AI Agent Engineer: Scalable, Production-Ready Models

Infosys BPM Philippines

Hartford, Northern (CT, KY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) plan
Disability insurance
Dependent care reimbursement

Job summary

Infosys is the global leader in digital services and consulting, delivering AI-powered analytics for banking, wealth management, and insurance sectors. This Data Science Consultant 2 role focuses on data preparation, model development, and scalable deployment across diverse use cases, leveraging SAS, R/Python, and API-driven architectures.

You will contribute to innovative, production-grade analytics and governance.

Qualifications

  • Bachelor’s degree or foreign equivalent required; may consider three years of progressive experience in lieu of every year of education.
  • Experience with AI coding platforms and AI-assisted development tools preferred.
  • Candidates authorized to work in the United States encouraged to apply.

Responsibilities

  • Develop data-driven analytics and ML/AI models with a focus on deployment, performance, and reliability.
  • Lead end-to-end SDLC for analytics projects and mentor junior engineers.
  • Collaborate with stakeholders to refine requirements and deliver scalable analytics solutions.
  • Create reusable code, templates, and documentation; contribute to IP assets and thought leadership.

Skills

OpenAI Codex
AI Coding Agents
GitHub Copilot Enterprise
Python development
REST APIs
Bash/Shell
PowerShell
Prompt injection testing
AI security validation
SDLC delivery

Education

Bachelor’s degree or foreign equivalent

Tools

FastAPI
Flask
AWS Bedrock / ECS / Lambda
API Gateway / CloudWatch / VPC

Job description

Infosys is the global leader in digital services and consulting, delivering AI-powered analytics for banking, wealth management, and insurance sectors. This Data Science Consultant 2 role focuses on data preparation, model development, and scalable deployment across diverse use cases, leveraging SAS, R/Python, and API-driven architectures.

You will contribute to innovative, production-grade analytics and governance.

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