Job Description
Job Description
Senior AI Solutions Architect
Job Summary
We are seeking an experienced Senior AI Solutions Architect to design, develop, and implement enterprise-scale AI and Generative AI solutions. The ideal candidate will have strong expertise in cloud architecture, large language models (LLMs), machine learning, API integrations, and modern software engineering practices. You will collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI applications that solve real business challenges.
Key Responsibilities
- Design and implement scalable AI/ML and Generative AI architectures.
- Develop AI-powered applications using LLMs and Retrieval-Augmented Generation (RAG).
- Integrate AI solutions with enterprise applications and third-party APIs.
- Build vector databases and semantic search capabilities.
- Design secure, cloud-native architectures on AWS, Azure, or Google Cloud Platform.
- Optimize AI model performance, scalability, and cost.
- Collaborate with product managers, developers, and data scientists throughout the development lifecycle.
- Ensure compliance with security, privacy, and governance standards.
- Create technical documentation and architectural diagrams.
- Mentor development teams and establish AI engineering best practices.
Required SkillsPrimary Skills
- Python
- Generative AI
- Large Language Models (OpenAI, Claude, Gemini, Llama)
- LangChain or LlamaIndex
- Retrieval-Augmented Generation (RAG)
- Vector Databases (Pinecone, FAISS, Chroma, Weaviate)
- Machine Learning
- REST APIs
- Docker
- Kubernetes
- AWS / Azure / Google Cloud Platform
- Git
Secondary Skills
- TensorFlow or PyTorch
- MLOps
- CI/CD Pipelines
- Microservices Architecture
- SQL & NoSQL Databases
- Redis
- Elasticsearch
- Prompt Engineering
- OAuth 2.0 / JWT Authentication
- Agile/Scrum
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- AI/Cloud certifications are a plus.
Experience
8–12 Years
Preferred Qualifications
- Experience delivering enterprise AI products.
- Hands-on experience with chatbot or AI assistant development.
- Experience integrating AI with CRM, ERP, or HR platforms.
- Strong understanding of AI governance and responsible AI practices.
- Excellent communication and stakeholder management skills.