Sensata Xirgo

Senior AI Engineer, Supply Chain

Posted 8 Days Ago

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Pune, Maharashtra, IND

In-Office

Senior level

Other

The Role

Designs, builds, deploys, and maintains production AI applications, models, services, and pipelines for supply chain use cases. Develops intelligent agents, copilots, and RAG solutions integrated with enterprise systems and data. Establishes testing, evaluation, monitoring, deployment, and release practices while improving performance, reliability, cost, and explainability. Partners with technical teams and vendors, contributes to architecture and engineering standards, communicates trade-offs, and mentors engineers.

Summary Generated by Built In

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 Required

Bachelor’s degree or equivalent relevant work experience
Ability to work effectively in a fast-paced environment and manage competing tasks
Strong oral, written, presentation, organization, planning, and time-management skills
Strong ethical values, integrity, and personal accountability
Proficiency with Microsoft Office, including Outlook, Word, PowerPoint, and Excel
Strong interpersonal and collaboration skills with internal teams, suppliers, and external customers
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 large language models, intelligent agents, copilots, or retrieval-augmented generation
Knowledge of software testing, CI/CD, deployment automation, and production support practices
Experience integrating solutions with enterprise platforms, business applications, and data ecosystems
Experience with Azure, Azure AI services, Copilot Studio, or Power Platform
Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field

Sensata Xirgo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sensata Xirgo and has not been reviewed or approved by Sensata Xirgo.

Fair & Transparent Compensation — Total compensation aligns with peer industrial‑tech firms for several U.S. roles, with some titles tracking near or above market norms. This positioning supports a generally acceptable pay experience for many roles.
Leave & Time Off Breadth — U.S. policies include flexible or “unlimited” PTO and a dedicated paid volunteer-time allotment, broadening time-off options. Company programs also run an annual Day of Service across sites.
Flexible Benefits — Benefits highlight flexible work schedules and optional telecommuting for certain roles, offering adaptability in how work and time off are managed. Inclusion programs and ERGs further extend non-cash support.