9 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Own end-to-end architecture of enterprise Generative AI platforms on Azure AI Foundry.
- Design RAG, multi-agent, multimodal, multi-tenant, and access-controlled systems.
- Define reference architectures, reusable accelerators, engineering standards, and best practices for RAG, agents, evaluation, and LLMOps.
- Design multi-agent workflows with orchestration, memory, human-in-the-loop capabilities, and enterprise tool or MCP integration.
- Establish responsible AI governance covering guardrails, content safety, privacy, compliance, model risk, and auditing.
- Define model selection, fine-tuning, evaluation, observability, monitoring, capacity planning, and cost-performance strategies.
- Lead, mentor, and grow AI engineering teams; set technical direction and review designs.
- Partner with senior client stakeholders on discovery workshops, solutioning, proposals, estimations, and technical presales.
- Evaluate emerging AI technologies and lead proofs of concept that can become scalable offerings.
Requirements
- 8–10 years of total experience in software, data, or AI engineering.
- 3–4 years of experience architecting and delivering Generative AI solutions in production.
- Deep expertise in Azure AI Foundry and the wider Azure AI stack.
- Experience architecting large-scale RAG systems and multi-agent systems using Azure AI Foundry and frameworks such as Semantic Kernel, LangGraph, or AutoGen.
- Strong foundation in classical machine learning, deep learning, NLP/LLMs, fine-tuning, evaluation, and MLOps on Azure Machine Learning or an equivalent platform.
- Strong Azure architecture experience with networking, identity, containers, API management, databases, security, and monitoring services.
- Expert-level Python and strong software architecture and design-pattern knowledge.
- Track record of leading teams, owning delivery outcomes, and managing technical risk.
- Excellent client-facing communication, presales, proposal-writing, and executive-presentation skills.
- B.E., B.Tech, M.E., M.Tech, MCA, or M.Sc. in Computer Science, Data Science, AI/ML, or a related field.
- Preferred qualifications include Azure certifications such as AI-102, DP-100, AZ-305, or AZ-400; experience with LoRA, PEFT, distillation, small language models, Microsoft Fabric, Databricks, regulated industries, or published AI work.
Benefits
- Full-time employment.
- Location options are Delhi, Mumbai, or Bangalore, India.
Categories
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.