AI Specialist

Edwards Vacuum; Maharashtra; Sur place; INR 2 400 000 - 4 200 000; Plein temps

Avantages offerts par ce poste

Global opportunities

Excellent remuneration package

Healthy work-life balance

Résumé du poste

Edwards Vacuum is seeking an AI lead to identify high-impact AI use cases and deliver production-ready AI solutions in a global setting. The role focuses on leveraging LLMs, RAG, embeddings, and agent-based architectures to improve efficiency, quality, and decision-making across teams.

The candidate should have a Master’s in CS or equivalent with 4+ years in AI/ML, hands-on Azure OpenAI experience, Python proficiency, and strong collaboration skills to work across geographies.

Qualifications

• Master’s degree in Computer Science or equivalent practical experience.
• 4+ years of experience in AI, machine learning, AI platforms, or related technology roles.
• Proven experience building, prototyping, or deploying real-world AI solutions.
• Strong understanding of LLMs and applied AI.
• Strong understanding of AI/ML architectures, including LLMs, RAG, embeddings, and agent-based systems.
• Hands-on experience with the Azure AI ecosystem, including Azure OpenAI, API Management, monitoring, and identity and access management.
• Strong programming skills in Python; Node.js experience is an advantage.
• Experience integrating AI solutions with APIs and backend systems.
• Good understanding of AI governance, compliance, security, and enterprise architecture.
• Ability to rapidly prototype, experiment, validate, and iterate on AI solutions.

Responsabilités

• Identify and deliver high-impact, low-effort AI use cases that demonstrate measurable business value.
• Build AI solutions from concept to prototype, validate their effectiveness, and industrialize successful solutions.
• Develop and deploy production-ready AI solutions using LLMs, RAG, embeddings, and agent-based technologies.
• Partner with business and technology teams to identify opportunities where AI can improve efficiency, quality, decision-making, and user experience.
• Continuously evaluate emerging AI tools, models, and frameworks and recommend their adoption where they provide clear business value.
• Improve and scale successful AI solutions in collaboration with domain teams.
• Establish reusable AI frameworks, patterns, and best practices to accelerate AI adoption across the organization.
• Support teams in determining when to use AI, traditional automation, or rule-based solutions, and when to build versus buy.
• Promote responsible AI adoption by addressing governance, compliance, hallucinations, edge cases, and AI output quality.
• Build and maintain AI solutions using technologies such as Azure OpenAI, APIs, RAG, prompt engineering, and backend integrations.
• Evaluate AI outputs and implement appropriate validation and compliance mechanisms.
• Build internal AI capability through knowledge sharing, workshops, training, and a Community of Practice.
• Enable teams to understand AI capabilities, limitations, available tools, and practical business applications.
• Collaborate with international teams and other communities of practice to share use cases, learnings, and best practices.

Connaissances

LLMs

RAG

Embeddings

Agent-based systems

Python

APIs

Formation

Master’s degree in Computer Science or equivalent

Outils

Azure OpenAI

API Management

Monitoring & IAM

OpenAI APIs

Description du poste

• Identify and deliver high-impact, low-effort AI use cases that demonstrate measurable business value.
• Build AI solutions from concept to prototype, validate their effectiveness, and industrialize successful solutions.
• Develop and deploy production-ready AI solutions using LLMs, RAG, embeddings, and agent-based technologies.
• Partner with business and technology teams to identify opportunities where AI can improve efficiency, quality, decision-making, and user experience.
• Continuously evaluate emerging AI tools, models, and frameworks and recommend their adoption where they provide clear business value.
• Improve and scale successful AI solutions in collaboration with domain teams.
• Establish reusable AI frameworks, patterns, and best practices to accelerate AI adoption across the organization.
• Support teams in determining when to use AI, traditional automation, or rule-based solutions, and when to build versus buy.
• Promote responsible AI adoption by addressing governance, compliance, hallucinations, edge cases, and AI output quality.
• Build and maintain AI solutions using technologies such as Azure OpenAI, APIs, RAG, prompt engineering, and backend integrations.
• Evaluate AI outputs and implement appropriate validation and compliance mechanisms.
• Build internal AI capability through knowledge sharing, workshops, training, and a Community of Practice.
• Enable teams to understand AI capabilities, limitations, available tools, and practical business applications.
• Collaborate with international teams and other communities of practice to share use cases, learnings, and best practices.

Your Role

• Identify and deliver high-impact, low-effort AI use cases that demonstrate measurable business value.
• Build AI solutions from concept to prototype, validate their effectiveness, and industrialize successful solutions.
• Develop and deploy production-ready AI solutions using LLMs, RAG, embeddings, and agent-based technologies.
• Partner with business and technology teams to identify opportunities where AI can improve efficiency, quality, decision-making, and user experience.
• Continuously evaluate emerging AI tools, models, and frameworks and recommend their adoption where they provide clear business value.
• Improve and scale successful AI solutions in collaboration with domain teams.
• Establish reusable AI frameworks, patterns, and best practices to accelerate AI adoption across the organization.
• Support teams in determining when to use AI, traditional automation, or rule-based solutions, and when to build versus buy.
• Promote responsible AI adoption by addressing governance, compliance, hallucinations, edge cases, and AI output quality.
• Build and maintain AI solutions using technologies such as Azure OpenAI, APIs, RAG, prompt engineering, and backend integrations.
• Evaluate AI outputs and implement appropriate validation and compliance mechanisms.
• Build internal AI capability through knowledge sharing, workshops, training, and a Community of Practice.
• Enable teams to understand AI capabilities, limitations, available tools, and practical business applications.
• Collaborate with international teams and other communities of practice to share use cases, learnings, and best practices.

To Succeed, You Will Need

• Master’s degree in Computer Science or equivalent practical experience.
• 4+ years of experience in AI, machine learning, AI platforms, or related technology roles.
• Proven experience building, prototyping, or deploying real-world AI solutions.
• Strong understanding of LLMs and applied AI.
• Strong understanding of AI/ML architectures, including LLMs, RAG, embeddings, and agent-based systems.
• Hands-on experience with the Azure AI ecosystem, including Azure OpenAI, API Management, monitoring, and identity and access management.
• Strong programming skills in Python; Node.js experience is an advantage.
• Experience working with OpenAI and Microsoft ecosystem APIs.
• Strong understanding of prompt engineering and Retrieval-Augmented Generation (RAG).
• Experience integrating AI solutions with APIs and backend systems.
• Understanding of data handling and AI output evaluation.
• Ability to identify and address hallucinations, edge cases, and reliability challenges in AI solutions.
• Good understanding of AI governance, compliance, security, and enterprise architecture.
• Ability to rapidly prototype, experiment, validate, and iterate on AI solutions.
• Strong communication and collaboration skills, with the ability to work effectively across functions and cultures.
• Willingness to work in large, international teams and collaborate across geographies.

Nice to Have -

• Exposure to the product development lifecycle.
• Experience working in Agile product teams using Scrum, Kanban, or similar methodologies.
• Basic functional analysis skills, including use cases and UML.
• Experience with embeddings, vector search, or Knowledge Graph technologies.

In Return, We Offer You

• Plenty of opportunities to grow and develop.
• A culture known for respectful interaction, ethical behaviour and integrity.
• Potential to see your ideas realized and to make an impact.
• New challenges and new things to learn every day.
• Access to global job opportunities, as part of the Atlas Copco Group.
• An excellent remuneration package
• Support for maintaining a healthy work-life balance, including vacation, personal, and sick time.

Uniting curious minds

Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.