genai specialist

First Due Solutions

Job DescriptionAbout CoffeeBeans ConsultingCoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.Location : Bangalore / Pune (with short/medium-term travel opportunities within India &amp; foreign location)Work mode : Hybrid( 3 days WFO)Role OverviewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.Key ResponsibilitiesML &amp; Data ScienceOwn and deliver ML model development, tuning, and evaluation for client-facing projects.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.Contribute to experimentation frameworks and model reproducibility best practices.GenAI &amp; LLM ApplicationsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.Product &amp; Engineering CollaborationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-time).Assist in building APIs and data pipelines needed for productionizing models.Contribute to technical documentation, explainability reports, and client presentations.Team &amp; GrowthMentor junior data scientists and review code/model design.Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.Participate in discovery and solutioning phases with clients alongside tech leads and PMs.Required Skills &amp; QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.Proficiency in SQL and data wrangling tools (pandas, NumPy).Experience working with REST APIs, Git, and cloud environments (AWS/GCP).Good-to-Have SkillsExperience with deploying models via FastAPI, Docker, or serverless platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.Experience with embeddings, vector databases, and similarity search.What You Can Expect at CoffeeBeansWork on real-world AI/ML problems across verticals.Be part of a fast-moving team delivering end-to-end ML &amp; GenAI apps.Collaborate with experienced engineers and PMs in a flat and open culture.Opportunities to lead, mentor, and influence tech direction.Job Types: Full-time, PermanentPay: Up to &#8377;2,400,000.00 per yearApplication Question(s):<ul><li>Last Working Date?</li></ul>Experience:<ul><li>Total Work: 5 years (Preferred)</li></ul>Work Location: In person

Data Scientist

Pavithranarra Nest Pvt ltd

Position: Senior Data Scientist (AI/ML/GenAI) Location Options: Mumbai / Bengaluru / Hyderabad / Gurugram Experience Required: 5 &ndash; 12 Years Working Days: 5 Days/Week (Hybrid &ndash; 3 Days WFO) Notice Period: Maximum 60 Days Outstation Candidates: AllowedMandatory Requirements:<ul><li>Minimum 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning systems in production.</li><li>Strong hands-on experience with Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.</li><li>At least 1 year of experience in fine-tuning Large Language Models (LLMs) using LoRA/QLoRA and building RAG (Retrieval-Augmented Generation) pipelines.</li><li>Practical experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows.</li></ul>Preferred Requirements:<ul><li>Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems.</li><li>B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field.</li></ul>Role and Responsibilities<ul><li>Lead end-to-end machine learning lifecycle activities including model design, training, evaluation, deployment, and scaling.</li><li>Build and manage production-ready ML pipelines with CI/CD, monitoring, testing, and model drift detection.</li><li>Fine-tune LLMs and implement RAG-based systems for enhanced retrieval and reasoning.</li><li>Design and develop agentic workflows for planning, reasoning, and decision-making.</li><li>Create both real-time and batch inference systems using Docker, Kubernetes, and Spark.</li><li>Utilize advanced architectures such as transformers, diffusion models, RLHF, and multimodal systems.</li><li>Work collaboratively with engineering and product teams to integrate AI models into production applications.</li><li>Mentor junior team members and promote best practices in scalable ML systems, MLOps, and responsible AI.</li></ul>Ideal Candidate Profile<ul><li>Proven experience in production-grade ML/DL system design and deployment.</li><li>Expertise in LLM fine-tuning, RAG pipelines, and vector search tools (e.g., Weaviate, PGVector).</li><li>Strong software engineering background with knowledge of APIs, version control, and testing.</li><li>Familiarity with agent-based development approaches (e.g., ReAct agents, orchestration, function-calling).</li><li>Ability to balance research innovation with production scalability.</li><li>Additional advantage for open-source contributions, GenAI research, or large-scale applied systems.</li></ul>Job Type: Full-timePay: &#8377;3,500,000.00 - &#8377;4,600,000.00 per yearApplication Question(s):<ul><li>Which is your preferred location for onsite (Mumbai / Bengaluru / Hyderabad / Gurugram)?</li><li>Are you comfortable with a 3-days WFO setup</li><li>Current &amp; Expected CTC?</li><li>Email &amp; Contact number</li><li>Current location</li><li>Experience in Years in designing, deploying, and scaling ML/DL systems in production?</li></ul>Work Location: Remote

Senior Data Scientist (AI/ML/GenAI)

