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AI Solution Architect

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.

Responsibilities

  • Engage with clients early to understand AI/GenAI/ML use cases and business requirements
  • Design proposed AI architectures and delivery approaches for opportunities
  • Provide effort estimates, assumptions, and implementation roadmaps for AI components
  • Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment
  • Own scoped AI work packages delivered by the AI CoE within larger delivery projects
  • Ensure AI solutions are production-grade, secure, scalable, and maintainable
  • Collaborate with delivery teams for integration, handover, and deployment support
  • Establish reusable reference architectures, patterns, and best practices
  • Lead AI-enabled development initiatives across delivery teams
  • Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)
  • Maintain awareness of emerging AI tools, models, and industry trends
  • Support internal incubation efforts and AI technology radar initiatives
  • Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.

Required Qualifications

  • 8+ years of experience in solution architecture, AI/ML engineering, or related roles
  • Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems
  • Experience designing AI solutions for enterprise clients, including integration into business applications
  • Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering
  • Strong communication and stakeholder management skills, especially in client-facing settings
  • Ability to work across pre-sales, delivery, and engineering teams

Preferred Skills

  • Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)
  • Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines
  • Exposure to enterprise security, compliance, and responsible AI governance
  • Prior experience in consulting or client delivery environments

Job Type: Full-time

Pay: Rs500,000.00 - Rs600,000.00 per month

Work Location: In person

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