AI Solution Architect

Role Overview:

This is a strategic, customer-facing architecture role focused on Enterprise AI and Agentic AI transformation. The selected candidate will design enterprise-grade AI solutions, build multi-agent orchestration frameworks, lead AI discovery workshops, engage with C-level stakeholders, and drive AI initiatives from strategy and PoC through production deployment.

Key Responsibilities:

- Architect end-to-end AI and Agentic AI solutions.

- Design multi-agent systems using LangGraph, AutoGen, CrewAI, Semantic Kernel, and related frameworks.

- Build RAG-based enterprise AI architectures with vector databases and knowledge graphs.

- Integrate AI solutions with SAP, Salesforce, Microsoft 365, ServiceNow, Oracle, and other enterprise platforms.

- Lead customer workshops, AI discovery sessions, and executive stakeholder engagements.

- Drive AI governance, responsible AI, security, compliance, and observability initiatives.

- Mentor engineering teams and contribute to AI practice development and innovation.

Required Technical Skills:

- Generative AI, LLMs, Prompt Engineering, Fine-tuning Techniques

- Agentic AI Frameworks: LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel

- RAG Architecture, Vector Databases, Knowledge Graphs

- Azure OpenAI, AWS Bedrock, Google Vertex AI

- Python, FastAPI, LlamaIndex, LangChain

- Docker, Kubernetes, CI/CD

- AI Monitoring and Observability Tools

- Enterprise System Integration (SAP, Salesforce, Microsoft, ServiceNow)