Principal AI Solution Engineer / AI Architect
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Job Responsibilities
Role Summary
We are seeking a Principal AI Solution Engineer / AI Architect with a minimum of 8 years of overall technology experience and a strong record of designing and delivering multiple production-grade AI solutions. This is a hands-on technical leadership role responsible for shaping enterprise AI architecture, translating business needs into scalable solutions, and guiding engineering teams from experimentation through secure production deployment.
The ideal candidate combines deep expertise in Azure AI Foundry, Azure OpenAI, Azure AI Search, retrieval-augmented generation (RAG), and agent-based systems with strong enterprise integration skills across REST APIs, Oracle Database, Oracle APEX, and the Microsoft ecosystem. The role requires sound architectural judgement, practical engineering depth, stakeholder influence, and the ability to establish reusable patterns for responsible AI adoption.
Key Responsibilities
Own the end-to-end architecture and technical delivery of enterprise AI solutions, from discovery and proof of concept through production rollout and continuous improvement.
Partner with business, product, data, security, infrastructure, and engineering stakeholders to identify high-value use cases, define measurable outcomes, and select the appropriate AI solution pattern.
Design secure, scalable, reliable, and cost-conscious solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and appropriate agent frameworks.
Architect RAG solutions, including document ingestion, chunking, embeddings, vector indexing, hybrid retrieval, reranking, grounding, citation, and response-generation strategies.
Design AI agents and agentic workflows using tool calling, orchestration, state and memory patterns, guardrails, exception handling, and human-in-the-loop approvals.
Integrate AI capabilities with enterprise applications and data sources through REST APIs, Oracle Database, Oracle APEX, and Microsoft ecosystem services.
Establish reference architectures, reusable components, engineering standards, prompt patterns, evaluation methods, and deployment practices for AI solutions.
Define and implement controls for responsible AI, data privacy, security, access management, content safety, auditability, and regulatory or organizational…