AI Architect

AI Architect

Bengaluru, India - On-site

TESCRA

Bengaluru, India

Full-time

Senior - 10+ years

Job Overview

TESCRA is seeking a highly experienced and innovative AI Architect to spearhead the design and implementation of cutting-edge AI/ML solutions across our enterprise applications. The ideal candidate will possess extensive hands-on expertise in Generative AI, Large Language Models (LLMs), Machine Learning, and cloud platforms. This role demands a strategic thinker capable of translating complex business requirements into robust, scalable, and secure AI architectures. You will play a pivotal role in defining our AI technology roadmap and ensuring the successful adoption of AI across the organization.

Key Responsibilities

• Design and lead the development of end-to-end AI/ML and Generative AI architectures tailored for diverse enterprise use cases.
• Define the technology strategy, establish architectural patterns, frameworks, and best practices for AI solutions.
• Architect advanced solutions leveraging LLMs, Retrieval Augmented Generation (RAG), AI agents, Natural Language Processing (NLP), Machine Learning, and Deep Learning.
• Design and implement sophisticated RAG pipelines, encompassing document ingestion, chunking strategies, embedding generation, vector database integration, retrieval mechanisms, and reranking processes.
• Evaluate, select, and integrate leading LLMs such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or relevant open-source models.
• Design and architect AI solutions utilizing major cloud platforms including AWS, Azure, or Google Cloud.
• Collaborate closely with engineering, data science, product management, and business stakeholders to translate requirements into actionable technical designs.
• Define and design APIs, microservices, data pipelines, model-serving architectures, and robust integration patterns.
• Establish and enforce best practices for AI security, governance, responsible AI principles, data privacy, and model evaluation methodologies.
• Optimize AI solutions for performance, scalability, reliability, latency, and cost-effectiveness.
• Provide technical leadership and guidance to development teams throughout the entire implementation lifecycle.
• Conduct thorough technology evaluations, lead Proofs of Concept (PoCs), and recommend suitable AI/ML technologies.
• Mentor junior engineers and actively contribute to the evolution of architecture standards and technical documentation.

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a closely related technical field.

Must-Have Skills

• 10+ years of progressive experience in software engineering, solution architecture, AI/ML, or a related technical discipline.
• Demonstrated strong experience in designing and architecting AI/ML and Generative AI solutions.
• Hands-on proficiency with Python, and a strong understanding of Java/JavaScript.
• Deep understanding of LLMs, prompt engineering techniques, RAG principles, embeddings, vector databases, and AI agents.
• Experience with AI/ML frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.
• Solid knowledge of Machine Learning and Deep Learning concepts and their practical application.
• Experience with cloud AI services, including Azure OpenAI, AWS Bedrock/SageMaker, or Google Vertex AI.
• Proficiency with containerization technologies (Docker), orchestration (Kubernetes), REST APIs, microservices architecture, and CI/CD pipelines.
• Knowledge of database systems, data engineering principles, data pipelines, and distributed systems.
• Experience with AI/ML deployment strategies, monitoring, model evaluation, and MLOps/LLMOps practices.
• Strong understanding of enterprise architecture principles, security best practices, scalability considerations, and integration patterns.

Good-to-Have Skills

• Proven experience in building enterprise-grade AI-powered applications or sophisticated AI agents.
• Exposure to multimodal AI, computer vision, speech processing, or advanced NLP techniques.
• Familiarity with open-source LLMs such as Llama, Mistral, or similar models.
• Experience working with various vector databases, including Pinecone, FAISS, Weaviate, Milvus, or Azure AI Search.
• Knowledge of AI governance frameworks, Responsible AI implementation, and model security protocols.
• Experience operating within large-scale enterprise or product development environments.

Pay Rate/Salary

Competitive salary commensurate with experience and qualifications.

Number of Openings

1