Hyderabad Telangana Ai architect Jobs – 1891 Open Jobs Today

Gen AI Architect
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Computer Science
- Master's degree
AI/Data Solutioning Engineer
ProArch —Hyderabad, Telangana
- ₹30,00,000 - ₹40,00,000 a year
- Full-time
- Remote
- Azure
- SQL
- Analysis skills
Quick apply
AI/ML Engineer/Architect (Open)
Micron —Hyderabad, Telangana
- Computer Science
- Research
- Master's degree
Agentic AI Developer ( MS Copilot Studio )
Spatial Alphabet —Hyderabad, Telangana
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Salesforce
- Master's degree
Quick apply
Architect - DevOps 4D
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
AI Architect
Knowledge Artisans Private Limited —Hyderabad, Telangana
- ₹80,000 - ₹2,50,000 a month
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
AI Engineer - India
Pulsora, Inc. —Hyderabad, Telangana
- Full-time
- Computer Science
- Java
- Master's degree
AVP – Sys Admin & AI Solution Architect (L10)
Synchrony —Hyderabad, Telangana
- Bachelor's degree
- AI
- Communication skills
- Work from home
2d
AI Product Architect
PepsiCo —Hyderabad, Telangana
- Call employer
- Remote
- Azure
- Salesforce
- Java
AI/ML Architect
Luxoft —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- System design
10d
Data Engineering Solutions Architect-Hyderabad
Umruz Tech Solutions Private Limited —Hyderabad, Telangana
- ₹40,00,000 - ₹48,00,000 a year
- Full-time
- Azure
- SQL
- AWS
- Health insurance
- Paid sick time
Quick apply
AI Security Architect Hyderabad, India Jul. 16, 2026
Alter Domus —Hyderabad, Telangana
- Azure
- Master's degree
- AWS
Architect-Agentic AI
PepsiCo —Hyderabad, Telangana
- Remote
- Analysis skills
- AI
- Communication skills
AI Python Engineer
Techolution —Hyderabad, Telangana
- Full-time
- Master's degree
- AWS
- APIs
- Health insurance
14d
AI/ML Architect (GenAI | Data-bricks | Snowflake | Azure)
Spatial Alphabet —Hyderabad, Telangana
- ₹35,00,000 - ₹45,00,000 a year
- Full-time
- Azure
- System design
- Master's degree
Quick apply
Associate Director AI Platform Architect
Novartis —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
AI Infrastructure Architect
Accenture —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Databases
Technical Architect – AI-Powered Career Services Portal (Subscription SaaS)
Galactix Solutions Pvt Ltd —Hyderabad, Telangana
- ₹5,00,000 - ₹14,00,000 a year
- Remote
- Java
- Master's degree
- Databases
- Work from home
Quick apply
AI Test Architect
WSA APAC —Hyderabad, Telangana
- Call employer
- Hybrid work
- Azure
- English
- Master's degree
Quick apply
AI (AMGBTTH10661) – Solution Architect (Exp: 15 Yrs+)
Bilvantis Technologies —Hyderabad, Telangana
- Azure
- English
- AI
Quick apply
12d

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Gen AI Architect

PepsiCo -
Hyderabad, Telangana

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Job details

Qualifications

TensorFlow
CI/CD
Azure
Law
Computer Science
Kubernetes
PyTorch
Git
Master's degree
Docker
Bachelor's degree
Continuous integration
Deep learning
Natural language processing
Data science
AI
Communication skills
Data Science

Full job description

Overview:

Overview:
The GenAI Technical Solutions Architect develops and implements GEN AI achitecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks. This role will focus on the technical development, deployment, Code reuse and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements.

