Senior AI Engineer, Supply Chain
At a glance
Senior AI Engineering role at Sensata. Pune · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications, agents, copilots and RAG solutions, taking them from initial design through production release
- Connect AI features to company systems, data sources and business workflows through integrations
- Create model training, evaluation, rollout and monitoring processes, then refine them for reliability and efficiency
- Track deployed models for drift, bias and performance problems, and put corrective changes in place
- Set quality and release checks, coordinate with technical teams and vendors, and mentor engineers on shared standards
What you bring
- At least five years delivering production software applications
- A university degree or equivalent relevant work experience
- Professional spoken and written English, with strong Python, API, systems integration and cloud skills
- Hands-on experience building AI, machine learning, generative AI or intelligent automation solutions
- Knowledge of testing, CI/CD, deployment automation and production support practices
Who this fits
This senior role suits an engineer who can lead AI applications from concept to production and work across data science, product, engineering and platform teams. You’ll also communicate technical trade-offs and mentor other engineers. The role is based in Pune, India.
From the employer
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.
SmarterTogether
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Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication
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