Job Overview
We are looking for a highly skilled Generative AI Architect to lead the design and delivery of enterprise-scale GenAI solutions.
Main Responsibilities
- Architecture & Design :
- Define and design scalable architectures for GenAI solutions (chatbots, copilots, knowledge assistants, automation workflows).
- Select appropriate AI models based on business use cases.
- Integrate GenAI with enterprise data platforms and applications.
- Solution Delivery :
- Lead end-to-end implementation of GenAI-powered applications, ensuring performance, accuracy, compliance, and security.
- Drive prompt engineering, fine-tuning, and evaluation of LLMs.
- Develop reusable frameworks, APIs, and reference architectures for GenAI adoption.
- Governance & Compliance :
- Define AI governance, responsible AI, and model risk management frameworks.
- Ensure solutions align with data privacy, ethical AI, and regulatory requirements.
- Stakeholder Management :
- Partner with business leaders, product owners, and engineering teams to translate business problems into AI-driven solutions.
- Provide technical leadership, mentoring, and guidance to engineering and data science teams.
- Innovation & R&D :
- Stay updated with the latest GenAI research, frameworks, and tools to drive innovation.
- Evaluate vendor offerings and develop proof of concepts for new AI capabilities.
Required Skills and Qualifications
Technical Expertise :Strong knowledge of LLMs, Transformers, and GenAI frameworks.Experience with cloud platforms : Azure AI Services.Hands-on with Python, PyTorch, TensorFlow, and deployment pipelines (Docker, Kubernetes, MLOps).Expertise in vector databases (Pinecone, Weaviate, ChromaDB, FAISS) for semantic search.Strong understanding of data engineering and integration with enterprise ecosystems.Architecture Skills :Proven experience in designing enterprise-scale AI / ML architectures.Strong grounding in microservices, APIs, security, and performance optimization.Experience in solutioning for copilots, chatbots, document intelligence, and automation.Professional Experience :10+ years in solution architecture, with 3+ years in AI / ML and at least 1–2 years in Generative AI.Demonstrated experience in delivering AI projects in enterprise environments.Benefits
Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed.
We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.