Lead AI Delivery Engineer

Introduction

Job Title: Lead AI Delivery Engineer

Overview:

SymphonyAI Industrial is a leader in AI-driven solutions designed to enhance the health, reliability, and operational performance of industrial assets and processes. Our innovative IRIS platform integrates Predictive AI, Generative AI, and Agentic AI to provide real-time insights, predictive intelligence, and prescriptive recommendations for asset-intensive industries. We are seeking an experienced Lead AI Delivery Engineer to ensure the successful implementation of these solutions for industrial customers on a global scale.

Job Description

Responsibilities:

Customer Engagement & Solution Delivery

• Collaborate with clients to understand their needs and deliver tailored AI solutions to meet their objectives.
• Manage solution delivery timelines and ensure alignment with customer expectations.
  
  

AI & Machine Learning Implementation

• Lead the implementation of AI and machine learning models using industry-standard tools and frameworks.
• Apply advanced analytics and data science techniques to optimize solution delivery.
  
  

Agentic AI & Generative AI Delivery

• Drive the deployment of Agentic AI and Generative AI solutions, leveraging the IRIS platform's capabilities.
• Integrate cutting-edge AI technologies to enhance customer operations.
  
  

Project Leadership & Stakeholder Management

• Lead project teams through the AI solution delivery lifecycle, ensuring stakeholder alignment and satisfaction.
• Communicate effectively with internal and external stakeholders to facilitate project success.
  
  

Customer Success & Post-Deployment Support

• Provide post-deployment support to ensure sustained customer success and solution optimization.
• Troubleshoot and resolve any issues that arise post-implementation.
  
  

Technical Leadership

• Maintain a deep understanding of AI technologies and trends to guide solution development and delivery.
• Mentor and develop team members to build technical expertise and delivery capability.
  
  

Required Skills & Qualifications:

• Bachelor's or Master's 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.
• Proficiency in Python and libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, and Pandas.
• Experience with Generative AI, Agentic AI, RAG, Vector Databases, and Multi-Agent Systems.
• Familiarity with tools like LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants, MCP.
• Expertise in cloud-based AI platforms: Azure AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks.
• Data visualization skills using Power BI, Tableau, Plotly, and Matplotlib.
  
  

Preferred Skills & Qualifications:

• Experience in Predictive Maintenance, Reliability Engineering, and Asset Performance Management.
• Knowledge of Digital Twins, Industrial IoT Platforms, and Enterprise Generative AI Deployments.
• Understanding of LLMOps and MLOps practices.
  
  

Compensation & Benefits:

• Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
• Opportunities for professional growth and development within a leading AI technology company.
  
  

Diversity & Inclusion Statement:

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

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.