symplr - AI Solution Architect - LLM/Computer Vision

Description :

We are seeking a highly skilled AI Solutions Architect specializing in Large Language Models (LLMs), Generative AI, and Computer Vision to design, architect, and deliver production-grade

AI solutions for enterprise use cases.

This role focuses exclusively on AI-driven solution design, spanning model selection, data pipelines, vector search, cloud-native deployment, and MLOps/LLMOps practices. The ideal candidate will possess strong hands-on technical expertise, experience delivering AI systems at scale, and the ability to translate complex business problems into robust, scalable AI architectures.

Key Responsibilities :

- Design and architect end-to-end AI solutions leveraging LLMs, Generative AI models, and Computer Vision techniques

- Define scalable AI architectures covering data ingestion, feature engineering, embeddings, vector search, inference layers, and integrations

- Select and recommend appropriate AI models, frameworks, and platforms (open-source or proprietary) based on business, cost, and performance constraints

- Lead POCs, prototypes, and technical validations for AI-driven enterprise use cases

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

- Design and implement RAG (Retrieval-Augmented Generation) architectures including document ingestion, chunking strategies, embedding pipelines, and retrieval optimization

- Apply model optimization techniques such as quantization, distillation, context engineering, prompt engineering, and inference optimization

- Translate business requirements into AI solution designs, architecture diagrams, and implementation blueprints

- Present AI solution approaches, technical trade-offs, and roadmaps to senior technical and business stakeholders

- Architect AI solutions on cloud platforms (AWS, Azure, or GCP) using GPU compute, managed AI services, and serverless components

- Integrate and optimize vector databases such as Pinecone, Weaviate, FAISS, or Chroma for similarity search and RAG pipelines

- Oversee model deployment, monitoring, and lifecycle management using MLOps/LLMOps tools and CI/CD pipelines

- Ensure AI solutions adhere to responsible AI practices, including ethics, bias mitigation, data privacy, security, and governance requirements

- Define strategies for scalability, performance optimization, model drift detection, retraining, and continuous improvement

Domain-Specific AI Use Cases :

- Intelligent document processing and document understanding

- Chatbots and conversational AI systems

- RAG-based enterprise knowledge assistants

- Image and video classification, object detection, and OCR

- Generative AI for text, image generation, and workflow automation

Required Skills & Qualifications :

- 7+ years of experience in AI/ML engineering, AI solution architecture, or applied AI development

- Strong expertise with Large Language Models (LLMs) such as OpenAI, Llama, Claude, Gemini,

or similar