AI ML Engineer LLM & AWS Integration

AI ML Engineer with LLM & AWS Integration

Plano, TX;
Raleigh, NC;
Reston, VA;
Richardson, TX;
Tempe, AZ

The 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. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, make changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the 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 and assist other similar projects

• A collaborative spirit and excellent communication skills.
• The ability to handle end‑to‑end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands‑on coding experience.
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross‑functional teams and do software integration.

• Experience in designing, developing, and fine‑tuning machine learning models, particularly those involving LLMs and generative AI.
• Experience with developing and deploying AI agents for business problems.
• Experience in optimizing and adapting prompt engineering strategies to improve model performance and relevance.
• Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda; familiarity with MLOps practices and tools for model deployment and monitoring.
• Experience with AWS Sage Maker for model development and model deployment.
• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands‑on experience with Generative AI/LLMs.

• Experience in Python and ML libraries (e.g., Tensor Flow, PyTorch, scikit‑learn).
• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.

• 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.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship…