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Syneos Health Commercial Solutions · 1 month ago

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

New York, NY

Full-time

Hybrid

Senior Level

$229K/yr - $270K/yr

7+ years exp

Syneos Health Commercial Solutions is focused on building human-in-the-loop AI solutions in a collaborative environment. The role of Commercial Life Sciences Solution Architect involves designing and selling AI solutions tailored to pharmaceutical leaders, with a focus on improving patient engagement and operational efficiency.

Biotechnology

Responsibilities

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/ 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/AgenticOps best practices

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

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 (i.e. Value & Access, Sales Operations, Brand Strategy, Digital Health, Patient Services) to evolve scalable agentic solutions

Qualification

AI architectureHealthcare experienceGenerative agentic AIMicroservicesPythonMLOpsPatient engagement toolsCloud platformsCommunication skillsProblem solving

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)

3+ years Consulting Experience

3+ years carrying a minimum of $1 Million Sales Quota

Strong AI architecture & deployment know-how: Microservices, REST APIs, CI/CD data pipelines, cloud platforms

MCP, RAG, AgentDNS, A2A Protocol, AI workflow automation, AI Memory Management, LLM Evaluation & Observability, Autonomous Planning & Reasoning, Custom Embeddings & Vector Search

Skilled in Python, prompt engineering, LLM integration, and tool-based agent frameworks (e.g. LangChain, Semantic Kernel)

Expertise in standards: HIPAA, FHIR/HL7, GxP, FAIR