Job Summary
We are seeking a highly skilled and hands-on Principal AI Solutions Architect to design, build, and deploy end-to-end AI systems across the organization's integrated value chain. This role is responsible for developing production-grade AI solutions, leveraging cloud-based platforms, and driving innovation across operations, supply chain, and enterprise systems.
The position requires strong expertise in machine learning, computer vision, optimization, and large-scale system design. The candidate will work closely with cross-functional stakeholders to translate business challenges into scalable AI solutions, ensuring measurable impact on performance and efficiency.
This is a hands-on role. The candidate is expected to write production-quality code, actively contribute to system implementation, and take ownership of delivering end-to-end solutions — not just design or propose architectures.
Key Responsibilities
1. Design and develop AI systems
- Design and build AI/ML solutions for large-scale operational environments
- Develop systems for time-series analysis, anomaly detection, and predictive modeling
- Implement computer vision solutions for inspection, monitoring, and quality control
- Optimize processes using data-driven and algorithmic approaches
2. Develop data-driven models and applications
- Build models using structured and unstructured data sources
- Apply predictive analytics and pattern recognition techniques
- Integrate domain-specific data into scalable machine learning pipelines
3. Build forecasting and optimization solutions
- Develop forecasting models using statistical, ML, or deep learning approaches
- Apply optimization techniques such as mathematical programming and heuristics
- Implement simulation and scenario-based decision systems
4. Develop enterprise AI and automation systems
- Build AI-powered applications for enterprise use cases
- Implement document understanding and information extraction solutions
- Develop GenAI/LLM-based systems such as RAG and intelligent assistants
- Automate workflows and integrate AI into enterprise platforms
5. Computer vision and advanced AI systems
- Develop detection, segmentation, and tracking models for industrial and operational use cases
- Build vision-language models for analytics, reporting, and knowledge extraction
- Deploy edge AI solutions for low-latency environments
6. Build and manage AI/ML platforms
- Develop and manage ML platforms for training, deployment, and monitoring
- Implement MLOps practices including experiment tracking and model registry
- Optimize model serving using modern inference frameworks
- Build scalable infrastructure using cloud and containerized environments
- Manage data pipelines and integration with enterprise systems
7. Collaborate and deliver production systems
- Write and maintain production-level code
- Own AI services end-to-end, including deployment and monitoring
- Collaborate with engineers and domain experts to deliver solutions
- Translate business requirements into deployable AI systems
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- 10+ years of experience in software engineering, AI, or machine learning
- Proven experience delivering production AI systems at scale
- Strong foundation in machine learning, optimization, and system design
- Experience with cloud platforms and distributed systems
- Proficiency in Python and at least one systems programming language (C++, Go, or Rust)
- Experience with MLOps, model deployment, and large-scale inference systems
- Strong problem-solving, analytical, and communication skills
- Ability to work across cross-functional teams and complex environments
