AI Prompt Engineer & Data Engineer at AXA XL
AXA XL · Gurugram, Haryana, India
- Salary: ₹15–₹25 LPA
- Experience: 0-2 years
📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company AXA XL 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹15–₹25 LPA 🏢 Industry Technology 🛠 Key Skills Generative AI Prompt Engineering Large Language Models RAG AI Agents Python APIs Automation Data Engineering Databricks AI Prompt Engineer & Data Engineer at AXA XL — Full Details & How to Apply AXA XL is seeking an AI Prompt Engineer & Data Engineer in Gurugram, Haryana, India , where you can leverage cutting-edge AI technologies to drive innovation in the insurance sector. This role is pivotal as the demand for AI and data engineering skills is surging, particularly in the insurance industry, making it a crucial position for AXA XL 's growth in AI-driven solutions. The role of an AI Prompt Engineer & Data Engineer is increasingly vital in the technology landscape, especially as companies like AXA XL focus on enhancing their AI capabilities. With over 160 years of experience in risk management and insurance, AXA XL is at the forefront of integrating advanced technologies to improve client services and risk analysis, positioning itself as a leader in the sector. What sets AXA XL apart as an employer is its commitment to innovation and professional development. With a workforce of over 7,000 professionals globally, AXA XL fosters a culture that encourages growth and collaboration. This role offers freshers the chance to work with state-of-the-art tools like Databricks and Azure, essential for navigating today’s data-driven job market. We encourage applications from 2022, 2023, 2024, 2025 graduates with a Any Graduate qualification and 0-2 years experience . The position offers a competitive salary ranging from ₹15–₹25 LPA , making it an attractive opportunity for new entrants in the tech field. In this role, you will gain hands-on experience with essential skills such as Generative AI , Prompt Engineering , Large Language Models , and Data Engineering . This experience will not only enhance your technical expertise but also open doors to various career paths in AI and data science, setting a strong foundation for future advancement. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The AI Prompt Engineer & Data Engineer at AXA XL is tasked with enhancing user interactions through innovative Generative AI techniques and optimizing data workflows for improved efficiency. Develop and optimize AI prompts using Generative AI techniques to enhance user interactions and data processing. Utilize Python and SQL for data manipulation and analysis, ensuring data integrity and performance. Collaborate with the GRM AI Factory team and stakeholders to gather requirements and deliver AI-driven solutions . Monitor and evaluate the performance of AI models, aiming for continuous improvement based on data-driven insights. Take initiative in automating data workflows using Databricks Workflows to streamline processes. Document technical specifications and communicate findings effectively to both technical and non-technical teams. Engage with clients to understand their needs and provide tailored AI solutions , enhancing customer satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on the efficiency and effectiveness of AI solutions at AXA XL . Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in Generative AI , Data Engineering , and related technologies to effectively contribute to the team. Technical Skills Generative AI — intermediate — essential for creating effective prompts that improve user engagement and data utility. Prompt Engineering — intermediate — critical for optimizing AI responses, particularly in insurance risk analysis contexts. Data Engineering — intermediate — daily use of Databricks and PySpark to manage and process large datasets efficiently. APIs — entry — knowledge of integrating various data sources and services to enhance AI functionalities. SQL — entry — foundational for querying databases and ensuring data accuracy, evaluated through practical tests. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates eager to enter the tech industry and contribute to innovative AI solutions. Any graduate is eligible, valuing diverse educational backgrounds relevant to technology and data. Batches from 2022 to 2025 are encouraged to apply, aligning with the company's focus on fresh talent. No prior experience is required, making it ideal for freshers looking to enter the tech industry. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Candidates with projects or internships related to AI or data engineering will have an advantage in the selection process. Documentation & Portfolio Requirements Submit your resume in PDF format, including your educational background, relevant projects, and any internships related to AI or data engineering . Pro tip: Highlight any hands-on experience with Databricks or Python in your application to stand out. Salary for AI Prompt Engineer & Data Engineer at AXA XL 💰 Compensation ₹15–₹25 LPA The advertised compensation for the AI Prompt Engineer & Data Engineer role at AXA XL is ₹15–₹25 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Prompt Engineer & Data Engineer Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI and data engineering. Recommended Courses & Resources Python — Essential for data manipulation and automation tasks in engineering. APIs — Crucial for integrating various data sources and services. Databricks — Key platform for data engineering and analytics workflows. SQL — Fundamental for database management