24 days ago
Mumbai, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead presales solutioning, including architecture proposals, effort estimation, solution demonstrations, and client workshops.
- Design generative AI and agentic AI architectures on Azure AI Foundry, including model selection, Azure OpenAI Service integration, prompt orchestration, and agent design.
- Architect RAG solutions with data grounding pipelines, vector search and indexing, and enterprise data integrations.
- Define AI platform strategies, target-state architectures, and adoption roadmaps with client stakeholders.
- Provide technical leadership during delivery through solution design, architecture governance, design reviews, optimization, and production-readiness activities.
- Establish standards for Responsible AI, content safety, model governance, security, and observability.
- Guide multi-agent orchestration using frameworks such as Semantic Kernel, AutoGen, and LangChain/LangGraph.
- Advise clients, mentor AI and data engineers and architects, and contribute to reusable accelerators and practice initiatives.
Requirements
- 12–15 years of experience in AI/ML, data engineering, or solution architecture roles.
- Recent hands-on experience architecting solutions on Azure AI Foundry or Azure AI Studio.
- Hands-on experience with Azure OpenAI Service, the Azure AI Foundry model catalog, prompt engineering, prompt flow, and fine-tuning approaches.
- Strong experience designing RAG architectures using vector databases, embeddings, Azure AI Search, and enterprise data-grounding patterns.
- Experience with agentic AI design, multi-agent orchestration, tool or function calling, and frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph.
- Knowledge of the Azure data and AI ecosystem, including Azure Machine Learning, Azure Cognitive Services, Azure Data Factory, Synapse, or Databricks.
- Working knowledge of MLOps and LLMOps practices, including deployment, versioning, monitoring, and CI/CD for AI solutions.
- Understanding of Responsible AI, content safety and filtering, and enterprise AI governance.
- Strong Python programming skills and familiarity with REST APIs and enterprise integration patterns.
- Demonstrated presales solutioning experience and hands-on delivery capability.
- Experience mentoring teams and owning technical delivery quality on medium-to-large engagements.
- Preferred qualifications include Azure AI Engineer Associate, Azure Solutions Architect Expert, or generative-AI Microsoft certifications; Copilot Studio or Microsoft 365 Copilot extensibility experience; exposure to AWS Bedrock or Google Vertex AI; multi-industry experience; global SI delivery experience; and practice-building or reusable-accelerator contributions.
Tech Stack
DatabricksPython
Categories
Solutions Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.