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Title – AI Architect
Location – Hyderabad (WFO)
We are seeking an experienced Principal AI Solutions Architect with 8–15+ years of experience in software engineering, enterprise architecture, AI/ML, and cloud technologies. The ideal candidate will lead the design and implementation of enterprise-scale AI platforms, advanced Generative AI solutions, Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, and intelligent automation systems.
Technical Leadership
Leadership & Communication
Job ID: 151197223
Skills:
Distributed Systems, Python, Java, Apis, Testing, Identity Management, open-source tools, policy enforcement, Go, graph-based memory systems, execution chains, autonomous agent frameworks, cognitive architectures, vector DBs, Access Control, cloud-native platforms, AI architectures, observability, Infrastructure Design, CrewAI, LangChain, LLMs, self-reflection, AutoGen, AI orchestration models, agent memory planning loops, RL, SDKs
Skills:
S3, Microservices, Lambda, Terraform, Api Gateway, Cloudformation, Dynamodb, Cloudwatch, ECS, Iam, Rest Apis, AI orchestration frameworks, Infrastructure as Code, AWS cloud services, vector databases, OpenSearch, AI services, semantic search, Generative AI, Step Functions, embedding models, EKS, prompt optimization, Amazon Bedrock
Skills:
Data Architecture, Encryption, Typescript, Javascript, Python, AWS, Gcp, Data Privacy, Azure, Meta, metadata standards, RAG and knowledge systems, Responsible AI frameworks, Security, bias mitigation, AI reference architectures, cloud-native systems, Google, explainability, workflow orchestration, fairness, taxonomies, Anthropic, secure connectivity, AI architecture, Compliance, semantic caching, CI CD pipelines, end-to-end observability, OpenAI, RAG multi-agent systems
Skills:
Data Architecture, Typescript, Encryption, Javascript, Python, AWS, Gcp, Data Privacy, Azure, Meta, metadata standards, Responsible AI frameworks, RAG and knowledge systems, Security, bias mitigation, AI reference architectures, Google, cloud-native systems, explainability, workflow orchestration, fairness, taxonomies, Anthropic, secure connectivity, AI architecture, Compliance, semantic caching, CI CD pipelines, end-to-end observability, OpenAI, RAG multi-agent systems
Skills:
Java, Typescript, Docker, Apache Kafka, Python, Kubernetes, AutoGen, LangGraph, LLM tuning
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