SVP Digital Health, Patient Engagement) during pre‑ and post‑sales.
  • Present architecture blueprints, ROI frameworks, risk assessments, and compliance strategies.
  • Capture feedback and collaborate with Life Sciences Commercial teams (Value & Access, Sales Operations, Brand Strategy, Digital Health, Patient Services) to evolve scalable agentic solutions.

Required

• 7+ years as a Solution Architect/Consultant creating AI‑powered systems, with 3+ years experience in generative agentic AI.
• 5+ years in healthcare or pharma, implementing enterprise systems (EHR, clinical workflows, patient applications).
• Strong AI…