Position: Senior AI/ML Architect

Experience: 12 years (with at least 4 years in AI/ML/NLP projects)

Location: Houston, TX

About the Role

We are seeking a highly skilled Senior AI/ML Developer to design and implement next-generation AI-powered knowledge management systems. The ideal candidate will have expertise in document understanding, LLMs, multimodal AI, and agentic AI systems.

You will lead the development of a co-pilot-style solution capable of ingesting, processing, and reasoning over large volumes of documents (PDFs, scanned images, engineering drawings, invoices, P&IDs, SOPs, etc.), and delivering accurate, context-aware answers to user queries.

This role requires deep expertise in both cloud-native (Azure) and open-source AI ecosystems, with the ability to design autonomous, agent-driven workflows that integrate multiple tools, APIs, and data sources.

Key Responsibilities

AI/ML Solution Design & Development

• Architect and implement document understanding pipelines (structured unstructured data).
• Build retrieval-augmented generation (RAG) systems and LLM-based copilots for enterprise knowledge management.
• Develop agentic AI workflows (using LangChain Agents, Semantic Kernel, AutoGen, etc.) for multi-step reasoning and automation.
• Integrate OCR, computer vision, and NLP models to process scanned PDFs, engineering drawings, invoices, and P&ID diagrams.
• Fine-tune and optimize LLMs (OpenAI, Azure OpenAI, Hugging Face, LLaMA, etc.) for enterprise use.

Cloud & Data Engineering

• Build scalable AI solutions on Azure tech stack (Azure AI Search, Cognitive Services, Azure OpenAI, Azure Functions, Blob Storage, AKS).
• Implement vector databases (e.g., Pinecone, Weaviate, Azure AI Search, FAISS) for semantic and multimodal search.
• Design and manage efficient data pipelines using Python, SQL, and distributed processing frameworks.

Full-Stack Collaboration

• Work with front-end developers (React) to integrate AI services into user-friendly applications.
• Ensure smooth API design and deployment of AI services.

Performance & Governance

• Ensure system scalability, low latency, and cost efficiency.
• Apply best practices for responsible AI (bias mitigation, data security, compliance).

Required Skills & Qualifications

Core AI/ML Expertise

• Strong hands-on experience in NLP, LLMs, RAG, and multimodal AI.
• Proven experience building agentic AI workflows (LangChain Agents, Microsoft Semantic Kernel, AutoGen, CrewAI, Haystack agents).
• Proficiency with document AI, OCR, computer vision, and structured document parsing.
• Expertise in transformer-based models (BERT, GPT, LLaMA, etc.), fine-tuning, and prompt engineering.
• Knowledge of knowledge graphs, embeddings, and semantic search.
• Programming & Tools
• Strong skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, OpenAI SDKs).
• Experience with data processing & ETL pipelines (Pandas, Spark, Dask).
• Familiarity with React, REST APIs, FastAPI/Flask/Django for service integration.
• Strong in SQL (MS SQL), data modeling, and optimization.

Cloud & Infrastructure

• Experience with Azure AI stack: Azure Cognitive Services, Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, AKS.
• Hands-on with MLOps pipelines (Azure ML, MLflow, CI/CD, Kubeflow).
• Knowledge of containerization & orchestration (Docker, Kubernetes).

Other Preferred Skills

• Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, Azure AI Search).
• Exposure to scanned document/image processing (Azure Form Recognizer, LayoutLM, Detectron, Tesseract OCR).
• Familiarity with engineering/industrial documents (P&ID, CAD drawings, invoices).
• Understanding of data privacy, security, and compliance in enterprise AI.

Education & Experience

• Bachelor s or Master s in Computer Science, Data Science, AI/ML, or related field.
• 8 years of overall development experience, with at least 4 years in AI/ML-focused projects.
• Proven track record of delivering enterprise-grade AI/ML and agentic systems.
• Experience in mentoring junior developers and working in agile product teams.