AI/ML Engineer Generative AI
Listed on 2026-06-07
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Software Development
AI Engineer (Applied/Software), Software Engineer
Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX, Tempe, AZ
Country: USA
OverviewThe Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data‑led innovation to help our clients accelerate growth and unlock business value. Our AI‑driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation.
You'll have the opportunity to work with cutting‑edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors.
- Document assigned parts of business requirements in line with guidance.
- Facilitate software application design discussions and record design decisions.
- Participate in coding and integrate new features or updates into existing applications, focusing on maintaining system stability.
- Conduct code reviews, make changes to the codebase, and maintain code repositories.
- Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
- Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications.
- Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability.
- Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base.
- Collaborative spirit and excellent communication skills.
- Ability to handle end‑to‑end SDLC phases from requirement gathering to implementation.
- Skill in translating complex requirements into actionable development tasks.
- Passion for design and hands‑on coding experience.
- Proactive approach to testing, troubleshooting, and refining applications.
- Ability to work with cross‑functional teams and integrate software.
- Experience designing, developing, and fine‑tuning machine learning models, especially LLMs and generative AI.
- Experience optimizing and adapting prompt engineering strategies to improve model performance and relevance.
- Experience integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda, and other AI/ML services.
- Experience building and maintaining scalable data pipelines and APIs to support ML workflows.
- Experience monitoring model performance and iterating based on feedback and metrics.
- Experience with LLMs such as OpenAI, Anthropic, Cohere and with prompt engineering.
- Experience with AWS services, especially Bedrock, S3, EC2, Lambda, and familiarity with MLOps practices and tools for model deployment and monitoring.
- Experience with AWS Sage Maker for model development and deployment.
- Understanding of quantitative, statistical, ML/AI modeling methodologies.
- Experience with ML engineering, including hands‑on work with generative AI/LLMs.
- Experience developing and deploying AI agents for business problems.
Required Qualifications
- Bachelor’s degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of each year of education.
- Position may require relocation and/or travel to work/project location.
- Candidates authorized to work in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
- 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
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.
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