Solution Architect - AI Solutions

Description :

We are seeking a highly skilled Solution Architect specializing in LLMs, Generative AI, and Computer Vision to design and deliver cutting-edge AI solutions for enterprise clients.

The ideal candidate will have strong expertise in modern AI/ML frameworks, model deployment, vector search, cloud ecosystems, and end-to-end solution design.

This role requires deep technical acumen, strong client-facing skills, and the ability to translate complex business problems into scalable AI architectures.

Key Responsibilities :

- Design and architect end-to-end AI solutions using LLMs, GenAI models, and Computer Vision techniques.

- Define scalable architectures incorporating model development, data pipelines, vector databases, inference frameworks, and cloud services.

- Recommend the right models, tools, and platforms (open-source or proprietary) based on use case and business constraints.

- Lead POCs, prototype development, and technical validations for AI-driven use cases.

- Work closely with data scientists, ML engineers, and full-stack teams to guide model training, fine-tuning, evaluation, and deployment.

- Implement model optimization techniquesquantization, distillation, RAG architectures, context engineering, and prompt engineering.

- Engage with enterprise clients to understand their pain points, workflows, and business goals.

- Convert client requirements into detailed technical solution designs, architecture documents, and implementation plans.

- Present AI strategies, roadmaps, and solution proposals to senior stakeholders.

- Architect solutions using cloud platforms such as AWS, Azure, or GCP, leveraging AI/ML services, GPU compute, and serverless technologies.

- Integrate vector databases (Pinecone, Weaviate, FAISS, Chroma) for similarity search and RAG pipelines.

- Oversee deployment using MLOps/LLMOps tools, CI/CD pipelines, monitoring systems, and production-grade practices.

Domain-Specific AI Use Cases :

- Intelligent document processing

- Chatbots & conversational AI

- RAG-based enterprise assistants

- Image/video classification, object detection, OCR

- Generative AI for text, images, and workflow automation

- Ensure compliance with AI ethics, model governance, data privacy, risk mitigation, and responsible AI frameworks.

- Provide guidance on scalability, performance optimization, model drift management, and retraining strategies.

Required Skills & Qualifications :

- Strong expertise with Large Language Models (LLMs) OpenAI, Llama, Claude, Gemini, or similar.

- Hands-on experience in Generative AI, including fine-tuning, prompt engineering, embeddings, and RAG.

- Deep understanding of Computer Vision frameworks (OpenCV, TensorFlow, PyTorch, YOLO, Detectron2, etc.

- Proven experience architecting AI solutions in production environments.

- Strong understanding of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).

- Experience with MLOps/LLMOps toolsMLflow, SageMaker, Vertex AI, LangChain, Ray, or similar.

- Proficiency in Python and familiarity with modern AI libraries and Transformer-based architectures.

- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders