GenAI Engineer — LLM Apps, MLOps & Scalable AI Solutions

Infosys

Austin (TX)

On-site

USD 120,000 - 180,000

Full time

8 days ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Disability coverage
Health and Dependent Care Reimburse- m
Insurance (Accident, Critical Illness,
401(k) plan
Paid holidays & PTO

Job summary

Infosys Topaz seeks a Data Science Consultant 2 to advance analytics and AI-driven solutions. You will prepare data, build predictive models, and deploy scalable analytics across enterprise contexts. Collaboration with cross-functional teams and adherence to governance are essential.

You will leverage Azure OpenAI, AWS Bedrock, and OpenAI platforms, delivering robust data products and reusable code, while contributing to thought leadership and IP asset development.

Qualifications

  • Bachelor’s degree or foreign equivalent required.
  • Experience with GenAI applications and enterprise AI solutions.
  • Ability to design production APIs and microservices.
  • Experience with MLOps concepts and governance.

Responsibilities

  • Develop data preparation tasks and identify patterns or anomalies.
  • Build, evaluate, and deploy models; ensure scalable production deployment.
  • Apply governance controls to mitigate risks and ensure compliance.
  • Collaborate with product and platform teams on technical decisions.

Skills

Python
Lang Chain
Llama Index
Prompt engineering
LLMOps
Team collaboration

Education

Bachelor’s degree

Tools

Azure OpenAI
AWS Bedrock
OpenAI
Anthropic
FastAPI
Docker
Kubernetes
Git
GitHub Copilot

Job description

Infosys Topaz seeks a Data Science Consultant 2 to advance analytics and AI-driven solutions. You will prepare data, build predictive models, and deploy scalable analytics across enterprise contexts. Collaboration with cross-functional teams and adherence to governance are essential.

You will leverage Azure OpenAI, AWS Bedrock, and OpenAI platforms, delivering robust data products and reusable code, while contributing to thought leadership and IP asset development.

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