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Syneos Health

Global provider of integrated clinical-to-commercial services

Applied AI Architect Senior Director

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Responsibilities

  • Own the reference architecture for Applied AI and Product AI solutions across all three portfolios.
  • Design Generative AI, retrieval-augmented generation, knowledge engineering, and agentic AI solutions through production.
  • Define model selection, prompt, context, and grounding strategies for each use case.
  • Set patterns for retrieval quality, vectorization, and knowledge lifecycle.
  • Validate architecture hands-on with product engineering teams.
  • Curate the catalog of reusable Applied AI building blocks.
  • Ensure solutions compose from approved services rather than duplicating capability.
  • Partner with Enterprise Data, Architecture, and AI platform teams on delivery patterns, including enterprise large language model services, retrieval-augmented generation frameworks, knowledge engineering, orchestration, agentic workflows, and evaluation and observability standards.
  • Define standards, templates, and skills that operationalize the AI product development lifecycle across the software development lifecycle.
  • Architect copilot and AI-assisted development workflows into the toolchain.
  • Set guardrails and quality gates for AI-generated code, tests, and documentation.
  • Define productivity telemetry and value realization metrics.
  • Own the AI design review gate for architecture fit, risk, and reuse before build.
  • Maintain AI governance standards with Data Governance, Security, and Compliance.
  • Ensure teams use organization-approved AI tools, models, and enterprise endpoints.
  • Set evaluation, regression, and drift detection standards for models and prompts.
  • Drive token metering, cached prompts, and context optimization.
  • Meet regulated-industry privacy, auditability, and validation requirements.
  • Serve as a technical advisor to Development, Quality Engineering, and Clinical, Commercial, and Corporate leads.
  • Mentor engineers on AI design, prompt and context engineering, and evaluation.
  • Support build-versus-buy and platform decisions with clear trade-offs.
  • Contribute to insourcing through capability mapping and skill definition.

About the Company

Syneos Health

Global provider of integrated clinical-to-commercial services

Syneos Health provides end-to-end biopharmaceutical solutions across the clinical-to-commercial spectrum. It helps biopharma companies, healthcare organizations, and investors by offering specialized expertise, insights, and technology-enabled services to move therapies faster to patients. Its offerings include Kinetic, a modern omnichannel customer engagement platform that uses targeting and analytics to coordinate nationwide healthcare communications, and Syneos One, an asset development approach that aligns strategy and execution from early concept through commercialization. The company uses AI and advanced tech to improve performance and reduce risk in drug development and market delivery. Its goal is to be a trusted partner that accelerates therapy development and delivery by combining scientific know-how with integrated, data-driven services.

Company size
10,001+
Company stage
IPO
Headquarters
Morrisville, NC
Founded
1985

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