Senior technical architect position cloud computing Jobs

Senior Solutions Architect - Generative AI
NVIDIA —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Firmware Engineer (Power)
Renesas Electronics —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- B.Sc
- Master's degree
Quick apply
Sr. Cloud Services Engineer
Finxera —Chandigarh
- Microsoft Powerpoint
- Microsoft Excel
- Computer Science
Backend Development
Phygital Insights —Bengaluru, Karnataka
- Full-time
- Computer Science
- AWS
- Project management
Sr Forward Deployed Engineer
Databricks —Remote
- Remote
- Azure
- AWS
- JavaScript
2h
Senior Data Engineer
Alight —Chennai, Tamil Nadu
- SQL
- AWS
- Scripting
- Health insurance
- Paid sick time
Senior End Client Architect
NICE —Pune, Maharashtra
- Remote
- Azure
- Windows
- Scripting
Quick apply
Enterprise Architect 4C
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
10d
Solution Architect
EVERSANA —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Software Engineer
Halliburton —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
4d
Technical Architect
Volga Infotec —Andheri West, Mumbai, Maharashtra
- Azure
- Windows
- SQL
Senior AI Engineer I
Jepp Aero Services India Private Ltd. —Bengaluru, Karnataka
- Hybrid work
- Computer Science
- System design
- Java
- Health insurance
- Paid time off
Quick apply
DevOps Engineer
Barclays —Pune, Maharashtra
- DevOps
- Banking
Sr. Engineer - DevOps 4B
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
Quick apply
3d
Senior Data Engineer – Databricks Specialist
AceNet Consulting —Bengaluru, Karnataka
- SQL
- APIs
- AI
Senior Field Application Engineer
Super Micro Computer —Bengaluru, Karnataka
- Computer Science
- Engineering
- Windows
Infrastructure Architect
Accenture —Gurugram, Haryana
- Full-time
- Azure
- AWS
- AI
Software Engineer
University Living Accommodations Pvt Ltd. —Unknown, Uttar Pradesh
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
EdTech Solutions Architect, India-PS
AWS India - Haryana —Noida, Uttar Pradesh
- Full-time
- AWS
- AI
- Analytics
11d
IN-Director_ Data Engineering__ Data & Analytics _ Advisory _Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
7d

I want to receive the latest job alerts for senior technical architect position cloud computing

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

senior technical architect position cloud computing jobs near

Senior Architect jobs in Pune, Maharashtra

Enterprise Architect jobs in Hyderabad, Telangana

Solution Architect jobs in Bengaluru, Karnataka

Devops Engineer jobs in Pune, Maharashtra

Field Application Engineer jobs in Bengaluru, Karnataka

Senior Devops Engineer jobs in Hyderabad, Telangana

Firmware Engineer jobs in Bengaluru, Karnataka

Senior Engineer jobs in Remote

Solution Architect jobs in Noida, Uttar Pradesh

Senior Software Engineer jobs in Bengaluru, Karnataka

Director Of Analytics jobs in Bengaluru, Karnataka

Ai Developer jobs in Bengaluru, Karnataka

Prestige Group, Architect jobs in Bengaluru, Karnataka

Senior Architect jobs in Nungambakkam, Chennai, Tamil Nadu

Spring Dale Senior School,amritsar jobs in Amritsar, Punjab

Senior Architect jobs in Malleswaram, Bengaluru, Karnataka

Aws Solution Architect jobs in Hyderabad, Telangana

L&t Construction, Architect jobs in Chennai, Tamil Nadu

Architect jobs in Calicut, Kerala

Government Architect jobs in Uttar Pradesh

Senior Solutions Architect - Generative AI

NVIDIA -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Azure
Law
Doctoral degree
Computer Science
Kubernetes
PyTorch
Software deployment
Master's degree
AWS
Docker
Presentation skills
Distributed systems
AI
Communication skills

Full job description

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Finetuning LLMs & Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly open source LLMs, and a strong proficiency in designing and implementing RAG-based workflows.

What You Will Be Doing:

Architect end-to-end generative AI solutions with a focus on LLMs training , deployment and Agentic AI workflows.
Collaborate closely with customers to understand their language-related business challenges and design tailored solutions.
Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and Agentic AI capabilities.
Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.
Engage directly with customers/partners to understand their requirements and challenges.
Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and Agentic AI workflows and lead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms.
Implement strategies for efficient and effective training of LLMs to achieve optimal performance.
Design and implement RAG-based workflows to enhance content generation and information retrieval.
Work closely with customers to integrate AI Agents into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.
Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

What We Need To See:

Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience
5+ years of hands-on experience in a technical AI role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs).
Proven track record of successfully deploying and optimizing LLM models for inference in production environments.
In-depth understanding of state-of-the-art language models, including but not limited to GPT, Nemotron, or similar architectures.
Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.
Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference.
Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd:

Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.
Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.
Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Apply Now

Refine Your Search

Senior Solutions Architect - Generative AI

Senior Firmware Engineer (Power)

Sr. Cloud Services Engineer

Backend Development

Sr Forward Deployed Engineer

Senior Data Engineer

Senior End Client Architect

Enterprise Architect 4C

Solution Architect

Senior Software Engineer

Technical Architect

Senior AI Engineer I

DevOps Engineer

Sr. Engineer - DevOps 4B

Senior Data Engineer – Databricks Specialist

Senior Field Application Engineer

Infrastructure Architect

Software Engineer

EdTech Solutions Architect, India-PS

IN-Director_ Data Engineering__ Data & Analytics _ Advisory _Bangalore

I want to receive the latest job alerts for senior technical architect position cloud computing

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected