Technical Architect - AI & GenAI Specialization

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 .

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 .
• Educational qualification: B-Tech / M-Tech Computer Science preferred
• Experience : 10 - 12 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.
• 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 comp

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