Architect / Principal AI ML Engineer (AI)

TL;DR

Architect / Principal AI ML Engineer (AI): Setting the technical direction and blueprint for scalable AI solutions across multiple domains with an accent on Gen AI, Agentic AI, and MLOps. Focus on designing RAG systems, integrating LLMs into enterprise applications, and defining end-to-end AI architectures.

Location: Must be based in the United States (Remote/Hybrid)

Company

A global professional services firm that helps clients build cutting-edge software products through a remote-first, collaborative approach.

What you will do

• Define end-to-end architecture for AI/ML, Gen AI, Agentic AI, and MCP systems, including data pipelines and model training.
• Serve as a strategic consultant to clients, leading solution design and driving AI innovation.
• Architect scalable solutions utilizing cloud-native tools such as Azure ML, AWS SageMaker, or GCP Vertex AI.
• Lead the integration of LLMs (OpenAI, Gemini, Llama) into enterprise features via APIs or open-source models.
• Design retrieval-augmented generation (RAG) systems with vector databases like Pinecone, Weaviate, or FAISS.
• Guide technical teams on MLOps frameworks for CI/CD, model versioning, and automated retraining.

Requirements

• Location: Must be based in the United States.
• Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• 15+ years of industry experience in machine learning, data science, and AI.
• Deep proficiency in Python and ML libraries including PyTorch, TensorFlow, and scikit-learn.
• Hands-on experience with Gen AI APIs, prompt engineering, embeddings, and fine-tuning.
• Expertise in enterprise AI systems with MLOps (MLflow, Kubeflow) and containerization (Docker, Kubernetes).

Nice to have

• Strong understanding of integrating AI/ML components into full software product development lifecycles.
• Experience managing and processing massive datasets in production environments.
• A track record of published research in top-tier journals or conferences.

Culture & Benefits

• Remote-first approach with a flexible work environment (home, office, or a blend).
• Collaboration within a global team, working across different cultures in English.
• Comprehensive wellbeing program focusing on fitness and mental health plans.
• Accelerated career growth opportunities via a professional services model.
• Inclusive culture committed to diversity, intrinsic dignity, and open collaboration.