AI/ML Architect

AI/ML Architect

Experience: 15+ Years (AI/ML / Data Architecture Experience)

Employment Type: Full-Time (W2 Only)

Location: USA

Work Authorization: H4 EAD, L2S, GC EAD, Green Card, US Citizen

Job Summary

We are seeking a highly accomplished AI/ML Architect to design and lead enterprise-scale artificial intelligence and machine learning platforms. The ideal candidate will have deep expertise in machine learning, Generative AI, large-scale data processing, and cloud-native architectures, along with strong leadership experience driving AI transformation initiatives.

This role requires ownership of AI/ML architecture, model lifecycle, data pipelines, scalability, and production deployment of intelligent systems.

Key Responsibilities

* Define and lead AI/ML architecture strategy across enterprise platforms.

* Design scalable machine learning and Generative AI solutions.

* Architect end-to-end ML pipelines including data ingestion, training, validation, and deployment.

* Build and implement LLM-based applications and RAG architectures.

* Design and manage vector database and embedding pipelines.

* Lead development of real-time and batch AI/ML systems.

* Collaborate with Data Scientists, Engineers, and Product teams.

* Establish best practices for MLOps, model governance, and monitoring.

* Optimize model performance, scalability, and cost efficiency.

* Mentor teams and drive architectural decisions.

Required Technical Skills

AI/ML & GenAI

* Strong experience in Machine Learning & Deep Learning

* LLMs (OpenAI, Anthropic, LLaMA, etc.)

* RAG (Retrieval-Augmented Generation)

* Prompt engineering

* Frameworks: TensorFlow / PyTorch / Scikit-learn

* LangChain / LlamaIndex / Hugging Face

Programming & Data

* Python (advanced)

* SQL / NoSQL

* Data processing and feature engineering

Cloud & Platforms

* AWS / Azure / GCP

* AI services (Azure OpenAI / AWS Bedrock / Vertex AI)

* Databricks (preferred)

MLOps & DevOps

* MLflow / Kubeflow

* CI/CD pipelines

* Docker, Kubernetes

* Model deployment and monitoring

Data & Storage

* Vector databases: Pinecone, FAISS, Chroma

* Data lakes / warehouses

Preferred Qualifications

* Experience building enterprise GenAI platforms

* Exposure to multi-cloud AI architectures

* Experience in BFSI, Healthcare, or enterprise domains

* Strong leadership and stakeholder communication skills

Eligibility & Compliance

* W2 Full-Time Only

* No C2C

* No consultancy or vendor profiles

How to Apply

📩 Share your updated resume to:

[email protected]