AI Architect

Overview

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients.

Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Senior Principal Consultant- AI Architect

• Architecture Strategy & Design
• Define the overall technical architecture for complex Enterprise Systems & platforms, including:
• AI Knowledge Graph & Knowledge Base
• Drift detection pipelines using telemetry and runtime analytics
• GenAI-based remediation and recommendation engine
• Design the system to integrate with enterprise CI/CD, IaC, Observability, and EA repositories
• Establish the Core AI Platform architecture including ingestion, risk scoring, event bus, and continuous learning components
• Author Architecture Decision Records (ADRs) and maintain traceability to design standards
• Lead the AI enablement of architecture governance
• Supervise development of contextual GenAI assistants for code reviews, PR validation, and remediation recommendations
• Define ML models for risk scoring and anomaly detection using historical drift patterns
• Oversee implementation of feedback loops for continuous learning and accuracy improvement
• Collaborate with data scientists and AI engineers to define data pipelines for training and inference

• Governance & Standards
• Translate enterprise architecture standards into machine-readable policies through OPA/Rego rules
• Define the lifecycle for Policy-as-Code, including authoring, versioning, approval, and automated enforcement
• Establish compliance dashboards, health metrics, and maturity models for architecture conformance
• Align architectural automation with frameworks like TOGAF, SAFe, and Dev Sec Ops  governance models

• Platform Engineering Leadership
• Work with CI/CD, Observability, and Cloud platform teams to embed drift detection hooks into pipelines and runtime systems
• Define integration patterns with tools such as:
• Oversee development of the Event Bus, API layer, and microservice architecture for scalability and resilience
• Guide implementation of the Remediation Engine — from automated PR generation to compliance re-validation

• Stakeholder Engagement
• Partner with Enterprise Architects, CIO Office, and Product Owners to translate governance needs into actionable platform capabilities
• Present architectural roadmaps, drift analytics, and AI insights to CXO-level stakeholders
• Evangelize the “AI-enabled architecture governance” paradigm across development and operations teams
• Coach and mentor technical architects, data engineers, and developers on architecture observability and drift prevention

Minimum Qualifications

• Excellent written and verbal communication skills

Preferred Qualifications/ Skills

• Enterprise Architecture Frameworks: TOGAF, Zachman, C4, Domain-Driven Design (DDD)
• Observability & Telemetry:
  Open Telemetry, Prometheus, Grafana, APM tools
• Event Streaming & Messaging:
  Kafka, Pub/Sub, or equivalent
• Programming & Scripting:
  Python (mandatory), Go, or Type Script (for automation and AI workflows

The approximate annual base compensation range for this position is $80,000 to $100,000.…