Design, deployment, and integration of advanced AI/ML solutions for real-time manufacturing supply chain systems to drive operational excellence and innovation.
Requirements
- 12+ years in technical architecture, with 3+ years in AI/ML solution design and deployment.
- Proven experience in AI-driven platforms for manufacturing or supply chain.
- Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI).
- Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments.
- Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management.
- Familiarity with security, compliance (e.g., CCPA), and enterprise data governance.
- Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies.
Responsibilities
- Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives.
- Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage.
- Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems.
- Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization.
- Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses.
- Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference.
- Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence.
Other
- This is a hybrid position requiring 3 days a week in a client or Cognizant office in Plano, Texas.
- Excellent communication, stakeholder management, and technical leadership.
- Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.).
- Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers.
- Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team.
