Principal Engr Platform/Cloud Engineering
About The Position
Johnson & Johnson Innovative Medicine Research & Development is seeking a Principal Engineer for its R&D Advanced Computing group, which focuses on AI Native Drug Discovery. The role is part of an engineering organization delivering technology solutions for the Innovative Medicine R&D business. Team members work closely with business partners throughout solution delivery, including defining business value, gathering user stories, designing architectures, and implementing technical solutions. The Principal Engineer will provide technology leadership, influence technology strategy and roadmaps, and architect, implement, and deploy solutions for the AI Native Drug Discovery ecosystem and related disciplines. The role includes developing and operationalizing cloud-based generative and agentic AI platforms and reusable capabilities that accelerate drug discovery, while helping deliver high-performing, scalable, reusable, and cost-optimized solutions across R&D. The position may be based in Spring House, Pennsylvania; Raritan, New Jersey; Beerse, Belgium; Leiden, Netherlands; Madrid, Spain; Maidenhead, United Kingdom; or remotely, as described in the posting. The anticipated base pay range is $102,000–$175,950. The posting describes company-sponsored medical, dental, vision, life and disability insurance, business accident and group legal insurance, pension and 401(k) plans, and paid leave programs, subject to the terms of the applicable plans and policies.
Requirements
- Bachelor’s degree in Computer Science, Bioinformatics, Computational Science, or a related field and at least 6 years of industry experience; or a master’s degree in one of these fields and at least 4 years of industry experience.
- Proven ability to lead technology platforms, programs, and projects, and apply technical expertise to create new opportunities.
- Experience with Python, Java, C++, or a related complex programming language.
- Experience with AWS EC2 and S3, AWS RDS, and AWS Lambda.
- Hands-on experience implementing GraphQL APIs.
- Experience with visualization technologies and techniques.
- Experience with Docker, Singularity, or Kubernetes container functionality and AWS EKS.
- Experience with GPUs for computational sciences, advanced AI/ML/deep learning image analysis, or predictive model training.
- Experience with high-performance storage solutions.
- Experience with Windows and Linux platform functionality.
- Experience with technical vendor management.
- Experience working on cross-functional, global teams and in a fast-paced, collaborative environment.
Nice To Haves
- Experience building generative or agentic AI solutions with AWS Bedrock, Anthropic Claude, or similar foundation models.
- Experience with agent frameworks and RAG architectures, such as LangChain, LangGraph, LlamaIndex, Strands, or vector databases.
- Familiarity with management and analysis technologies used in drug discovery.
- Experience with Chef for configuration management.
- Experience implementing GxP projects.
- Experience with Agile methodology.
- Experience with high-performance computing cluster technologies such as Grid Engine or Slurm.
- Experience with other major cloud providers, such as Microsoft Azure and Google Compute Engine.
Responsibilities
- Contribute to technology strategy and roadmaps, and lead and implement technology deployments for AI Native Drug Discovery and related disciplines.
- Maintain partnerships with business partners in Therapeutics Discovery, Therapeutic Areas, Data Sciences, and other groups based on demand.
- Provide technology expertise to identify and assess high-impact opportunities for AI Native Drug Discovery platforms in pharmaceutical R&D, and execute platform capabilities.
- Collaborate across IT, engage and influence sector and enterprise technology leadership, and partner with the Life Sciences industry community.
- Drive the technology stack, including scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility capabilities.
- Use cloud computing to deliver effective solutions and establish sustainable long-term operational processing and resource models.
- Assess and incorporate technologies such as containerization, serverless, and accelerated AI, machine learning, deep learning, and agentic AI where they deliver business value.
- Design and develop generative and agentic AI platforms, including LLM-powered applications, autonomous and multi-agent workflows, retrieval-augmented generation, and model orchestration for drug discovery workflows.
- Build and operationalize cloud solutions on AWS or Azure using foundation models, and establish reusable patterns for prompt engineering, tool/function calling, agent orchestration, evaluation, and responsible AI guardrails.
- Provide technology leadership and support, develop, and motivate junior team members.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short- and long-term disability insurance
- Business accident insurance
- Group legal insurance
- Company pension plan
- 401(k) savings plan
- Vacation: 120 hours per calendar year
- Sick time: 40 hours per calendar year; 56 hours per calendar year for Washington residents
- Holiday pay, including floating holidays: 13 days per calendar year
- Work, Personal and Family Time: up to 40 hours per calendar year
- Parental leave: 480 hours within one year of a child’s birth, adoption, or foster care placement
- Condolence leave: 30 days for an immediate family member and 5 days for an extended family member
- Caregiver leave: 10 days
- Volunteer leave: 4 days
- Military spouse time off: 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Principal
