knowledge Artisan
AI Solutions Architect - Presales & Delivery
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Architecture
- Posted
Skills
Full description
About the Role :
We are seeking an experienced AI Solutions Architect to lead customer engagements, architect innovative AI-powered enterprise solutions, and drive successful execution from presales through delivery. The ideal candidate combines strong consulting skills, deep technical expertise in AI and full-stack software engineering, and hands-on experience building production-ready AI solutions.
Key Responsibilities : Customer Consulting & Presales :
- Engage with customers to understand business objectives, pain points, and transformation opportunities.
- Conduct discovery workshops and identify high-value AI use cases.
- Collaborate with Sales teams to develop AI-led solution strategies.
- Lead technical presentations, solution demonstrations, and executive discussions.
- Develop solution proposals, architecture documents, effort estimates, SOWs, and responses to RFPs/RFIs.
AI Solution Architecture :
- Design scalable, secure, and cloud-native AI solutions leveraging Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Intelligent Automation, and Predictive Analytics.
- Define end-to-end solution architecture, integration strategy, security, governance, and implementation roadmap.
AI-Enabled Software Engineering :
- Drive AI adoption across enterprise application architecture and the Software Development Lifecycle.
- Design AI-enabled full-stack applications by integrating LLMs, copilots, semantic search, AI agents, and intelligent automation.
- Architect modern cloud-native, microservices-based applications.
Proof of Concept & Delivery :
- Develop rapid AI Proof of Concepts (PoCs) and prototypes demonstrating business value and technical feasibility.
- Lead architectural governance from presales through implementation.
Technical Skills : Artificial Intelligence :
- Generative AI, Large Language Models (LLMs), RAG, AI Agents, Machine Learning, NLP, Computer Vision, Intelligent Automation, Prompt Engineering, MLOps.
AI Platforms & Frameworks :
- Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, LangGraph, LlamaIndex, Vector Databases.
Software Engineering :
- Python, Java, .NET, Node.js, React/Angular, REST APIs, Microservices, SQL/NoSQL Databases.
Cloud & DevOps :
- Microsoft Azure, AWS, GCP, Docker, Kubernetes, Terraform, DevSecOps.