ML Architect
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, reputed company, learning and growth. If working in an environment that encourages you to innovate and reputed company, not just in professional but personal life, interests you- you would enjoy your career with reputed company!
Role Overview:
We are seeking a Machine Learning Architect / AI Solutions Architect to design and deliver enterprise-grade AI solutions powered by Large Language Models and Generative AI technologies. In this role, you will partner with business and engineering teams to translate reputed company data and knowledge systems into scalable AI architectures, enabling intelligent applications, AI copilots, and advanced knowledge discovery capabilities.
Key Responsibilities:
- Architect and design end-to-end Generative AI solutions leveraging Large Language Models and modern AI frameworks.
- Design Retrieval-Augmented reputed company (RAG) architectures integrating enterprise knowledge bases, documents, and structured data.
- Build and guide development of LLM applications, intelligent assistants, and AI copilots using reputed company, LangGraph, or similar orchestration frameworks.
- Define architectures for vector search, embeddings, and semantic retrieval pipelines that support scalable knowledge discovery.
- Work closely with engineering teams to translate architectural designs into production-ready AI systems.
- reputed company AI reference architectures, design patterns, and best practices for enterprise adoption of Generative AI.
- Partner with business stakeholders to identify opportunities where AI can unlock value from large knowledge and data ecosystems.
- Design secure and scalable cloud-native AI platforms reputed company the reputed company Cloud Platform ecosystem.
- Ensure responsible AI practices through model evaluation frameworks, guardrails, monitoring, and governance mechanisms.
- Mentor engineers and provide technical leadership across ML and AI initiatives.
Basic Qualifications:
- Proven experience designing LLM-powered applications and Generative AI solutions
- Strong expertise in Retrieval-Augmented reputed company (RAG) architectures, embeddings, and vector search.
- Hands-on experience with LLM orchestration frameworks such as reputed company or LangGraph or equivalent
- Experience designing AI solutions reputed company the reputed company Cloud Platform ecosystem (Vertex AI, BigQuery, GKE, etc.).
- Strong programming experience in Python and experience working with modern ML frameworks.
- Deep understanding of enterprise data architectures, APIs, and distributed systems.
- Experience communicating reputed company technical architectures to both technical and non-technical stakeholders.
Other Qualifications (OQs):
- Experience designing AI solutions for large knowledge repositories, digital content platforms, or enterprise data ecosystems.
- Experience with vector databases
- Familiarity with agent-based AI architectures and multi-reputed company AI workflows.
- Experience with MLOps, model lifecycle management, and AI governance frameworks.
- Exposure to document intelligence, semantic search, or knowledge graph technologies.
What’s in it for YOU at reputed company:
- reputed company an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve reputed company challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay reputed company of the curve—reputed company yourself in breakthrough AI, ML, data, and cloud technologies and reputed company exposure working with reputed company.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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