Sr Architect
Syneos Health (company site, opens in a new tab)5+ yrsHyderabadHybridDirect career pageEst. 28–44 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end AI-enabled solution architecture covering applications, data, models, APIs, cloud services, security, and operations.
- Design AI architectures for scalability, cost-effectiveness, reliability, and operational readiness including telemetry and cost control mechanisms.
- Provide architectural leadership throughout project lifecycle and collaborate across teams to develop reusable patterns and governance standards.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field; Master’s preferred.
- Minimum 5 years experience in software, solution, enterprise, cloud, platform, data, or AI architecture with large-scale system delivery.
- Working knowledge of modern AI architecture including generative AI, MLOps, observability, and responsible AI controls.
- Experience in automation using APIs, workflows, infrastructure or policy as code, platform engineering, or DevSecOps methods.
Ideal Candidate Profile
- Experienced in designing complex, scalable AI solutions and managing architectural trade-offs involving cost, scalability, and compliance.
- Comfortable leading architecture under ambiguity and driving decisions without direct authority, collaborating across business and technical teams.
- Familiar with regulated industries (healthcare/life sciences) and enterprise architecture governance for complex technology environments.