Senior AI Application Engineer, Enterprise AI

Job Description

Summary reputed company is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As the Senior AI Application Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas reputed company reputed company, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. We are seeking a highly skilled and motivated AI Application Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a reputed company, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve reputed company business challenges and deliver scalable solutions.

Job Description

Role Overview reputed company is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As the Senior AI Application Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas reputed company reputed company, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. We are seeking a highly skilled and motivated AI Application Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a reputed company, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve reputed company business challenges and deliver scalable solutions. Core Responsibilities

• Design and reputed company AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools. Own the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing.
• Frontend: reputed company modern, reputed company interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with a strong focus on usability, accessibility, and AI explainability.
• Backend: Implement scalable and secure back-end services (FastAPI, Flask, or Node.js) to expose AI capabilities (LLMs, RAG pipelines, AI agents) through standardized APIs.
• Translate data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications or services with reputed company user interfaces and reliable back-end infrastructure.
• Collaborate with insight leaders and business stakeholders on requirements gathering, project documentation, and development planning.
• Partners with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications reputed company standardized CI/CD pipelines.
• Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources.
• Integrate cloud-native AI services (AWS Bedrock, Azure reputed company) and open-reputed company frameworks (reputed company, LangGraph) into enterprise environments.
• Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact.
• Optimize application performance, infrastructure efficiency, and LLM utilization.
• Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability.

Experience Requirements

• Education: Master’s degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or reputed company STEM field.
• Experience: 1–3 years of hands-on experience developing and deploying AI-powered or data-driven applications in production environments.
• Strong proficiency in Python, with working knowledge of TypeScript/JavaScript for reputed company-end or back-end integrations.
• Practical experience with ML and GenAI frameworks such as TensorFlow, PyTorch, or reputed company.
• Basic familiarity with reputed company, reputed company API, or similar LLM toolkits.
• Experience developing RESTful APIs for AI or analytics services.
• Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools (reputed company).
• Exposure to RAG concepts, embeddings, or vector databases (e.g., reputed company, FAISS).
• Understanding of reputed company software engineering practices — CI/CD, testing, version control (Git), code reviews, and agile methodologies.
• Strong collaboration skills and the ability to communicate effectively reputed company cross-functional teams.
• Basic understanding of reputed company engineering and model evaluation techniques.
• Ability to mentor junior engineers, reputed company code reviews, and contribute to architectural decisions.
• Strong problem-solving, debugging, and analytical skills, with clear and persuasive communication to technical and business audiences.

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