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Gen AI Architect
Ericsson —Kolkata, West Bengal
- Azure
- Computer Science
- Master's degree
8h

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Gen AI Architect
Ericsson —Kolkata, West Bengal
We're seeking an experienced GenAI/AI Architect to lead the design and implementation of enterprise-scale artificial intelligence solutions.
8h
Large Language Model Architect
Accenture —Kolkata, West Bengal
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients,…
14d

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Gen AI Architect

Ericsson -
Kolkata, West Bengal

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Job details

8 hours ago

Qualifications

TensorFlow
CI/CD
Azure
Cloud architecture
Statistics
Computer Science
Kubernetes
Software deployment
Master's degree
Databases
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
AI
Python

Full job description

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About this opportunity:

We're seeking an experienced GenAI/AI Architect to lead the design and implementation of enterprise-scale artificial intelligence solutions. You'll own the complete architecture journey—from strategy through production deployment—working across technical and business teams to translate AI capabilities into measurable business value. This role is ideal for someone who combines deep technical expertise with the ability to navigate complex organizational landscapes and emerging technology trends.

What you will do:

Design end-to-end architectures for production-grade GenAI/AI systems, establishing reference architectures and reusable patterns for enterprise adoption
Evaluate and recommend large language models, vector databases, and orchestration frameworks based on performance, cost, compliance, and security requirements
Architect retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems for scalable deployment
Collaborate with data scientists, security teams, developers, and business leaders to align technical solutions with organizational needs
Embed governance, privacy, and ethical frameworks into AI systems from design through deployment
Guide teams on model lifecycle management, including deployment strategies, monitoring, performance optimization, and handling model drift
Evaluate tools and frameworks for system integration and interoperability
Drive adoption of cloud-native AI services and optimize for scalability and performance
Stay informed on GenAI/AI advancements and regulations, translating insights into actionable strategic roadmaps

The skills you bring:

Bachelor's or master's degree in computer science, statistics, engineering, or related field
Proven track record architecting large-scale AI/ML systems in production environments
Deep expertise in Python, machine learning frameworks (PyTorch, TensorFlow), and deep learning practices
Strong knowledge of large language model architectures, fine-tuning techniques, and deployment strategies
Hands-on experience with RAG pipelines, embeddings, and vector databases
Familiarity with agentic GenAI frameworks and integration protocols
Cloud architecture experience (AWS, Azure) and container orchestration (Docker/Kubernetes)
Solid understanding of MLOps principles: CI/CD pipelines, observability, model governance, and retraining workflows
Ability to communicate complex AI strategies effectively to technical and non-technical stakeholders
Demonstrated commitment to responsible AI, including governance and ethical considerations
Bonus: Experience scaling AI solutions in telecom or similar complex enterprise environments

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