Gen AI Engineer_Python

Gen AI Engineer_Python Job details Job Role Analyst - Data Science Work Location Charlotte, NC, Dallas, TX State / Region / Province North Carolina, Texas Country USA Skills Technology|Data on Cloud - Datastore|Cloud based Integration Platforms, Technology|Data Science|Machine Learning, Technology|Machine Learning|Python Domain Delivery Interest Group Infosys Limited Company ITL USA Requisition ID 146319BR careerpage.description_page_field_label_field_job_code 4814ADSASS Senior Analyst - Data Science Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Required Qualifications: Candidate must be located within commuting distance of Charlotte, NC/ Dallas, TX or be willing to relocate to the area. At least 2 years of experience in Information Technology. Experience in cloud platforms (Azure, GCP) and their AI/ML services. Bachelor’s degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications: Experience in Big Data technologies (e.g., BigQuery, Hadoop). Expertise in ML model development, data engineering, and software engineering principles. Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). Hands-on experience in Generative AI, LLMs, and agentic frameworks. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Domain expertise in Banking, Finance, or Capital Markets is a plus. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.