Team Lead-AI Engineer

We are looking for an experienced AI Engineering Team Lead to lead the design and delivery of enterprise-scale AI and GenAI solutions. The ideal candidate will bring strong hands-on expertise in AI/ML along with proven project leadership skills to drive high-quality, production-ready AI systems.

This role involves hands-on model development, architectural decision-making, mentoring engineers, and ensuring delivery excellence within an agile, fast-paced environment.

Key Responsibilities

Technical Leadership

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  Lead a team of AI/ML engineers across multiple projects and delivery phases.

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  Design and architect scalable AI/ML and GenAI solutions aligned with business needs.

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  Review model designs, experiments, and code to ensure technical quality and robustness.

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  Collaborate with architects, product owners, and domain experts to translate requirements into AI-driven solutions.

AI / ML Development

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  Design, develop, and deploy machine learning models using Python and modern ML frameworks.

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  Build AI solutions across NLP, Computer Vision, predictive analytics, and optimization use cases.

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  Develop and integrate GenAI solutions using LLMs, prompt engineering, and RAG pipelines.

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  Implement data preprocessing, feature engineering, model evaluation, and optimization workflows.

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  Ensure scalability, security, and reliability of AI systems in production environments.

Delivery & Collaboration

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  Own sprint planning, backlog refinement, and execution for AI projects.

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  Work closely with QA, DevOps, Product, and Cloud teams for smooth releases.

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  Track delivery progress, identify technical and delivery risks, and propose mitigation strategies.

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  Mentor junior engineers and promote best practices in AI engineering and MLOps.

Process & Quality

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  Drive Agile/Scrum practices with a focus on predictable and high-quality deliveries.

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  Maintain clear documentation including solution architecture, model design, and data flows.

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  Support CI/CD pipelines, MLOps workflows, and cloud deployment readiness.

Requirements

• 8–10 years of experience in AI/ML engineering, with at least 2–3 years in a team lead role.
  
• Strong expertise in:
  
• Programming: Python
  
• ML Frameworks: TensorFlow, PyTorch, scikit-learn
  
• AI Domains: NLP, Computer Vision, predictive analytics
  
• Data Engineering: ETL pipelines, feature engineering, structured & unstructured data
  
• Experience with GenAI technologies including LLMs, prompt engineering, RAG pipelines, and vector databases.
  
• Hands-on experience with Docker, Git, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
  
• Solid understanding of Agile delivery, AI system architecture, and performance optimization.

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
  
• Experience building enterprise or SaaS-based AI platforms.
  
• Familiarity with LangChain, LangGraph, OpenAI / Azure OpenAI, or open-source LLMs.
  
• Exposure to MLOps practices such as model monitoring, drift detection, and retraining pipelines.
  
• Domain exposure in AEC, Manufacturing, Energy, or Industrial systems is a plus.

• Strong leadership and mentoring abilities.
  
• Clear communication with technical and non-technical stakeholders.
  
• Team-oriented mindset with a focus on collaboration and quality.
  
• Self-driven, detail-oriented, and delivery-focused.

Benefits

• Opportunity to work with a dynamic and fast-paced engineering IT organization.
  
• Be part of a company that is passionate about transforming product development with technology.