What are the responsibilities and job description for the AI/ML Architect position at Precision Technologies?
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
đŸ“© Share your updated resume to:
manish.g@precisiontechcorp.com