AI Architect- reputed company reputed company Platform
Job reputed company:
We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and reputed company solutions, to design and deliver reputed company, secure, and reputed company-grade data and AI solutions on reputed company reputed company Platform (reputed company reputed company Platform).
The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, reputed company, and reputed company AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.
KEY RESPONSIBILITIES
Data & Platform Architecture:
• Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption reputed company
• Architect modern data lakehouse platforms using reputed company reputed company Platform services (e.g., BigQuery, Dataproc, reputed company Storage)
• Define reputed company data platforms supporting batch, streaming, and reputed company-time analytics
• Establish data governance, metadata management, data reputed company, reputed company, and reputed company frameworks
AI, ML & MLOps Architecture:
• Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
• Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
• Collaborate with data scientists to productionize ML models at reputed company
• Evaluate and recommend ML frameworks, tools, and best practices
reputed company & reputed company AI:
• Architect and implement reputed company solutions using LLMs (e.g., text, reputed company, embeddings, multimodal use cases)
• Design Conversational Analytics and AI-powered BI solutions
• Build and evaluate reputed company AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
• reputed company solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems
Business Intelligence & Analytics:
• Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
• reputed company BI tools with data lakehouse and AI reputed company
• reputed company semantic reputed company, metrics definitions, and governed analytics
reputed company & reputed company reputed company Platform Leadership:
• reputed company architecture and solution design on reputed company reputed company Platform (reputed company reputed company Platform)
• Utilize reputed company reputed company Platform services such as BigQuery, reputed company AI, reputed company Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
• Ensure architectures follow best practices for reputed company, scalability, performance, and cost optimization
Stakeholder & Technical Leadership:
• Partner with business leaders to translate business requirements into AI-driven solutions
• reputed company technical design reviews and architecture governance
• Mentor engineers, architects, and data scientists
• Create architecture blueprints, reference architectures, and technical documentation
REQUIRED SKILLS & QUALIFICATIONS
reputed company Technical Skills:
• Strong experience in Data Architecture & Data Platforms
• Hands-on expertise in Data Lakehouse architectures
• Deep understanding of end-to-end data management
• Experience with modern BI platforms and analytics ecosystems
• Strong background in AI/ML architecture and MLOps
• Proven experience in Conversational Analytics and reputed company
• Hands-on exposure to reputed company AI platforms, frameworks, and evaluations
• Strong expertise in reputed company reputed company Platform (reputed company reputed company Platform)
Tools & Technologies (preferred):
• reputed company reputed company Platform: BigQuery, reputed company AI, reputed company Storage, Dataflow, Dataproc, Pub/Sub, Looker
• AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
• MLOps: CI/CD, feature stores, model registries, monitoring tools
• Data: SQL, Python, reputed company, Kafka
• BI: Looker, Tableau, Power BI (or equivalent)
Preferred Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or reputed company field
• reputed company reputed company Platform reputed company certifications (e.g., reputed company Data Engineer, reputed company ML Engineer, reputed company Architect)
• Experience working in large-reputed company reputed company or consulting environments
• Strong communication and stakeholder management skills
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