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Job Location/s - Indore, Bangalore, Pune, Noida, Gurgaon, Hyderabad, Chennai
Senior AI Architect
We are seeking an accomplished Senior AI Architect to lead the end-to-end design and deployment of cutting-edge AI solutions at enterprise scale. Leveraging your deep expertise in generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AWS, you will shape strategic AI initiatives, mentor engineering teams, and ensure our solutions deliver transformative business value. If you thrive on turning complex challenges into elegant, scalable architectures and enjoy working in a collaborative, innovation-driven environment, we invite you to join our forward-thinking organization.
Mandatory Skills
Ai Architect, generative ai, Large Language Model, Retrieval Augmented Generation, AWS, Gen AI architect, SageMaker, Bedrock
Responsibilities:
Requirements:
Nice to Have:
Roles & Responsibilities
About the Role:
As an AI Architect, you will play a pivotal role in designing and implementing advanced AI solutions that meet business needs. You will collaborate with cross-functional teams to define project requirements and translate them into scalable architectures. Your expertise will guide technical decisions and ensure the integrity of AI systems throughout the development lifecycle.
About the Team:
You will be part of a dynamic team of machine learning engineers, Gen AI engineers and software developers. The team values innovation and encourages collaboration to drive cutting-edge AI projects. You will interact with various departments, fostering a culture of knowledge sharing and continuous improvement as you work towards shared goals.
You are Responsible for:
- Developing AI system architectures that are robust, scalable, and maintainable.
- Evaluating and selecting appropriate AI technologies and tools for projects.
- Leading the design and implementation of machine learning models and algorithms.
- Collaborating with stakeholders to gather requirements and translate them into technical specifications.
- Ensuring compliance with industry standards and best practices in AI development.
To succeed in this role – you should have the following:
- Extensive experience in artificial intelligence and machine learning concepts.
- Strong programming skills in languages such as Python, along with experience in relevant frameworks.
- Proven track record of designing and deploying AI solutions in production environments.
- Excellent problem-solving skills and the ability to think critically about complex challenges.
- Strong communication and interpersonal skills to collaborate effectively with diverse teams.
Mandatory Skills
Ai Architect, generative ai, Large Language Model, Retrieval Augmented Generation, AWS, Gen AI architect, SageMaker, Bedrock
Job ID: 152939905
Skills:
snowflake , Adb, Adf, Power Bi, Pyspark, Kafka, Tableau, Sql, Spark Streaming, Databricks, Python, Azure SQL Data Lake, Synapse, Event Hubs, Microsoft Fabric, Azure Data Services
Skills:
AWS, Azure, Gcp, martech, LLM-based workflows, digital marketing platforms, GenAI, ADTECH
Skills:
process mining , Ibm Watson, MLops, prompt engineering, Business Process Mapping, AI governance, Claude, RAG observability, Responsible AI, Gemini, Azure AI Copilot, Cloud API-first, GenAI architecture, GenAI platforms, cloud AI platforms, Amazon Bedrock, AI architecture, AutoGen, LangChain, LLM architecture, CrewAI, Google Vertex AI, IT enterprise architecture, MCP agent orchestration
Skills:
Distributed Systems, LLM-based workflows, risk platforms, security platforms, retrieval-augmented generation, workflow platforms, human-in-the-loop systems, decisioning systems, ML systems, model orchestration, data platforms, agentic workflows, automated reasoning, AI systems, model-serving infrastructure, Trust Safety systems
Skills:
Distributed Systems, human-in-the-loop systems, risk platforms, security platforms, workflow platforms, retrieval-augmented generation, decisioning systems, LLM-based workflows, ML systems, model orchestration, data platforms, agentic workflows, automated reasoning, AI systems, model-serving infrastructure, Trust Safety systems