AI Architect
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on May 14, 2026. Buildxpartners scores D on the Alion truth index.
Job Title: AI Architect
Experience: 8+ Years
Location: Chennai/Pune/Bangalore/Coimbatore
About the Company:
Our client is a fast-growing technology-driven organization focused on building scalable, cloud-based data platforms and modern analytics solutions. The company specializes in leveraging cutting-edge cloud technologies and data engineering practices to enable data-driven decision-making. With a strong focus on innovation, data quality, and governance, the organization fosters a collaborative and high-performance engineering culture.
Role Overview:
We are looking for an innovative AI Architect who will lead the design and implementation of Agentic AI, Generative AI (GenAI), and Large Language Model (LLM)-driven solutions across enterprise applications. The ideal candidate will bridge research and production by defining AI strategy, architecture, and scalable model pipelines that transform business outcomes.
Key Responsibilities:
Architect and design end-to-end AI systems leveraging LLMs, GenAI, and Agentic AI frameworks.
Define AI/ML solution architecture involving data ingestion, model training, orchestration, and deployment across Azure / AWS / GCP.
Work on prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning of open-source and proprietary LLMs.
Collaborate with Data Scientists, MLOps Engineers, and Software Developers to operationalize AI solutions in production environments.
Design and implement AI agent workflows using frameworks such as LangChain, LlamaIndex, Haystack, or Semantic Kernel.
Ensure responsible AI principles focusing on security, compliance, governance, and ethical AI usage.
Define AI observability and governance frameworks to monitor model drift, bias, performance, and reliability.
Evaluate emerging GenAI tools, multimodal AI technologies, and Agentic AI capabilities for enterprise adoption.
Provide technical leadership and mentorship to AI teams through architecture reviews and best practices.
Drive scalable deployment strategies for enterprise AI applications including copilots, chatbots, document intelligence, and AI assistants.
Required Skills:
10+ years of experience in software development with at least 4+ years in AI/ML/GenAI architecture.
Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
Strong understanding of transformer-based architectures including GPT, BERT, T5, LLaMA, Claude, Gemini, etc.
Proven expertise in LLM integration, prompt engineering, RAG, vector databases (FAISS, Pinecone, Chroma, Milvus).
Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, OpenAI, or Azure OpenAI.
Strong knowledge of MLOps pipelines, CI/CD, model deployment, and AI infrastructure.
Experience with Azure ML, SageMaker, Vertex AI, or equivalent AI platforms.
Good understanding of Docker, Kubernetes, APIs, microservices, and cloud-native architectures.
Experience integrating GenAI solutions into enterprise applications.
Strong communication, architecture, stakeholder management, and solution design skills.
Eligibility / Qualifications:
Education: Bachelor’s degree in IT / Computer Science / Engineering / related field