Responsibilities:

Responsibilities:
1. Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), Ai agents, and embeddings. Balance build versus buy decisions, ensuring alignment with SaaS models and decision trees, particularly for the PepGenX platform. Emphasize low coupling and cohesive model development.
2. Lead working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, tag new components to reuse (components reuse strategy), patterns of the usecases, reuse components ( save efforts, time money).
3. Lead the implementation of LLM operations, focusing on optimizing model performance, scalability, and efficiency. Design and implement LLM agentic processes to create autonomous AI systems capable of complex decision-making and task execution.
4. Work closely with data scientists and AI professionals to identify and pilot innovative use cases that drive digital transformation. Assess the feasibility of these use cases, aligning them with business objectives, ROI and leveraging advanced AI techniques.
5. Gather inputs from various stakeholders to align technical implementations with current and future requirements. Develop processes and products based on these inputs, incorporating state-of-the-art AI methodologies.
6. Define AI architecture and select suitable technologies, with a focus on integrating RAG systems, embedding models, and advanced LLM frameworks. Decide on optimal deployment models, ensuring seamless integration with existing data management and analytics tools.
7. Audit AI tools and practices, focusing on continuous improvement of LLM ops and agentic processes. Collaborate with security and risk leaders to mitigate risks such as data poisoning and model theft, ensuring ethical AI implementation.
8. Stay updated on AI regulations and map them to best practices in AI architecture and pipeline planning. Develop expertise in ML and deep learning workflow architectures, with a focus on chunking strategies, embedding pipelines, and RAG system implementation.
9. Apply advanced software engineering and DevOps principles, utilizing tools like Git, Kubernetes, and CI/CD for efficient LLM ops. Collaborate across teams to ensure AI platforms meet both business and technical requirements.
10. Spearhead the exploration and application of cutting-edge Large Language Models (LLMs) and Generative AI, including multi-modal capabilities and agentic processes. Oversee MLOps, automating ML pipelines from training to deployment with a focus on RAG and embedding optimization.
11. Engage in sophisticated model development from ideation to deployment, leveraging advanced chunking and RAG techniques. Effectively communicate complex analysis results to business partners and executives.
12. Proactively reduce biases in model predictions, focusing on fair and inclusive AI systems through advanced debiasing techniques in embeddings and LLM training.
13. Design efficient data pipelines to support large language model training and inference, with a focus on optimizing chunking strategies and embedding generation for RAG systems.

Qualifications:

Experience:
1. Proven track record in shipping products and developing state-of-the-art Gen AI product architecture.
2. 10+ years of experience with a strong balance of business acumen and technical expertise in AI.
3. 5+ years in building and releasing NLP/AI software, with specific experience in RAG , Agents systems and embedding models.
4. Demonstrated experience in delivering Gen AI products, including Multi-modal LLMs, Foundation models, and agentic AI systems.
5. Deep familiarity with cloud technologies, especially Azure, and experience deploying models for large-scale inference using advanced LLM ops techniques.
6. Proficiency in PyTorch, TensorFlow, Kubernetes, Docker, LlamaIndex, LangChain, LLM, SLM, LAM, and cloud platforms, with a focus on implementing RAG and embedding pipelines.
7. Excellent communication and interpersonal skills, with a strong design capability and ability to articulate complex AI concepts to diverse audiences.
8. Hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models for various AI applications.

Qualifications:

Bachelor’s or master’s degree in computer science, Data Science, or a related technical field.
Demonstrated ability to translate complex technical concepts into actionable business strategies. Experience in data-driven decision-making processes.
Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Proven track record in managing and delivering AI/ML projects, with a focus on GenAI solutions, in large-scale enterprise environments.

Apply Now

Refine Your Search

ai architect jobs in hyderabad telangana

Gen AI Architect

AI/Data Solutioning Engineer

AI/ML Engineer/Architect (Open)

Agentic AI Developer ( MS Copilot Studio )

Architect - DevOps 4D

AI Architect

AI Engineer - India

AVP – Sys Admin & AI Solution Architect (L10)

AI Product Architect

AI/ML Architect

Data Engineering Solutions Architect-Hyderabad

AI Security Architect Hyderabad, India Jul. 16, 2026

Architect-Agentic AI

AI Python Engineer

AI/ML Architect (GenAI | Data-bricks | Snowflake | Azure)

Associate Director AI Platform Architect

AI Infrastructure Architect

Technical Architect – AI-Powered Career Services Portal (Subscription SaaS)

AI Test Architect

AI (AMGBTTH10661) – Solution Architect (Exp: 15 Yrs+)

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