SymphonyAI - Lead AI Delivery Engineer - Python

SymphonyAI; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

SymphonyAI is seeking a Lead AI Delivery Engineer to drive the successful implementation of Predictive AI, ML, Generative AI, and Agentic AI solutions for industrial customers globally.

You will lead customer engagements, manage delivery projects, and provide technical leadership across AI, ML, and data analytics stacks. Bengaluru-based with global impact and growth opportunities.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, AI, Data Science or related discipline.
• 8+ years of experience in customer-facing technology delivery, industrial software implementation, or AI project delivery.
• 3+ years of hands‑on experience in AI, ML, advanced analytics, data contextualization, or data science projects.

Responsibilities

• Customer Engagement & Solution Delivery for AI initiatives.
• AI & Machine Learning implementation across client environments.
• Agentic AI & Generative AI delivery and integration.
• Project Leadership & Stakeholder Management.
• Customer Success & post-deployment support.
• Technical Leadership across teams and solutions.

Skills

AI delivery

ML

Data Science

Education

Engineering/CS/AI degree

Tools

Python

TensorFlow

PyTorch

Azure AI

OpenAI

Job description

Introduction

SymphonyAI Industrial is a leading provider of Artificial Intelligence-driven solutions that optimize the health, reliability, and operational performance of industrial assets and processes.

Introduction

SymphonyAI Industrial is a leading provider of Artificial Intelligence-driven solutions that optimize the health, reliability, and operational performance of industrial assets and processes.

Our cutting-edge IRIS platform combines Predictive AI, Generative AI, and Agentic AI capabilities to deliver real-time insights, predictive intelligence, and prescriptive recommendations across asset-intensive industries.

We are seeking an experienced Lead AI Delivery Engineer to drive the successful implementation of Predictive AI, Machine Learning, Generative AI, and Agentic AI solutions for industrial customers globally.

Responsibilities

• Customer Engagement & Solution Delivery
• AI & Machine Learning Implementation
• Agentic AI & Generative AI Delivery
• Project Leadership & Stakeholder Management
• Customer Success & Post-Deployment Support
• Technical Leadership

Required Skills & Qualifications

• Bachelors or Masters degree in Engineering, Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or related discipline.
• 8+ years of experience in customer-facing technology delivery, industrial software implementation, or AI project delivery.
• 3+ years of hands‑on experience in AI, Machine Learning, Advanced Analytics, Data Contextualization, or Data Science projects.

Tech Stack

• Python, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, Pandas.
• Generative AI, Agentic AI, RAG, Vector Databases, Multi-Agent Systems.
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants, MCP.
• Azure AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks.
• Power BI, Tableau, Plotly, Matplotlib.

Preferred Skills & Qualifications

• Predictive Maintenance, Reliability Engineering, Asset Performance Management, Digital Twins, Industrial IoT Platforms, Enterprise Generative AI Deployments, LLMOps and MLOps.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management.

Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

Diversity & Inclusion Statement

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.