layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Lead AI Engineer at Regeneron Pharmaceuticals

AI Engineering & Intelligent Systems
Lead end-to-end design, development, and deployment of enterprise AI applications and LLM-powered systems, ensuring production-grade quality, security, and scalability.
Design and build AI Agents and autonomous systems using agentic frameworks including LangChain, LangGraph, Strands, and CrewAI, applying ReAct, tool-use, planning, and memory management patterns.
Develop and operate MCP (Model Context Protocol) servers for standardized, secure integration between AI agents and enterprise data sources.
Apply advanced LLM techniques — prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) — to build intelligent, context-aware applications.
Architect and manage vector database solutions (Milvus DB preferred) supporting semantic search, knowledge retrieval, and RAG pipelines.
Architect RESTful APIs that expose AI capabilities to internal platforms and downstream business applications.
LLM & AI Platform Management
Administer and continuously evolve the enterprise LLM and AI Gateway platform, including model routing, access controls, rate limiting, usage observability, and multi-model orchestration.
Evaluate and onboard new foundation models (OpenAI, Anthropic, AWS Bedrock, and others) in alignment with enterprise security and compliance standards.
Technical Leadership & Team Management
Lead, mentor, and manage a team of AI engineers, conducting code reviews, setting technical standards, and fostering a culture of engineering excellence.
Contribute to the organization’s AI roadmap through architectural design reviews, technical strategy, and proof-of-concept development.
Troubleshoot complex issues across AI model serving, APIs, and platform layers.
Cross-Functional Collaboration & Stakeholder Engagement
Partner with business units, data scientists, and clinical research teams to identify AI opportunities and translate them into scalable technical solutions.
Serve as the primary technical point of contact for enterprise AI platform discussions, presenting findings and recommendations to senior leadership.
Engage with external vendors, cloud providers, and AI research organizations to evaluate and integrate emerging capabilities.

Education
Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field.
Experience
7–10 years of progressive software and AI engineering experience, with at least 3 years in a technical lead or senior individual contributor role.
Expert-level Python development skills, including production REST API development with FastAPI.
Proven hands-on experience building AI Agents, MCP Servers, and LLM-powered applications using frameworks such as LangChain, LangGraph, Strands, or CrewAI.
Hands-on experience with vector databases (Milvus DB preferred) for RAG and semantic search pipelines.
Experience administering LLM API gateway platforms, including model routing, observability, access governance, and multi-model orchestration.
Experience with foundation models from OpenAI, Anthropic, AWS Bedrock, and other major providers.
Working knowledge of AWS cloud services relevant to AI workloads (SageMaker, Bedrock, EKS, Lambda, S3); Kubernetes and CI/CD experience is a plus.
Experience in the biotechnology, pharmaceutical, or healthcare industry preferred.
Technical Competencies
Programming: Python (expert-level).
AI Frameworks & Runtimes: LangChain, LangGraph, Strands, CrewAI; AWS Bedrock AgentCore.
LLM Techniques: Prompt engineering, fine-tuning, RAG, vector databases (Milvus DB preferred).
AI Platform: LLM Gateway management, model routing, multi-model orchestration, TensorFlow, PyTorch.
API Development: RESTful API design, FastAPI, OpenAPI/Swagger.
Cloud & Infrastructure (supporting): AWS (SageMaker, Bedrock, EKS, Lambda, S3), Kubernetes, Docker, Terraform, CI/CD pipelines.
Data & Analytics: Databricks, Dataiku, Postgres, Redis, NoSQL databases.
Observability: Monitoring, logging, and distributed tracing for AI workloads.
Certifications
Required: AWS Certified Machine Learning – Specialty
Nice to Have: AWS Certified Solutions Architect – Professional
Certified Kubernetes Administrator (CKA)
Soft Skills & Leadership
Exceptional communication skills with the ability to present AI concepts to both engineering teams and executive stakeholders.
Proven track record of leading engineering teams and managing delivery across cross-functional groups.
Strong problem-solving mindset with a bias toward pragmatic, production-ready AI solutions.
Collaborative and proactive in engaging with business units, compliance, and external partners.
Joining Regeneron as a Lead AI Engineer offers a unique opportunity to shape enterprise AI strategy, build transformative platforms, and make a meaningful impact on the advancement of global healthcare. If you are a driven technical leader with deep expertise in AI systems and a passion for innovation in a regulated environment, we invite you to apply. Please copy and paste the desired job description for this role here. If you need a copy of an existing job description please reach out to TA or work with your HR Business Partner to develop one for a new role.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/ . For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.

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