and querying data efficiently. KodNest — Provides hands-on experience with AI and data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills for AI and data engineering roles. ❌ Neglecting practical experience — Showcase your work with tools like Databricks or Python. ❌ Overlooking communication skills — Clearly demonstrate your ability to communicate technical concepts. ❌ Submitting a generic cover letter — Address the specific role and company in your application. ❌ Ignoring academic performance metrics — Include relevant grades or achievements in your application. ❌ Not preparing for technical questions — Practice common interview questions related to AI and data engineering. Before You Apply — Checklist ✅ Research AXA XL and its recent projects in AI to understand the company better. ✅ Update your resume to reflect relevant skills and experiences tailored to the job. ✅ Prepare a cover letter that specifically addresses why you want to work at AXA XL . ✅ Gather any necessary documents, such as transcripts or certificates, for the application. ✅ Review your online presence, including LinkedIn, to ensure it aligns with your application. ✅ Practice common interview questions related to AI and data engineering. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for AI Prompt Engineer & Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Generative AI Prompt Engineering Data Engineering Databricks Python SQL Azure Data Platform Automation AI Agents RAG Semantic Search Stakeholder Communication Insurance and Risk Analytics Resume Tips for This Role Highlight any projects or coursework related to AI or data engineering to demonstrate relevant skills. Emphasize technical skills like Python and SQL that are directly applicable to the role. Include links to your GitHub or portfolio showcasing relevant projects or contributions. Optimize your resume for ATS by incorporating keywords from the job description. Avoid including unrelated work experience that does not showcase your technical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions that do not relate to AI or data engineering. How to Apply for AI Prompt Engineer & Data Engineer at AXA XL Apply Now — AXA XL Visit the AXA XL careers page and locate the AI Prompt Engineer & Data Engineer job listing. Prepare your resume, ensuring it highlights relevant skills and experiences tailored to the role. Fill out the application form accurately, providing all requested information. After submission, you can expect a confirmation email regarding your application status. Keep track of your application by checking the portal for updates on your application status. Applications reviewed on a rolling basis — early submission recommended. Apply Now — AXA XL NexisGrow.com does not charge any fees for job applications. AXA XL AXA XL was formed in 2018 through the merger of XL Group and AXA Corporate Solutions . With its headquarters in Hamilton, Bermuda , AXA XL operates in over 50 countries , employing thousands of professionals worldwide. The company’s extensive global footprint allows it to address complex risks across diverse markets, enhancing its ability to serve clients effectively. Specializing in property , casualty , and specialty insurance , AXA XL provides innovative solutions tailored to complex risks. Its offerings include cyber insurance , marine insurance , and professional liability , ensuring comprehensive coverage for businesses. The company leverages advanced technologies to enhance its service delivery and risk management capabilities. AXA XL has been recognized for its positive workplace culture, ranking in the top 10% on Glassdoor for employee satisfaction and engagement. The company promotes various employee programs, including mentorship initiatives and professional development opportunities, fostering a supportive environment for its workforce. This commitment to employee well-being contributes to a collaborative and innovative workplace. Recently, AXA XL announced a strategic investment in AI technologies to enhance its underwriting processes. This initiative reflects the company’s focus on innovation and its commitment to leveraging technology for improved efficiency. Such advancements position AXA XL as a forward-thinking leader in the insurance industry. Joining AXA XL as a fresher in Technology offers unparalleled exposure to global projects and mentorship from industry leaders. The company’s emphasis on innovation and technology provides a robust foundation for career growth. With opportunities to work on cutting-edge technologies, freshers can develop essential skills and advance their careers in a supportive environment. Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 careers.axa.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Prompt Engineer & Data Engineer at AXA XL? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Generative AI, Prompt Engineering, Large Language Models, RAG, AI Agents. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–₹25 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at AXA XL? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Generative AI, Prompt Engineering, Large Language Models, RAG, AI Agents. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Prompt Engineer & Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Generative AI, Prompt Engineering, Large Language Models, RAG, AI Agents, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) AXA XL research, (5) Clear communication. ? What is the work culture like at AXA XL? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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