SymphonyAI - Lead Delivery Engineer - Agentic AI

SymphonyAI; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

SymphonyAI in Bengaluru seeks an experienced Lead AI Delivery Engineer to drive predictive AI, ML, Generative AI, and agentic AI solutions for industrial customers globally. You will lead customer engagements, oversee solution delivery, and guide technical teams through complex deployments.

The role requires 8+ years in technology delivery and 3+ years hands-on AI project work, with strong skills in Python, AI frameworks, and cloud platforms.

Qualifications

• 8+ years in customer-facing technology delivery, industrial software implementation, or AI project delivery.
• 3+ years hands-on experience in AI, ML, analytics, data contextualization, or data science projects.
• Bachelors or Masters degree in Engineering, CS, AI, Data Science, Statistics or related discipline.

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.

Skills

Customer engagement

Project leadership

Technical leadership

Stakeholder management

Cross-functional collaboration

Education

Bachelors or Masters in Engineering/CS/AI/Data Science/Statistics/Math

Tools

Python

TensorFlow

PyTorch

Keras

LangChain

Azure AI

AWS Bedrock

Databricks

Power BI

Tableau

Job description

Position Overview

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.

Key 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 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.

Technical Skills

• 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 Experience

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