Technical Architect – AI & Gen AI Specialization

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

About the Role

We are seeking a highly skilled and Technical Architect AI & GenAI Specialization for design and implementation of cutting-edge AI-driven enterprise solutions. This role requires deep expertise in Artificial Intelligence (AI) Generative AI (GenAI) Large Language Models (LLMs) Machine Learning (ML) and Cloud AI services.

Key Responsibilities

Architecture Development

Define and implement AI architecture for enterprise applications.
Develop AI frameworks and models that integrate with existing enterprise systems.
Ensure AI solutions are scalable secure and compliant with data privacy regulations (GDPR CCPA etc.).

Technical Leadership & Innovation

Architect AI-powered platforms that support Gen-AI & AI frameworks and models.
Stay ahead of AI advancements and drive innovation in AI-driven automation personalization and optimization.

AI Model Development & Optimization

Execute the training fine-tuning and deployment of LLMs and ML models.
Optimize model performance using techniques such as prompt engineering retrieval-augmented generation (RAG) and knowledge distillation.
Implement MLOps and AIOps best practices for continuous model monitoring and improvement.

Cloud & Infrastructure Integration

Design and deploy AI solutions on Azure AI AWS SageMaker Google Vertex AI or OpenAI services.
Ensure AI applications are cloud-native containerized (Docker Kubernetes) and scalable.
Implement data pipelines feature stores and vector databases for efficient AI processing.

Cross-Functional Collaboration

Work closely with engineering data science product and business teams to align AI initiatives with company goals.
Provide technical mentorship and guidance to AI engineers and developers.
Communicate AI strategy and roadmaps to senior leadership and stakeholders.

Security Compliance & Responsible AI

Ensure AI solutions adhere to ethical AI principles bias mitigation and fairness.
Implement AI governance frameworks for explainability accountability and security.
Address risks related to AI hallucinations adversarial attacks and regulatory compliance.

Qualifications :

Educational qualification: B-Tech / M-Tech Computer Science preferred

Experience : 10 Years

Mandatory/requires Skills :
Core AI & GenAI Expertise

Strong hands-on experience with LLMs (GPT Llama Claude etc.) ML frameworks (TensorFlow PyTorch Hugging Face) and deep learning models.
Expertise in GenAI applications including chatbots code generation multimodal AI and synthetic data generation.
Experience with RAG vector databases (FAISS Pinecone Weaviate) and embeddings.
Proficiency in AI-driven knowledge management summarization and automation.

Software Architecture & Engineering

Strong understanding of enterprise software architectures microservices APIs and distributed computing.
Hands-on experience with Python Java Go or other relevant languages.
Familiarity with GraphQL REST APIs and event-driven architectures.
Experience with MLOps pipelines CI/CD for AI and automated AI workflows.

Cloud & DevOps

Expertise in deploying AI models on Azure AWS or Google Cloud.
Experience with serverless AI architecture Kubernetes and cloud-native AI.
Knowledge of data engineering data lakes and streaming analytics for AI.

Preferred Skills :

Leadership & Communication

Ability to translate complex AI concepts into business-friendly insights.
Strong stakeholder management presentation and decision-making skills.

Additional Information :

Why Join Us

Opportunity to lead enterprise-wide AI initiatives at scale.
Work with state-of-the-art AI technologies and a world-class team.
Competitive compensation benefits and career growth opportunities.
A culture of innovation collaboration and continuous learning.

If youre a forward-thinking AI architect apply now!

Remote Work :

Employment Type :

Full-time

About the RoleWe are seeking a highly skilled and Technical Architect AI & GenAI Specialization for design and implementation of cutting-edge AI-driven enterprise solutions. This role requires deep expertise in Artificial Intelligence (AI) Generative AI (GenAI) Large Language Models (LLMs) Machine ...