Parexel
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India (+3 Others) · On-site · 7-10 Yrs · Sep 26
Biotech & Pharmaceuticals · 10000+ Employees · Raleigh, US
Parexel is a leading global clinical development partner providing insights-driven Clinical and Consulting solutions to the world’s life sciences industry. Our 22,000+ professionals design and deliver clinical trials with the patient in mind and With Heart®. Recruitment Fraud Alert It has been brought to our attention that there has been fraudulent activity by scammers attempting to represent themselves as Parexel employees or recruiters. These individuals are attempting to reach potential job seekers through online chat interviews and sending false offer letters, representing Parexel without our consent. If you’re concerned that you’ve been contacted by an unauthorized Parexel recruiter or employee, please notify Jobs@Parexel.com. You may also report suspicious fraudulent activity to your local law enforcement agency. Thank you.
Hiring: Engineering
What employees say
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Interview experience · Drug Safety Associate
The interview process consists of three rounds. Round 1 is a virtual interview conducted through Doselect, followed by Round 2, which is also conducted virtually via Doselect. Candidates who successfully clear both round
Easy difficulty · India · 172 reports
More interview insightsJob description
Overview
We are seeking a Senior AI Engineer/AI Lead to join our team.
Responsibilities
- Design and implement the multi-agent architecture using AWS Bedrock, AgentCore, Strands SDK, and/or LangGraph, with Anthropic Claude as the foundation model layer
- Define the agent topology including supervisor orchestration, inter-agent communication, state management, escalation routing, and comprehensive audit trail infrastructure
- Own the prompt engineering strategy across all 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 enterprise 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 quality control layer including cross-model verification, deterministic rule engines for field validation, and auto-escalation logic
- Collaborate with the existing team to migrate current systems to Claude on Bedrock while preserving proven logic and re-engineering prompts and evaluation pipelines
- Define the CI/CD and MLOps strategy including model versioning, prompt version control, deployment of pipelines, monitoring dashboards, and cost tracking
- Own the technical validation strategy aligned 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 aligned to regulatory frameworks
- Expertise in AI system architecture, prompt engineering, and large language model orchestration
Qualifications
- The ability to translate complex technical concepts into clear communication for non-technical stakeholders, including regulatory and quality audiences
- A commitment to quality, compliance, and patient safety in regulated environments
- Comfort working with AWS cloud services, Python, and modern AI frameworks and tools
- 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 Anthropic Claude APIs, prompt engineering patterns, and retrieval-augmented generation architectures
- Practical experience with AWS, specifically Bedrock (model invocation, agents, knowledge bases), Lambda, S3, IAM, and CloudTrail
- Strong Python and software engineering fundamentals including API design, containerization, infrastructure-as-code, 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 decisions clearly to non-technical stakeholders, including regulatory and quality audiences
- Bachelor's degree in computer science, or a related field, or equivalent professional experience
- 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 structured data extraction from unstructured clinical text
- Track record of shipping LLM-based systems in regulated industries such as pharma, healthcare, or fintech
- Exposure to pharmacovigilance, clinical safety, or healthcare data processing
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Job application FAQ
Last updated 28 September 2026
- How do I apply for Senior AI Engineer/AI Lead at Parexel?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Parexel may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Engineer/AI Lead remote or on-site in India (+3 others)?
- This listing is marked on_site with location India (+3 others). Confirm details on the job description before applying.
- What skills matter for this Senior AI Engineer/AI Lead role at Parexel?
- This is a lead Senior AI Engineer/AI Lead role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.