- Location
- Pune, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Bachelor
- Source
- Workday
Description
The Senior AI Engineer, Supply Chain designs, builds, and deploys enterprise AI solutions that integrate advanced AI models with business data, systems, and workflows. This role delivers scalable, production-ready applications that drive business value while leveraging modern AI technologies, automation, and engineering best practices.
General Responsibilities
- Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable.
- Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions.
- Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows.
- Improve model performance, latency, cost efficiency, reliability, and explainability in production environments.
- Develop reusable infrastructure, tooling, libraries, and patterns that accelerate team delivery.
- Monitor deployed models for performance degradation, bias, drift, and operational issues; recommend and implement corrective actions.
- Collaborate with stakeholders to communicate technical trade-offs, risks, timelines, and recommendations clearly.
- Mentor engineers and contribute to technical standards, best practices, and architecture decisions.
- Stay current with advances in practices.
Experience / Qualifications
- A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
- Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
- Strong communication skills; oral, written and presentation
- Strong organization, planning and time management skills to achieve results
- Strong personal and professional ethical values and integrity
- Holds self-accountable to achieving goals and standards
- Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
- Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers
Additional Responsibilities:
- Lead the development and deployment of enterprise AI applications from concept through production.
- Build AI-powered solutions including intelligent agents, copilots, and retrieval-augmented generation (RAG) applications.
- Develop integrations that connect AI capabilities with enterprise systems, data sources, and business processes.
- Create reusable frameworks, components, and engineering standards that accelerate solution delivery.
- Establish testing, evaluation, and release criteria to ensure solution quality, reliability, and business impact.
- Partner with internal teams and external vendors to ensure AI solutions meet technical, security, and operational requirements.
Additional Qualifications:
- 5+ years of software engineering experience delivering production applications.
- Professional proficiency in spoken and written English
- Experience developing AI, machine learning, generative AI, or intelligent automation solutions.
- Strong proficiency in Python, APIs, system integration, cloud technologies, and modern software development practices.
- Experience with AI technologies such as large language models (LLMs), intelligent agents, copilots, or retrieval-augmented generation (RAG).
- Knowledge of software testing, CI/CD, deployment automation, and production support best practices.
- Experience integrating solutions with enterprise platforms, business applications, and data ecosystems.
- Azure, Azure AI services, Copilot Studio, or Power Platform experience preferred.
- Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.
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Skills
PythonAzureCI/CDMachine LearningData ScienceData EngineeringExcelWorkday