Job Title: Associate Director
Role: Senior AI Architect
Experience: 13 - 16 Years
About the Role
We are seeking a Senior AI Architect with deep expertise in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Agentic AI systems, Python, API development, System Design, MLOps, and production-grade AI/ML solution architecture This role involves architecting and leading AI solutions, driving innovation, and mentoring junior engineers. You will work closely with business and technical stakeholders to deliver scalable, production-grade AI systems.
Key Responsibilities
Experience architecting end-to-end AI/ML solutions including model selection, inference design, data pipelines, evaluation strategy, monitoring, governance, and lifecycle management.
Define architecture patterns for reusable AI components, services, APIs, and platforms.
Design and develop REST APIs for AI/ML model serving and application integration.
Build scalable API services using frameworks such as FastAPI, Flask, or similar.
Design architectures that address: Scalability, Availability, Latency, Reliability, Fault tolerance, Security, Cost optimization, Maintainability, Observability.
Define MLOps/LLMOps processes for model versioning, prompt versioning, evaluation pipelines, model registry, and production monitoring.
Working knowledge of Docker, Kubernetes, CI/CD, model deployment, model versioning, monitoring, logging, rollback strategy, and production support.
Experience designing and deploying cloud-native AI solutions on Azure, AWS, or GCP. Azure experience with Azure OpenAI, Azure ML, Azure AI Search, AKS, Blob Storage, Key Vault, and Application Insights is preferred.
Required Skills
Programming & Software Engineering: Expert-level proficiency in Python, with strong software engineering fundamentals including modular design, testing, logging, exception handling, performance optimization, and production-grade development.
API Development & System Design: Strong experience in REST API development, microservices, scalable architecture, AI/ML model-serving APIs, and enterprise system design
Cloud & MLOps: Experience with AWS, Azure, or GCP, along with MLOps/LLMOps practices including CI/CD, Docker, Kubernetes, model deployment, monitoring, versioning, and rollback.
Preferred Skills
Qualifications
Job Title: Associate Director
Role: Senior AI Architect
Experience: 13 - 16 Years
About the Role
We are seeking a Senior AI Architect with deep expertise in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Agentic AI systems, Python, API development, System Design, MLOps, and production-grade AI/ML solution architecture This role involves architecting and leading AI solutions, driving innovation, and mentoring junior engineers. You will work closely with business and technical stakeholders to deliver scalable, production-grade AI systems.
Key Responsibilities
Experience architecting end-to-end AI/ML solutions including model selection, inference design, data pipelines, evaluation strategy, monitoring, governance, and lifecycle management.
Define architecture patterns for reusable AI components, services, APIs, and platforms.
Design and develop REST APIs for AI/ML model serving and application integration.
Build scalable API services using frameworks such as FastAPI, Flask, or similar.
Design architectures that address: Scalability, Availability, Latency, Reliability, Fault tolerance, Security, Cost optimization, Maintainability, Observability.
Define MLOps/LLMOps processes for model versioning, prompt versioning, evaluation pipelines, model registry, and production monitoring.
Working knowledge of Docker, Kubernetes, CI/CD, model deployment, model versioning, monitoring, logging, rollback strategy, and production support.
Experience designing and deploying cloud-native AI solutions on Azure, AWS, or GCP. Azure experience with Azure OpenAI, Azure ML, Azure AI Search, AKS, Blob Storage, Key Vault, and Application Insights is preferred.
Required Skills
Programming & Software Engineering: Expert-level proficiency in Python, with strong software engineering fundamentals including modular design, testing, logging, exception handling, performance optimization, and production-grade development.
API Development & System Design: Strong experience in REST API development, microservices, scalable architecture, AI/ML model-serving APIs, and enterprise system design
Cloud & MLOps: Experience with AWS, Azure, or GCP, along with MLOps/LLMOps practices including CI/CD, Docker, Kubernetes, model deployment, monitoring, versioning, and rollback.
Preferred Skills
Qualifications
Job Title: Associate Director
Role: Senior AI Architect
Experience: 13 - 16 Years
About the Role
We are seeking a Senior AI Architect with deep expertise in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Agentic AI systems, Python, API development, System Design, MLOps, and production-grade AI/ML solution architecture This role involves architecting and leading AI solutions, driving innovation, and mentoring junior engineers. You will work closely with business and technical stakeholders to deliver scalable, production-grade AI systems.
Key Responsibilities
Experience architecting end-to-end AI/ML solutions including model selection, inference design, data pipelines, evaluation strategy, monitoring, governance, and lifecycle management.
Define architecture patterns for reusable AI components, services, APIs, and platforms.
Design and develop REST APIs for AI/ML model serving and application integration.
Build scalable API services using frameworks such as FastAPI, Flask, or similar.
Design architectures that address: Scalability, Availability, Latency, Reliability, Fault tolerance, Security, Cost optimization, Maintainability, Observability.
Define MLOps/LLMOps processes for model versioning, prompt versioning, evaluation pipelines, model registry, and production monitoring.
Working knowledge of Docker, Kubernetes, CI/CD, model deployment, model versioning, monitoring, logging, rollback strategy, and production support.
Experience designing and deploying cloud-native AI solutions on Azure, AWS, or GCP. Azure experience with Azure OpenAI, Azure ML, Azure AI Search, AKS, Blob Storage, Key Vault, and Application Insights is preferred.
Required Skills
Programming & Software Engineering: Expert-level proficiency in Python, with strong software engineering fundamentals including modular design, testing, logging, exception handling, performance optimization, and production-grade development.
API Development & System Design: Strong experience in REST API development, microservices, scalable architecture, AI/ML model-serving APIs, and enterprise system design
Cloud & MLOps: Experience with AWS, Azure, or GCP, along with MLOps/LLMOps practices including CI/CD, Docker, Kubernetes, model deployment, monitoring, versioning, and rollback.
Preferred Skills
Qualifications
KPMG – це міжнародна мережа фірм, що надають аудиторські, податкові та консультаційні послуги. В офісах KPMG у 143 країнах світу працюють понад 273,000 співробітників (FY23). Кожна фірма KPMG є незалежною юридичною особою і представляє себе як таку.
KPMG працює в Україні з 1992 року. KPMG в Україні надає аудиторські, податкові, бухгалтерські та консультаційні послуги для місцевих і міжнародних компаній. Нашою метою завжди було використання глобального інтелектуального потенціалу фірми в поєднанні з практичним досвідом наших українських професіоналів, щоб допомогти провідним компаніям досягти своїх цілей.
Офіси компанії знаходяться у Києві та Львові.
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KPMG is a global network of professional services firms providing audit, tax and advisory services. We operate in 143 countries and territories, and in FY23, collectively employed more than 273,000 people working in member firms around the world.
KPMG in Ukraine provides audit, tax, accounting and advisory services to local and international businesses. KPMG has been working in Ukraine since 1992, and our goal has always been to use the firm's global intellectual potential, combined with the practical experience of our Ukrainian professionals, to help leading companies to achieve their goals.
In Ukraine KPMG has its offices in Kyiv and Lviv.
