Artificial Intelligence Architect
2 weeks ago
AI Architect Armakuni India
Role Summary:
Armakuni India is seeking a visionary AI Architect with deep technical expertise in AI/ML systems, Generative AI, and cloud-native architecture. This role demands hands-on leadership to define, design, and scale next-generation AI solutionsincluding LLMs, computer vision systems, and enterprise-grade ML platforms. You will drive innovation across the AI stack, shaping the future of data-driven product development at Armakuni.
Key Responsibilities:
- Architectural Leadership
* Define and drive AI/ML architectural vision aligned with business objectives.
* Lead the design of scalable, secure, and cost-optimized AI platforms on AWS or similar clouds.
* Evaluate and select appropriate models, tools, and infrastructure for enterprise deployment.
- Team & Technical Mentorship
* Guide and mentor engineers, data scientists, and MLOps professionals.
* Conduct architecture reviews, enforce coding and deployment standards.
* Foster a culture of experimentation, ownership, and knowledge sharing.
- Generative AI & LLMs
* Architect and deliver GenAI solutions leveraging LLMs like GPT-4, Claude, Gemini, LLaMA, etc.
* Implement agentic workflows, RAG pipelines, and domain-specific LLM fine-tuning.
* Use advanced frameworks like LangChain, LangGraph, LangFuse, Crew AI, LLamaIndex.
- Machine Learning Engineering
* Build robust ML pipelines: preprocessing, model training, evaluation, and drift monitoring.
* Apply classical ML, deep learning, and time series forecasting to solve real-world problems.
* Deploy and manage models using SageMaker and other MLOps tools.
- Computer Vision (CV)
* Architect CV pipelines for image classification, object detection, segmentation, and more.
* Optimize models for cloud and edge deployment using PyTorch/TensorFlow.
- Cloud & Infrastructure
* Lead cloud-native deployments using AWS (SageMaker, Bedrock, Lambda, etc.).
* Use containerization tools (Docker, Kubernetes) for scalable infrastructure.
* Integrate with RESTful APIs, vector databases (Pinecone, FAISS), and caching layers.
- Core Skills & Technologies
* Languages & Libraries: Python, Scikit-learn, XGBoost, PyTorch, TensorFlow
* Generative AI Tools: LangChain, LangGraph, LLamaIndex, LangFuse, Crew AI
* Databases: PostgreSQL, DynamoDB, Redis, Chroma
* MLOps & Deployment: SageMaker, MLflow, FastAPI, Docker, Uvicorn
* Vector Search: Pinecone, FAISS, OpenSearch
* Cloud Platforms: AWS (preferred), GCP, Azure
- Preferred Qualifications
* 8+ years in AI/ML, with 4+ years in GenAI and LLMs
* Proven track record in leading enterprise-grade AI deployments
* Open-source contributions or publications in AI/ML
* AWS AI/ML certification or equivalent is a strong plus
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