Technical Architect – AI & Gen AI Specialization

Key Responsibilities

Architecture Development

• Define and implementAI architecturefor enterprise applications.
• Develop AI frameworks and models thatintegrate with existing enterprise systems.
• Ensure AI solutions are scalable, secure, and compliant withdata 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 anddrive innovation in AI-driven automation, personalization, and optimization.

AI Model Development & Optimization

• Execute thetraining, fine-tuning, and deploymentof LLMs and ML models.
• Optimize model performance usingtechniques such as prompt engineering, retrieval-augmented generation (RAG), and knowledge distillation.
• ImplementMLOps and AIOpsbest practices for continuous model monitoring and improvement.

Cloud & Infrastructure Integration

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

Cross-Functional Collaboration

• Work closely withengineering, data science, product, and business teamsto 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 toethical AI principles, bias mitigation, and fairness.
• ImplementAI governance frameworksfor explainability, accountability, and security.
• Address risks related toAI 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 experiencewithLLMs (GPT, Llama, Claude, etc.), ML frameworks (TensorFlow, PyTorch, Hugging Face), and deep learning models.
• Expertise inGenAI applications, including chatbots, code generation, multimodal AI, and synthetic data generation.
• Experience withRAG, vector databases (FAISS, Pinecone, Weaviate), and embeddings.
• Proficiency inAI-driven knowledge management, summarization, and automation.

Software Architecture & Engineering

• Strong understanding ofenterprise software architectures, microservices, APIs, and distributed computing.
• Hands-on experience withPython, Java, Go, or other relevant languages.
• Familiarity withGraphQL, REST APIs, and event-driven architectures.
• Experience withMLOps pipelines, CI/CD for AI, and automated AI workflows.

Cloud & DevOps

• Expertise in deploying AI models onAzure, AWS, or Google Cloud.
• Experience withserverless AI architecture, Kubernetes, and cloud-native AI.
• Knowledge ofdata engineering, data lakes, and streaming analytics for AI.

Preferred Skills :

Leadership & Communication

• Ability totranslate complex AI conceptsinto business-friendly insights.
• Strong stakeholder management, presentation, and decision-making skills.