Guardian Life

<div><div>Job Description:</div><div></div><div>
Job Description :</div><div></div><div><div><div>
You are passionate about cutting-edge technology and keen on applying GenAI algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You are mostly an Individual Contributor who enjoys cracking hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders.</div></div><div></div><div><div> 
You have:</div></div><div><ul><li><div>
PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field</div></li></ul></div><div><ul><li><div>
7+ years of hands-on ML modeling/development experience</div></li></ul></div><div><ul><li><div>
 Experience in creating GenAI and Agentic AI applications</div></li></ul></div><div><ul><li><div>
Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding</div></li></ul></div><div><ul><li><div>
Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.</div></li></ul></div><div><ul><li><div>
Demonstrated track records in experimental design and executions</div></li></ul></div><div><ul><li><div>
Strong skills in Python, PyTorch, Langchain, LangGraph etc</div></li></ul></div><div><ul><li><div>
Solid background in algorithms and a range of ML models</div></li></ul></div></div><div><div><ul><li><div>
Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level</div></li></ul></div><div><ul><li><div>
Excellent analytical and problem-solving abilities with superb attention to detail</div></li></ul></div><div><ul><li><div>
Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success</div></li></ul></div></div><div></div><div>
Location:</div><div>
This position can be based in any of the following locations:</div>
Chennai, Gurgaon<div>
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday</div></div>

Lead/ Sr. Lead Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. 
 
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. 
 
Key job responsibilities 
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree</li><li>1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields.</li><li>Should be an expert in either Computer Vision or NLP and have a good understanding of the both.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision.</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, RBS Tech

SAPLING INFOSYSTEMS

Job Title: Data Scientist (4+ Years Experience)Location: Pune Type: Full-time / On-siteAbout the RoleWe are looking for an experienced Data Scientist with strong hands-on experience in building AI/ML solutions, especially using LLMs, retrieval augmented generation (RAG), and modern vector database architectures. The ideal candidate should have strong problem-solving skills, advanced Python expertise, and experience deploying ML models in production environments.Responsibilities<ul><li>Design, develop, and deploy end-to-end ML and NLP solutions.</li><li>Build RAG-based pipelines using vector stores and LLMs for real-world use cases.</li><li>Develop embedding pipelines using OpenAI, HuggingFace, SentenceTransformers, etc.</li><li>Perform data cleaning, transformation, feature engineering, and EDA.</li><li>Fine-tune foundational models and apply few shot / in-context prompting techniques.</li><li>Build reusable components leveraging LangChain, LlamaIndex and other LLM toolkits.</li><li>Work closely with Engineering and Product teams to convert business problems into AI solutions.</li><li>Contribute to MLOps workflows including model deployment, testing and CI/CD.</li><li>Prepare analytics dashboards, visualizations, and insights to be consumed by stakeholders.</li></ul>Required Skills &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>4+ years hands-on experience in Machine Learning / NLP / GenAI.</li><li>Practical experience with RAG architectures &amp; vector databases (FAISS / Pinecone / Weaviate / ChromaDB).</li><li>Proficiency in Python, LangChain, LlamaIndex and LLM frameworks (OpenAI, HuggingFace Transformers).</li><li>Strong experience in Pandas, NumPy, Matplotlib for data manipulation &amp; visualization.</li><li>Experience in LLM fine-tuning, prompt engineering, and in-context learning strategies.</li><li>Cloud AI platform experience (AWS Sagemaker / Azure AI / Google Vertex AI).</li><li>Experience integrating models into APIs and production systems (MLOps, CI/CD).</li><li>Strong analytical mindset with ability to communicate insights to both tech and business stakeholders.</li></ul>Nice to Have<ul><li>Experience with Kafka, Spark, or real-time data processing frameworks.</li><li>Exposure to vector search optimization and prompt evaluation metrics.</li><li>Knowledge of multi-agent AI frameworks / orchestration engines.</li></ul>Job Types: Full-time, PermanentPay: &#8377;90,000.00 - &#8377;100,000.00 per monthWork Location: In person

Data Scientist - 4+ years - Pune

LTIMindtree

<div>
 
 🚀 Mega Walk-In Drive &ndash; Data Science, GenAI (5-12 Years) &amp; MLOps Roles (3&ndash;12 Years Experience)
 
 
 📍 Location: Kolkata
 
 
 📅 Date: Saturday, 15th November
 
 
 🕤 Time: 9:30 AM onwards
 
 
 📧 Contact Person: Purbita Mondal &ndash; purbita.mondal@ltilmindtree.com
 
 
 
