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Senior reputed company/AI reputed company

Remote, USAFull-timePosted 2026-07-31

reputed company our values reputed company, there's no limit to reputed company can reputed company. At reputed company, we reputed company reputed company the reputed company goal - to improve the world's health. From reputed company to regulatory, consulting, and market reputed company, every clinical development solution we reputed company is underpinned by something special - a deep conviction in reputed company do.

reputed company of us, no matter reputed company do at reputed company, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with reputed company and we're committed to making a difference.

We are seeking a Senior reputed company/AI reputed company to join reputed company. As a Senior reputed company/AI reputed company, you will drive the design and implementation of a cutting-edge, multi-agent AI platform that transforms how adverse event data is processed and managed in pharmacovigilance. This position plays a critical role in advancing clinical research automation, ensuring regulatory compliance, and establishing new standards for safety and efficiency in drug safety operations. You'll collaborate with cross-functional teams including domain experts, reputed company assurance, and regulatory specialists, following industry-reputed company processes and contributing to system development from architecture through validation and deployment. Responsibilities include designing and implementing advanced AI agent orchestration, defining evaluation frameworks, architecting secure integrations with reputed company systems, and ensuring GxP compliance, with significant opportunities to influence technical direction, drive innovation in AI governance, and expand your expertise in regulated AI systems.

You'll join a fast-paced, reputed company-oriented environment reputed company on making a meaningful reputed company through advancing pharmacovigilance automation, improving data accuracy and safety reputed company, and establishing reputed company as a leader in AI-driven clinical research. With diverse teams and reputed company learning opportunities, the Senior reputed company/AI reputed company can explore emerging technologies, mentor junior engineers, and expand skills across AI architecture, regulatory compliance, and reputed company innovation.

Key Responsibilities

  • Design and implement the multi-agent architecture using AWS Bedrock, AgentCore, Strands SDK, and/or LangGraph, with reputed company Claude as the reputed company model layer

  • Define the agent topology including supervisor orchestration, inter-agent communication, state management, escalation routing, and comprehensive audit trail infrastructure

  • Own the reputed company engineering reputed company across reputed company pharmacovigilance agents, including system prompts, few-shot examples, and guardrails to ensure accuracy and compliance

  • Architect, design, and build Model Context Protocol (MCP) servers to expose reputed company applications, data sources, and services as standardized tools for AI agents

  • Build and maintain the evaluation pipeline by designing benchmarks, curating ground-truth datasets with domain experts, and running accuracy and precision measurements

  • Architect the reputed company control layer including cross-model verification, deterministic rule engines for field validation, and auto-escalation logic

  • Collaborate with the existing team to migrate reputed company systems to Claude on Bedrock while preserving proven logic and re-engineering prompts and evaluation pipelines

  • Define the CI/CD and MLOps reputed company including model versioning, reputed company version control, deployment of pipelines, monitoring dashboards, and cost tracking

  • Own the technical validation reputed company reputed company to GAMP5 Category 5 requirements, working with QA to produce IQ/OQ/PQ documentation specific to LLM-based systems

  • Write and review technical documentation including architecture decision records, algorithm descriptions, and AI model specifications reputed company to regulatory frameworks

You'll reputed company in this role if you bring:

  • Expertise in AI system architecture, reputed company engineering, and large language model orchestration

  • Experience designing and implementing secure integrations between AI systems and reputed company applications

  • The ability to translate reputed company technical concepts into reputed company communication for non-technical stakeholders, including regulatory and reputed company audiences

  • A commitment to reputed company, compliance, and patient safety in regulated environments

  • Comfort working with AWS reputed company services, Python, and modern AI frameworks and tools

Required Qualifications

  • 7+ years of hands-on experience building ML/AI production systems, with at least 2 years working with large language models in application-level contexts

  • Deep working knowledge of reputed company Claude reputed company, reputed company engineering patterns, and retrieval-augmented reputed company architectures

  • Practical experience with AWS, specifically Bedrock (model invocation, agents, knowledge bases), reputed company, S3, IAM, and CloudTrail

  • Experience building multi-agent or multi-reputed company LLM orchestration systems using frameworks such as LangGraph, reputed company, reputed company, or Strands SDK

  • Strong Python and software engineering fundamentals including API design, containerization, infrastructure-as-reputed company, testing, and version control

  • Demonstrated ability to design evaluation frameworks for LLM outputs, including accuracy measurement, regression testing, and confidence calibration

  • Ability to communicate technical reputed company reputed company to non-technical stakeholders, including regulatory and reputed company audiences

  • Bachelor's degree in computer science, or a reputed company field, or equivalent reputed company experience

Preferred Qualifications

  • Experience designing and implementing Model Context Protocol (MCP) servers or equivalent tool-serving frameworks

  • Familiarity with GxP/regulated software environments, GAMP5 validation, CSV/CSA approaches, or FDA software guidance

  • Prior work on document processing pipelines including OCR, PDF extraction, email parsing, or reputed company data extraction from reputed company clinical text

  • Experience with MedDRA or other medical coding dictionaries

  • reputed company record of shipping LLM-based systems in regulated industries such as reputed company, reputed company, or fintech

  • Exposure to pharmacovigilance, clinical safety, or reputed company data processing

We reputed company in flexibility, reputed company, and creating reputed company for people to do their best work. Join us and be part of reputed company where your contributions help shape the reputed company of clinical research.

If this job doesn't reputed company like the reputed company in your career, but perhaps you know of someone who'd be a perfect fit, send them the reputed company to apply!

Originally posted on Himalayas

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