Senior AI Engineer - Generative AI & Cloud Architect

Infosys

Houston (TX)

On-site

USD 140,000 - 190,000

Full time

18 hours ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
401(k) retirement plan
Paid holidays and PTO

Job summary

Infosys is seeking a Specialist Programmer within the Strategic Technology Group (STG) in the United States to tackle large-scale technology challenges. The role focuses on generative AI, ML, NLP, and deployment of AI models in production environments, collaborating with data scientists, software engineers, and product managers.

The ideal candidate will design, develop, and deploy AI solutions, fine‑tune LLMs, and manage the full AI lifecycle, while driving responsible AI practices and staying

Qualifications

  • Experience in developing generative AI models.
  • Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP).
  • Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
  • Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis.
  • Fine‑tune pre‑trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
  • Manage the entire AI development lifecycle, from data pre‑processing and model training to evaluation, optimization, and deployment.
  • Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
  • Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
  • Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.

Responsibilities

  • Analyze user stories and use cases to ensure accurate understanding for production‑ready delivery.
  • Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
  • Deliver high‑quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
  • Support the team to foster a robust technical environment and ensure error‑free coding.
  • Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
  • Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
  • Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
  • Support in implementation of technical services to meet quality service (QoS) requirements
  • Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
  • Interface with customers during warranty support to ensure issues are fixed in a timely manner.
  • Address technical issues during testing to ensure a reliable, production‑ready codebase.
  • Assist in mitigating risks by flagging them and support timely resolution in co‑ordination with the team.
  • Fix issues during testing phases to ensure error‑free, clean releases.

Skills

Generative AI models
ML fundamentals
NLP
Python
TensorFlow
PyTorch

Education

Bachelor’s degree or foreign equivalent

Tools

OpenShift
AWS
GCP
Azure

Job description

Infosys is seeking a Specialist Programmer within the Strategic Technology Group (STG) in the United States to tackle large-scale technology challenges. The role focuses on generative AI, ML, NLP, and deployment of AI models in production environments, collaborating with data scientists, software engineers, and product managers.

The ideal candidate will design, develop, and deploy AI solutions, fine‑tune LLMs, and manage the full AI lifecycle, while driving responsible AI practices and staying

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