AWS and AI engineer

Infosys

About The Position

As a Technology Consultant 2 in Infosys's Data and Analytics unit, you will contribute to software development and implementation across the software development life cycle. The role involves documenting business requirements, facilitating application design discussions, participating in coding and feature integration, conducting code reviews, maintaining repositories, implementing test strategies, coordinating bug fixes, and supporting applications in production. You will also develop user training and documentation and maintain records of code, testing, and support activities. The role requires strong hands-on experience with AWS, graph databases (preferably Amazon Neptune), graph data modeling and query languages, Python, and ETL/ELT pipelines for large datasets. Preferred experience includes other graph technologies, Knowledge Graphs, Generative AI, Graph RAG, integrating graph databases with LLMs or AI/ML applications, AWS certifications, and infrastructure automation tools. A bachelor's degree or foreign equivalent is required, with consideration of progressive specialty experience in lieu of education. Relocation and/or travel to a work or project location may be required. Applicants must be authorized to work in the United States without employer-based visa sponsorship.

Requirements

Strong hands-on experience with AWS cloud services.
Hands-on experience with graph databases, preferably Amazon Neptune.
Strong understanding of graph data modeling, including nodes, edges, relationships, and traversal patterns.
Experience with Gremlin, SPARQL, Cypher/openCypher, or similar graph query languages.
Strong programming experience with Python.
Experience building ETL/ELT pipelines and processing large datasets.
Bachelor's degree or foreign equivalent from an accredited institution; three years of progressive experience in the specialty may substitute for each year of education.
Authorization to work in the United States for any employer without employer-based visa sponsorship.

Nice To Haves

Experience with graph technologies such as Neo4j.
Knowledge of Knowledge Graphs, Generative AI, or Graph RAG architectures.
Experience integrating graph databases with LLMs or AI/ML applications.
AWS certification, such as AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect.
Experience with Terraform or CloudFormation for infrastructure automation.

Responsibilities

Document assigned portions of business requirements as part of requirements elicitation.
Facilitate software application design discussions and document design decisions.
Participate in coding and integrate features or updates into existing applications while maintaining system stability.
Conduct code reviews, make changes to the codebase, and maintain code repositories.
Implement test strategies, analyze results, and coordinate bug fixes.
Develop user training programs, documentation, and support frameworks for software application transitions.
Help resolve production issues and recommend preventive strategies to improve system reliability.
Maintain records of code, testing techniques, and support activities.
Work across end-to-end SDLC phases, translating requirements into development tasks and collaborating with cross-functional teams on software integration.