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Manager - AI Architect

Manager - AI Architect

KPMG India

0 years

0 Lacs

bengaluru karnataka india

Posted:13 hours ago| Platform:

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Skills Required

ai cutting engineering software architecture tooling writing code design integration management agile strategy data governance adaptability model training deployment monitoring containerization docker kubernetes scaling versioning rollback stability reliability scalability security ml tuning azure

Work Mode

On-site

Job Type

Full Time

Job Description

As AI Architect at KPMG You will be an accomplished individual contributor. You will specialize in helping our team’s driving innovation, accelerating the adoption of cutting-edge technologies, and enhancing our engineering practices. You will be known for having skills in software architecture embedding AI into it and will work across our teams to help them build and adopt common architectures and tooling w.r.t AI tools and technologies. You should be self-motivated, capable of writing code, and passionate about building scalable, high-quality software solutions.Responsibilities:s

Work on the Implementation and Solution delivery of the AI applications leading the team across onshore/offshore and should be able to cross-collaborate across all the AI streams.
Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.
Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications.
Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.
Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.
Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.
Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.
Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.
Ensure the implementation supports scalability, reliability, maintainability, and security best practices.
Have Quality by Desgin mindset and approach
Expertise on C# or Python
Expertise in ML and understanding, fine tuning LLMs/SLMs

Qualifications

Bachelor’s/Master’s degree in Computer ScienceCertifications in Cloud technologies – AzureHands on knowledge of Fabric#KGS

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Manager - AI Architect