Artificial Intelligence Engineer (Bengaluru)

Artificial Intelligence Engineer (Bengaluru)

02 Oct
|
Sourcingxpress
|
Bengaluru

02 Oct

Sourcingxpress

Bengaluru

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Service

Business Model: B2B

Funding Stage: Private Equity

Industry: Software Development

Salary Range: ₹ 25-60 Lacs PA

Job Description

Manager / Team Lead – Agentic AI & ML

Location: Bangalore

Work Mode: Hybrid

Role Overview

We are looking for an experienced Manager / Team Lead – AI Engineering to lead a multidisciplinary team of AI Engineers and Data Scientists building enterprise-grade GenAI, Agentic AI, LLM, RAG, and Machine Learning solutions.

The role combines technical leadership, people management, architecture, delivery ownership, and product engineering. The ideal candidate should be technically robust enough to guide senior engineers and data scientists, influence architecture and implementation decisions, and ensure AI/ML solutions are scalable, secure, reliable, observable, and production-ready.

You will work closely with Product Managers, Solution Architects, AI/ML Leads, Data Science, Platform, DevOps, Security, Architecture,



and business teams to convert business requirements into scalable AI products and engineering solutions.

Key Responsibilities

• Lead, mentor, and develop a team of AI Engineers and Data Scientists, including senior engineers and technical leads.
• Own end-to-end delivery of GenAI, Agentic AI, LLM, RAG, and ML solutions from discovery and design through deployment, production support, and continuous improvement.
• Provide technical direction for LLM applications, agent orchestration, RAG pipelines, embeddings, vector search, APIs, microservices, and cloud-native solutions.
• Guide the development and productionization of ML models for prediction, classification, recommendation, anomaly detection, forecasting, and optimization use cases.
• Establish strong practices around feature engineering, experimentation, model validation, evaluation, explainability, monitoring, and MLOps.
• Translate business and product priorities into tec

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Sourcingxpress
📍 Bengaluru

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