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Salary
≈ $22k – $48k per year (Estimated)
Location
In office (Noida, Pune, Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match
Impetus is a software products and services firm that leverages big data and automation technologies to deliver solutions that empower real-time data-driven enterprises from Fortune 1000 lists.
Backed by Kedaara Capital

Job Description :

We are looking for a Lead AI Engineer to design, architect, and optimize enterprise AI solutions with a strong focus on Generative AI, AI/ML frameworks, AWS cloud services, and healthcare EMR/EHR systems.

The ideal candidate should possess a strong design-thinking mindset, expertise in AI solution architecture, and the ability to drive innovation, scalability, and performance across AI platforms.

Key Responsibilities :

- Lead the design and development of AI/ML and Generative AI solutions.

- Architect scalable AI applications using modern AI frameworks and LLM ecosystems.

- Apply design thinking principles to solve business and user experience challenges.

- Optimize AI solutions for performance, accuracy, scalability, latency, and cost.

- Design and implement AI platforms on AWS.

- Build AI solutions leveraging EMR jobs data.

- Mentor engineering teams and establish AI best practices, governance, and architecture standards.

Tech Stack :

- AI/ML: Generative AI, LLMs, RAG, Agentic AI, LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, Hugging Face, PyTorch, TensorFlow.

- AI Optimization: Prompt Engineering, Fine-Tuning, Quantization, Distillation, Model Performance Optimization.

- AWS: Bedrock, SageMaker, Lambda, ECS/EKS, S3, OpenSearch, API Gateway.

- Practices: MLOps/LLMOps, Deployment Pipelines.

Preferred Qualifications :

- AWS Solutions Architect or AWS Machine Learning Certification.

- Experience leading AI engineering teams and enterprise AI transformation initiatives.

Skills

Machine Learning, Generative AI, AWS, Python, LLM, RAG, Agentic AI, LangChain, LangGraph, Tensorflow, PyTorch

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