5+ years of experience in software architecture and engineering
Proficiency in Google Cloud Platform (GCP) and its services
Strong background in AI/ML frameworks and model integration
Experience with microservices architecture and containerization
Familiarity with CI/CD and MLOps practices
Knowledge of event-driven systems and API design
Responsibilities
Architect scalable frameworks for multi-agent orchestration and cognitive architectures
Implement governance and observability for LLMOps across model endpoints
Design modular interfaces for integrating foundation models and APIs
Lead modernization of legacy systems into microservices and service meshes
Create high-throughput RESTful and gRPC APIs and asynchronous event streams
Define standards for resilience and fault tolerance in distributed systems
Benefits
Flexible work environment with remote options
Opportunities for professional development and training
Access to cutting-edge technology and tools
Collaborative and innovative team culture
Health and wellness programs
Full Job Description
Role Overview
We are seeking a Lead Architect / Staff Engineer to spearhead the architecture, development, and operationalization of our next-generation enterprise applications and Agentic AI Platform on Google Cloud Platform (GCP). In this role, you will bridge the gap between legacy application modernization (AppMod) and cutting-edge autonomous agent workflows.
You will design scalable distributed systems, define enterprise-wide application architecture patterns, establish robust CI/CD and MLOps/LLMOps pipelines, and build developer platforms that allow cross-functional teams to securely build, deploy, and monitor multi-agent systems and modern cloud-native workloads. Key Responsibilities 1. Agentic Platform & AI Engineering
Architecture & Orchestration: Architect resilient, scalable frameworks for multi-agent orchestration, tool-use execution environments, agentic memory systems (vector search, episodic/semantic caching), and cognitive architectures (ReAct, Plan-and-Solve).
LLMOps & Governance: Implement enterprise guardrails, prompt evaluation pipelines, automated red-teaming, cost/token tracking, rate-limiting, and observability across model endpoints.
Model Integration: Design modular interfaces to integrate foundation models via Google Vertex AI (Gemini, open-source models via Model Garden), external APIs, and fine-tuned domain models.
Legacy Decoupling: Lead the refactoring and modernization of monolithic architectures into event-driven, containerized microservices and service meshes.
API & Integration Design: Design high-throughput, low-latency RESTful and gRPC APIs, GraphQL gateways, and asynchronous event streams using Pub/Sub and Kafka.
Resilience & Scalability: Define standards for distributed state management, idempotent processing, circuit breakers, and fault tolerance across hybrid and multi-region deployments.
About Virtusa Corporation
Virtusa Corporation is a global provider of digital business strategy, digital engineering, and information technology (IT) services and solutions. The company helps its clients transform their businesses through innovative technology solutions that enable them to improve customer engagement, increase operational efficiency, and drive revenue growth. Virtusa Corporation was founded in 1996 and is headquartered in Southborough, Massachusetts. The company has over 20,000 employees and operates in over 30 countries around the world. Virtusa Corporation is committed to sustainability and has received numerous awards for its environmental and social responsibility initiatives.
