# Sr. Architect, AI Enablement & Automation (GenAI, Agentic AI, RAG, LLMOps, Azure/AWS)

**Company**: Syneos Health
**Location**: IND-Hyderabad-Hybrid
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/IND-Hyderabad-Hybrid/Sr-Architect_25109804?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_04f55fe6-dd1

## Description

Syneos Health is seeking a Sr. Architect, AI Enablement & Automation to lead end-to-end architecture for assigned AI-enabled and automation initiatives.

**Job Responsibilities**

- Lead end-to-end architecture for assigned AI-enabled and automation initiatives, spanning applications, data and knowledge, models, orchestration, agents, APIs, integration, cloud services, identity, security, observability, and operations.

- Translate business outcomes, functional needs, non-functional requirements, and regulatory obligations into architecture options, technical designs, and implementation guidance.

- Design for production scalability, resilience, performance, interoperability, maintainability, portability, and reuse, including workload sizing, capacity assumptions, failure modes, service limits, and operational dependencies.

- Define and develop practical patterns for generative AI, machine learning, intelligent workflows, agentic automation, retrieval and context, tool integration, human oversight, and exception handling when relevant to the project.

**AI scalability, economics & operational readiness**

- Make cost a first-class architecture concern by assessing consumption drivers such as model usage, tokens, compute, storage, data movement, licensing, vendor services, and support effort.

- Create cost and capacity scenarios for prototype, launch, and scaled adoption; identify material cost-performance-quality trade-offs; and recommend fit-for-purpose models, hosting patterns, caching, routing, batching, quotas, and scaling controls.

- Embed telemetry, usage metering, cost attribution, budgets or thresholds, performance monitoring, quality evaluation, and operational alerts into the solution design so teams can make evidence-based scale, optimize, or stop decisions.

**Automation advancement across core technology**

- Identify and shape high-value automation opportunities across Enterprise Architecture and Enterprise Technology & Platforms, to streamline, simplify and elevate intelligence related to complex technical service delivery processes.

- Advance automation-as-a-capability by designing reusable workflows, APIs, events, templates, policy-as-code, architecture-as-code, and paved-road patterns that reduce manual effort and improve consistency.

**Architecture governance, security & responsible AI**

- Apply enterprise architecture principles, approved technology standards, security and privacy requirements, data governance, responsible AI expectations, and regulatory controls throughout the delivery lifecycle.

- Apply project guardrails for data handling, model and provider use, identity and access, content safety, prompt and configuration management, intellectual property, auditability, evaluation, monitoring, human oversight, and incident response.

**Delivery leadership, collaboration & knowledge transfer**

- Provide architectural leadership at the project level throughout discovery, planning, design, backlog refinement, implementation, testing, release, and transition to operations; remain engaged to validate that delivered solutions conform to approved architecture.

- Collaborate closely with solution architects, engineers, data teams, platform teams, security, operations, product managers, program leaders, and business stakeholders to resolve cross-domain decisions and delivery constraints.

**QUALIFICATION REQUIREMENTS**

- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; master’s degree preferred.

- Minimum of 5 years of experience in software, solution, enterprise, cloud, platform, data, or AI architecture, with demonstrated delivery of large-scale or business-critical systems.

- Experience designing and guiding complex solutions across cloud, applications, data, APIs, integrations, security, and operational environments.

- Working knowledge of modern AI architecture, including generative AI, model and provider selection, retrieval and context patterns, agents and tool use, MLOps or LLMOps, evaluation, observability, and responsible AI controls.

## Skills

### Required
- Generative AI
- Agentic AI
- RAG
- LLMOps
- Azure
- AWS
- Cloud Architecture
- Solution Architecture
- Enterprise Architecture
- Data Science
- Machine Learning
- Intelligent Workflows
- Automation
- API Integration
- Security
- Observability

### Nice to have
- Experience in a regulated industry
- Healthcare
- Life Sciences
- Clinical and commercial technology environments
- Enterprise architecture methods
- Product operating models
- Agile delivery
- Architecture decision records
- Technology governance
- Portfolio or lifecycle management

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Source: [Apply at syneoshealth.wd12.myworkdayjobs.com](https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/IND-Hyderabad-Hybrid/Sr-Architect_25109804?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)