 
 
 🔍 We&rsquo;re Hiring For:
 
 
 Data Scientists
 
 
 GenAI Engineers
 
 
 MLOps Engineers
 
 
 
 
 
 
 
 
 Data Scientists with Gen AI:
 
 
 
 
 
 ✅ Mandatory Skills
 
 
 Data Science, GenAI, Python, RAG
 
 
 Cloud: Azure / AWS / GCP
 
 
 AI/ML, NLP
 
 
 🔸 Preferred Skills
 
 
 LangChain, ChatGPT, Prompt Engineering
 
 
 Vector Stores, LLaMA, PaLM, BERT, GPT, BLOOM
 
 
 Deep Learning, OCR, Transformers
 
 
 Regression, Forecasting, Classification
 
 
 MLOps, Model Training, Deployment, Inference
 
 
 CI/CD, Model Monitoring, Hyperparameter Tuning
 
 
 Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes
 
 
 🧠 Ideal Candidate Profile
 
 
 5&ndash;12 years of experience in Data Engineering, Data Science, AI/ML, or MLOps
 
 
 Strong grasp of ML algorithms: GPTs, CNN, RNN, SVM, etc.
 
 
 Experience with BI tools (Power BI, Tableau), data frameworks (Hadoop, PySpark)
 
 
 Familiarity with TensorFlow, PyTorch, Keras, NumPy, Pandas
 
 
 Experience with cloud-native development and deployment
 
 
 Hands-on with NoSQL databases (MongoDB, Cassandra, HBase, Vector DBs)
 
 
 Excellent communication and analytical skills
 
 
 
 
 
 MLOPS:
 
 
 We&rsquo;re looking for an MLOps Engineering Specialist who is experienced in designing and implementing ML applications at scale in production for our ML Engineering team- The team is a cross-functional team and has ML Engineers and AI Engineers, and closely works with data scientists and data engineers in designing, building and operationalizing AI/ML models-
 
 
 
 
 
 Roles and Responsibilities:
 
 
 
 
 
 As an ML Engineering Specialist, you will be owning responsibility to
 
 
 
 
 
 &bull; operationalize ML models, NLP, Computer Vision, and other type of models-
 
 
 
 
 
 &bull; End to End model lifecycle management, starting from feature extraction to monitor machine learning models using high end tools and technologies-
 
 
 
 
 
 &bull; Design &amp; implementation of DevOps principles in Machine Learning
 
 
 
 
 
 &bull; Model quality assurance, governance, and monitoring
 
 
 
 
 
 &bull; Integrate models as part of business applications via APIs-
 
 
 
 
 
 &bull; Execute best practices in version control and continuous integration / delivery-
 
 
 
 
 
 &bull; Collaborate with data scientists, engineers, and other key stakeholders-
 
 
 
 
 
 &bull; Work well in a fast-paced cross-functional environment
 
 
 
 
 
 Mandatory Skills/Requirements:
 
 
 
 
 
 &bull; Experience in implementing machine learning life cycle on Azure ML and Azure Databricks along with other Azure services such as Azure DevOps, Azure functions etc-
 
 
 
 
 
 &bull; Experience with Machine learning frameworks, libraries, and agile environments-
 
 
 
 
 
 &bull; Experience implementing Azure Cognitive services in business applications-
 
 
 
 
 
 &bull; Experience with various model deployment strategies
 
 
 
 
 
 &bull; Experience with Python and SQL is must- Understanding of distributed frameworks such as Spark, Dask, Ray etc- is a plus-
 
 
 
 
 
 &bull; Experience with version control tools such as Git, Bitbucket etc-
 
 
 
 
 
 &bull; Knowledge on Docker, Jenkins, Kubernetes, and other DevOps tools-
 
 
 
 
 
 &bull; Knowledge on Infra-as-a-Code via ARM or Terraform templates-
 
 
 
 
 
 &bull; Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus-
 
 
 
 
 
 &bull; Outstanding analytical and problem-solving skills-"
 
 
 
 
 🌟 Why Join Us?
 
 
 Work on cutting-edge GenAI and LLM projects
 
 
 Build scalable AI/ML pipelines and deploy models in production
 
 
 Collaborate with a fast-paced, innovative team
 
 
 Flexible work culture and continuous learning
 
 
 📩 Walk in with your resume and be part of the future of AI!
 
 
 Tag someone who&rsquo;d be a great fit or share this opportunity.
 
