Solution Architect - GenAI
On-siteBengaluru, Karnataka, India
Job Summary
Architect and guide end-to-end GenAI solution designs, translating business challenges into scalable ML and LLM-based patterns for copilots, agents, and smart workflows. Define application architecture, standards, and long-term technical direction across India and global initiatives, covering data pipelines, RAG, model orchestration, and governance. Lead complex cross-regional initiatives from use-case discovery to enterprise rollout, validating feasibility through prototyping and design reviews. Collaborate with stakeholders to design secure, compliant patterns on Microsoft Azure, including OpenAI Service, Machine Learning, and vector stores. Establish CI/CD pipelines using GitHub Actions and infrastructure-as-code, enforcing DevOps best practices and release management strategies. Drive capability building and hands-on technical leadership for the GenAI task force.
Required Qualifications
- Master's degree in a STEM subject (Science, Technology, Engineering, Mathematics), such as Data Science, Computer Science, Statistics, Mathematics, or a related field
- 8+ years of experience in data science, AI, advanced analytics, or software engineering, with proven experience in solution or technical architecture roles for data-intensive or AI-powered applications
- Deep expertise in machine learning, including supervised and unsupervised learning, along with strong experience in model lifecycle management, deployment, and scalability in production environments
- Strong hands-on and architectural experience with GenAI technologies, including transformers, LLMs, diffusion models, multimodal AI, and common GenAI application patterns (RAG, agents, copilots, chatbots)
- Proven experience designing and delivering GenAI and AI/ML solutions on Microsoft Azure, including: Azure OpenAI Service and/or Azure Machine Learning for experimentation, training, and deployment
- Azure Cognitive Search / vector search, storage and data services (e.g. Cosmos DB, Azure SQL, Blob Storage)
- Integration and messaging services (e.g. Event Hubs, Service Bus, API Management)
- Excellent proficiency in Python and relevant libraries (e.g. NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, statsforecast, LangChain or similar orchestration frameworks)
- Experience with cloud-native architectures and enterprise integration patterns (APIs, event-driven architectures, microservices)
- Demonstrated DevOps and CI/CD expertise on Azure, including: Designing and maintaining GitHub repositories with robust branching, code review, and collaboration practices
- Building and operating GitHub Actions (and/or Azure DevOps pipelines) for automated testing, security checks, and deployments
- Applying best practices for versioning, environment management, release procedures, and rollback strategies for GenAI and AI/ML solutions in Azure
- Using infrastructure-as-code tools (Terraform preferred) for repeatable, compliant environment provisioning
- Strong understanding of data architecture, from ingestion and feature engineering to semantic layers, vector databases, knowledge graphs, and analytical/consumption layers
- Proven ability to manage complex, multi-stakeholder initiatives across regions, time zones, and priorities, aligning diverse stakeholders around a common architecture vision
- Excellent communication skills in English, with the ability to explain complex technical concepts to both technical and non-technical audiences, including senior management
- A collaborative mindset, strong ownership, strategic and product-thinking, and the confidence to challenge the status quo and advocate for pragmatic, scalable solutions
Desired Qualifications
- MCP experience is preferred
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