Senior AI Python Technical Lead

Merck KGaA · Remote · Remote

$127k - $190k

Full-Time

Job description

Senior AI & Python Technical Lead

We are looking for an experienced Senior AI & Python Technical Lead to lead the design, architecture, and delivery of enterprise-scale AI, Generative AI, and cloud-native solutions. This role requires a strong technical leader with team management experience, capable of driving solution architecture, mentoring engineers, stakeholder engagement, technical governance, and end-to-end delivery of production-grade AI platforms.

Your Role

Lead and mentor AI Engineers, Python Developers, ML Engineers, Data Engineers, MLOps Engineers, Cloud Engineers, and Solution Architects.

Own technical architecture, technology strategy, engineering standards, and solution delivery.

Drive AI innovation, PoCs, reusable frameworks, enterprise AI adoption, and platform modernization.

Engage with business stakeholders and lead cross-functional teams to deliver scalable, secure, and high-performing AI solutions.

Establish engineering best practices across AI, software engineering, DevOps, cloud, and MLOps.

Who You Are:

Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering or a related discipline.

At least 10 years of hands-on experience in Python software engineering and enterprise application development.

At least 5 years of experience designing, developing and deploying production-grade AI/ML and Generative AI solutions.

At least 3 years of experience architecting Retrieval-Augmented Generation (RAG), Agentic AI and enterprise AI platforms.

Proven experience leading technical teams as a Technical Lead, AI Engineering Manager, Principal Engineer or Solution Architect.

Experience delivering enterprise AI platforms on AWS or other major cloud providers.

Strong experience in stakeholder management, engineering governance, solution architecture and large-scale Agile delivery.

Technical Skills

Programming & Backend

Python, SQL, NoSQL

FastAPI, Flask, Django

REST APIs, GraphQL, Microservices, Distributed Systems

PyTorch, TensorFlow, Scikit-learn

Hugging Face Transformers

LangChain, LlamaIndex, DSPy

Generative AI

LLMs, RAG, GraphRAG

AI Agents, Multi-Agent Systems

Prompt Engineering, Context Engineering

Embeddings, Semantic Search, Hybrid Search

Agent Frameworks

LangGraph

CrewAI

Microsoft AutoGen

LangChain Agents

Vector Databases

Pinecone, Qdrant, Weaviate

ChromaDB, Milvus, FAISS

LLMOps & Evaluation

LangSmith, Ragas, DeepEval

OpenAI Evals, MLflow

Model Monitoring, Prompt Lifecycle Management, AI Observability

AI Security & Governance

NeMo Guardrails, Llama Guard, Amazon Bedrock Guardrails

Prompt Injection Protection, PII Protection, Responsible AI, AI Governance

Cloud & AI Platforms

AWS Bedrock, SageMaker

ECS, EKS, Lambda, API Gateway

EC2, S3, DynamoDB, OpenSearch

EventBridge, Step Functions, CloudWatch, IAM

DevOps & MLOps

Docker, Kubernetes

Terraform, Jenkins

GitHub Actions, ArgoCD

CI/CD, GitOps, Model Deployment, Infrastructure as Code

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