 
 
 
 
 
 
 
 
 
 
 hashtag#WalkInDrive
 
 
 
 
 
 hashtag#HyderabadJobs
 
 
 hashtag#kolkatajobs
 
 
 hashtag#GenAI
 
 
 
 
 
 hashtag#DataScience
 
 
 
 
 
 hashtag#MLOps
 
 
 
 
 
 hashtag#AIJobs
 
 
 
 
 
 hashtag#MachineLearning
 
 
 
 
 
 hashtag#Hiring
 
 
 
 
 
 hashtag#TechCareers
 
 
 
 
 
 hashtag#LangChain
 
 
 
 
 
 hashtag#LLM
 
 
 
 
 
 hashtag#Python
 
 
 
 
 
 hashtag#CloudJobs
 
 
 
 
 
 hashtag#PromptEngineering
 
 
 
 
 
 hashtag#ModelDeployment
 
 
 
 
 
 hashtag#MLflow
 
 
 
 
 
 hashtag#Kubeflow
 
</div>

Data Scientist Gen AI Engineer

<div>GenAI Change Management Analyst
Be part of something groundbreaking
At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help.
With the support and investment needed to explore new frontiers in generative AI, you&rsquo;ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers.
This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you&rsquo;re excited by the opportunity to create meaningful impact at scale, we&rsquo;d love to hear from you.
Who we are
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.
At AIG, we&rsquo;re reshaping how the world manages risk, and we&rsquo;re inviting you to be a key part of that transformation. As a GenAI Change Management Specialist you will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you&rsquo;re looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong.
How you will create impact
As a GenAI Change Management Analyst at AIG, you will help drive change to achieve the organization&rsquo;s top change priorities related to GenAI usage and ensure successful outcomes, on time and on budget. The GenAI Change Management Analyst will be expected to assist the GenAI Change Management team with all aspects of change management &ndash; from initiation through sustainment &ndash; and help ensure all deliverables are successfully executed.
You will play a key role in influencing deep cultural change within the organization, driving the adoption of new working practices and/or technologies, and helping ensure these are seamlessly embedded into people&rsquo;s day to day &ndash; aligned with the organization&rsquo;s values and strategic goals.<ul><li>Partner with the GenAI Change Management team to drive change initiatives related to GenAI usage across the organization.</li><li>Assist on deliverables to ensure all aspects of change management from initiation to business embeddedness are successfully executed.</li><li>Help lead cultural change within the organization to adopt new working practices and technologies.</li><li>Evaluate business change needs and create plans aligned to delivery schedule.</li><li>Help conduct change impact analysis through interviews, surveys, and stakeholder engagement.</li><li>Coordinate communications regarding change-related engagements and activities for the team and with the business.</li><li>Help evaluate end-user readiness for change adoption through assessments; coordinate training efforts and materials to support change adoption.</li><li>Support business sustainment post-execution.</li></ul>
What is needed to be successful<ul><li>2+ years of Change Management experience in leading Change initiatives either through consultancy, business operations, program management or process improvement roles.</li><li>2+ years of experience in insurance, financial services, consulting or similar industries</li><li>Dynamic and capable of assisting the broader change management organization in a fast-paced environment</li><li>Ability to communicate in written, presentation, and oral forms, and ability to influence stakeholders is critical to the success of this role.</li><li>Emotional intelligence and the ability to build relationships and empathize with business stakeholders.</li></ul>
It would be nice if...<ul><li>5+ years&rsquo; experience working with commercial insurance products, processes, operations, business models, data, and technologies across a Global organization is strongly preferred.</li><li>Change Management certification, such as Prosci.</li><li>Experience delivering change in large Global organizations and assisting change management activities across multiple Programs.</li><li>Understanding of how change affects People, Process and Technology</li></ul>
Veterans are encouraged to apply.
#LI-CM1 #LI-AIG #AI #GenAI #artificialintelligence
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what&rsquo;s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security&mdash;as well as your professional development&mdash;to bring peace of mind to you and your family.
Reimagining insurance to make a bigger difference to the world
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world&rsquo;s most far-reaching property casualty networks. It is an exciting time to join us &mdash; across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
Welcome to a culture of inclusion
We&rsquo;re committed to creating a culture that truly respects and celebrates each other&rsquo;s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG&rsquo;s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.<div><div><div><div><div><div><div>
Functional Area:</div></div></div></div></div></div></div>
IT - Information Technology
AIG PC Global Services, Inc.</div>

GenAI Change Management Analyst

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