Agentic AI Architect
About the role
The Agentic AI Architect will define and develop reference architectures for enterprise-grade agentic AI systems, focusing on agent orchestration, memory, tool and function calling, knowledge integration, and safe action execution. The role involves building reusable frameworks and accelerators, guiding engineering teams from proof-of-concept to production, embedding security and responsible-AI safeguards, and mentoring engineers. The position also requires partnering with presales and client teams to shape solutions and strengthen the company's AI offerings.
Must have
- Proven ability to design and ship production agentic AI systems: multi-agent workflows, tool use, memory, and LLM orchestration (for example with LangChain, LangGraph, or LlamaIndex).
- Strong command of Python and Java, plus the data foundations agents rely on: pipelines, vector databases, and knowledge graphs.
- Hands-on architecture experience on at least one major cloud platform (AWS, Azure, or GCP).
- A track record of building reusable frameworks or accelerators that others adopt across teams.
- Clear communication that turns technical trade-offs into decisions business and technical audiences can act on.
Nice to have
- Experience securing AI models and data workflows, including data residency and access controls.
- Exposure to presales or client-facing solutioning.
- Background in a regulated industry such as banking, insurance, or healthcare.
Technologies
- Agentic AI
- AWS
- Azure
- GCP
- Java
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Python
- Responsible AI
- Vector Databases
Highlights
The role is with Virtusa. Experience with major cloud platforms and production agentic AI systems is required. The listing mentions the importance of security and responsible AI, as well as opportunities to mentor and influence multiple teams.
Jobs across Sri Lanka, watched for you.Colombo, Sri Lanka