Senior AI Architect
First seen by Alion on Sep 4, 2026.
About Impetus Technologies :
Impetus Technologies is a data and digital engineering company focused on helping enterprises unlock the value of data, analytics, cloud, and artificial intelligence. The organization works with enterprises to modernize data platforms, build scalable digital solutions, and apply advanced analytics and AI to solve complex business problems.
About the Role :
We are seeking an accomplished Senior AI Architect to lead the end-to-end architecture, design, and deployment of enterprise-grade AI solutions. The role will have a strong focus on Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AWS.
Key Responsibilities :
- Architect and own enterprise-grade AI solutions, with primary focus on Generative AI, LLMs, and RAG pipelines.
- Define and maintain AI/ML architecture standards, reference patterns, best practices, and governance models.
- Collaborate with cross-functional teams to translate business requirements into scalable AI architectures.
- Lead end-to-end solution delivery on AWS, covering data ingestion, model development, deployment, and monitoring.
- Evaluate emerging AI technologies and provide strategic recommendations for adoption.
- Mentor and guide cross-functional engineering teams on AI architecture and cloud practices.
- Ensure security, compliance, performance, and cost optimization across AI workloads.
Technical Requirements :
- 14 - 18 years of overall technology experience, with at least 5 years in AI/ML architecture and solution design.
- Proven experience architecting and deploying Generative AI solutions using LLMs (GPT, Llama, Gemini, etc.).
- Strong hands-on understanding of RAG, vector databases, prompt engineering, and LLM application architecture.
- Deep expertise in AWS AI/ML services (SageMaker, Bedrock, Lambda, etc.).
- Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Understanding of MLOps, CI/CD, and model lifecycle management.
- Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
Skills
Machine Learning, Artificial Intelligence, AI Architecture, AWS, Python, RAG, Cloud, Data Science, AWS SageMaker, AWS Bedrock