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AI Solutions Delivery Lead

SymphonyAIbangalore, India

9 hours ago

Job description

Introduction

SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. We are on a mission to build a “World Class Engineering Team” with a high-performance culture.

Job Description

SymphonyAI Industrial ( is a leader in artificial intelligence-based monitoring, analysis, and predictive solutions that optimize the health and operational performance of industrial assets and processes. Our state-of-the-art Generative AI and Predictive AI powered IRIS platform integrates with a wide variety of sensors, historical data libraries, and both new and existing data streams to provide real-time predictive insights and prescriptive recommendations across industrial domains.

As an AI Solutions Delivery Engineer at SymphonyAI Industrial, you will play a pivotal role in driving the deployment and adoption of cutting-edge AI solutions for global industrial clients. You will engage across multiple fronts—product development, data science, model build and delivery, value tracking, ROI demonstration, and client change management—to ensure that our solutions deliver measurable business outcomes. This role requires exceptional technical acumen, proven client engagement skills, and the ability to seamlessly collaborate with teams and stakeholders across the globe.

Responsibilities

Collaborate with clients to understand their business needs, challenges, and objectives, and propose tailored AI solutions that deliver measurable value.
Lead the end-to-end data lifecycle—data contextualization, analysis, and AI / ML model deployment—ensuring seamless integration with client systems and platforms.
Manage AI service delivery projects, including planning, timelines, budgets, and stakeholder communication, while setting realistic expectations and ensuring client success.
Engage across product development, data science, model building, delivery, and ROI / value tracking, driving adoption and measurable impact of AI solutions.
Identify and mitigate project risks (e.g., data privacy, security, and model accuracy) through proactive communication and cross-functional coordination.
Ensure high standards of quality through rigorous testing, validation, and performance evaluation of AI models prior to deployment.
Provide technical leadership and mentorship to junior engineers, guiding them on best practices for AI solution deployment.
Support clients post-deployment with ongoing engagement, issue resolution, knowledge transfer, and change management activities.
Monitor and optimize deployed AI solutions, ensuring long-term reliability and performance improvements.

Qualifications

Bachelor’s or Master’s degree in a quantitative or engineering discipline.

10+ years of experience in AI / ML-based project delivery and customer success, with 3+ years in data contextualization, analysis, and model deployment.

Strong experience engaging and collaborating with US and European clients, demonstrating excellent communication and cultural adaptability.

Proven ability to work across product development, data science, model deployment, ROI / value tracking, and change management to drive successful client outcomes.

Proficiency in Python-based data science tools : Scikit-learn, NumPy, Pandas, TensorFlow, Keras, PyTorch.

Skilled with data visualization tools : Matplotlib, Plotly, Seaborn.

Strong knowledge of MS Project and / or Microsoft Planner for effective project management and delivery tracking.

Excellent written and verbal communication skills, with the ability to engage confidently with technical and business stakeholders.

Self-driven, quick learner, adaptable to the latest technologies, and capable of innovating at speed.

Willingness to travel as required to support client success.

About Us

SymphonyAI leads the way in innovation, harnessing cutting-edge AI and machine learning to transform industries worldwide. As a global powerhouse in AI solutions, we enable organizations to unlock the full potential of data-driven insights. With a presence in 20 countries, our enterprise applications deliver rapid, transformative value across retail, CPG, finance, manufacturing, media, IT, and public sectors. Combining unmatched AI technology, vertical expertise, and industry-specific insights, we create applications that drive maximum value for our customers. Join us in shaping the future as we build a "World Class Engineering Team" committed to high performance. With over 3000 talented leaders, data scientists, and professionals, we incubate and develop groundbreaking solutions within the SymphonyAI Group.

Responsibilities

Collaborate with clients to understand their business needs, challenges, and objectives, and propose tailored AI solutions that deliver measurable value.

Lead the end-to-end data lifecycle—data contextualization, analysis, and AI / ML model deployment—ensuring seamless integration with client systems and platforms.

Manage AI service delivery projects, including planning, timelines, budgets, and stakeholder communication, while setting realistic expectations and ensuring client success.

Engage across product development, data science, model building, delivery, and ROI / value tracking, driving adoption and measurable impact of AI solutions.

Identify and mitigate project risks (e.g., data privacy, security, and model accuracy) through proactive communication and cross-functional coordination.

Ensure high standards of quality through rigorous testing, validation, and performance evaluation of AI models prior to deployment.

Provide technical leadership and mentorship to junior engineers, guiding them on best practices for AI solution deployment.

Support clients post-deployment with ongoing engagement, issue resolution, knowledge transfer, and change management activities.

Monitor and optimize deployed AI solutions, ensuring long-term reliability and performance improvements.