Sr Architect

Role overview

AI solution architecture

• Design for production scalability, resilience, performance, interoperability, maintainability, portability, and reuse.
• Define practical patterns for generative AI, machine learning, intelligent workflows, agentic automation, retrieval and context, tool integration, human oversight, and exception handling when relevant.

Scalability and operational readiness

• Assess model usage, tokens, compute, storage, data movement, licensing, vendor services, and support effort as cost drivers.
• Create cost and capacity scenarios for prototype, launch, and scaled adoption; recommend models, hosting, caching, routing, batching, quotas, and scaling controls.
• Embed telemetry, usage metering, cost attribution, budgets or thresholds, performance monitoring, quality evaluation, and operational alerts into solution designs.
• Partner with platform, FinOps, operations, and product stakeholders on ownership, service expectations, support models, lifecycle controls, and continuous optimization.
• Evaluate build, buy, reuse, and retire options using value, cost, architecture fit, delivery risk, security, compliance, vendor dependency, and operability.

Automation advancement

• Identify automation opportunities across Enterprise Architecture and Enterprise Technology & Platforms to streamline complex technical service delivery.
• Design reusable workflows, APIs, events, templates, policy-as-code, architecture-as-code, and paved-road patterns.
• Lead proofs of value and production pilots with hypotheses, success measures, guardrails, and exit criteria; turn validated learning into reusable patterns, standards, or scaled plans.
• Promote human-centered automation with appropriate review, accountability, transparency, and fallback paths for material decisions.

About Syneos Health

Requirements

• Translate business outcomes, functional and non-functional requirements, and regulatory obligations into architecture options, technical designs, and implementation guidance.
• Design solutions for production scalability, resilience, performance, interoperability, maintainability, portability, and reuse.
• Assess consumption drivers and develop cost and capacity scenarios, including cost-performance-quality trade-offs.
• Build operational readiness into solution designs, including telemetry, cost attribution, budgets or thresholds, performance monitoring, quality evaluation, and alerts.
• Evaluate build, buy, reuse, and retire options based on business value, total cost, architecture fit, risk, security, compliance, vendor dependency, and operability.
• Lead focused proofs of value and production pilots with hypotheses, success measures, guardrails, and exit criteria.