AI/ML and Generative AI Engineer

Company Overview

Innovative technology company focused on delivering cutting-edge AI solutions, leveraging the latest advancements in machine learning and cloud computing.

Job Summary

We are seeking experienced AI/ML and Generative AI engineers with a strong focus on AWS Bedrock agentic architecture to design and build advanced AI solutions. The role involves creating scalable and intelligent automation across enterprise platforms using powerful agent-based frameworks, thereby driving innovation and efficiency.

Responsibilities

• Lead the development and deployment of AI-driven solutions using AWS Bedrock agentic architecture, focusing on sophisticated, multi-agent workflows for enhanced automation and intelligence.
• Design and implement Generative AI models incorporating Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) primarily on Microsoft Azure.
• Utilize generic open-source agentic architectures to complement AI workflows and enhance system capabilities.
• Collaborate with cloud engineers to automate infrastructure provisioning using Terraform and Infrastructure-as-Code (IAC) best practices.
• Work closely with security and infrastructure teams to ensure compliance and operational reliability of AI-driven systems.
• Partner with team leads to accelerate the adoption of AWS Bedrock agents and optimize AI solution delivery.

Qualifications

• 5-7 years or 10-12 years of experience in AI/ML and Generative AI engineering.
• Strong expertise in AWS Bedrock architecture.
• Proficiency in Generative AI models, RAG, and LLMs.
• Experience with automation tools such as Terraform and familiarity with Infrastructure-as-Code (IAC).
• Strong understanding of cloud platforms, particularly Microsoft Azure.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Strong communication and interpersonal skills.

Preferred Skills

• Experience with open-source agentic architectures.
• Familiarity with compliance and operational reliability standards in AI systems.
• Knowledge of additional cloud services beyond AWS and Azure.

Experience

• Minimum of 5-7 years or 10-12 years of relevant experience in AI/ML engineering and Generative AI.

Environment

• This role may involve working in a hybrid or remote work setting, depending on organizational policies.

Salary

• Salary details are not specified.

Growth Opportunities

• Opportunities for career advancement within the company's innovative teams and projects.

Benefits

• Details regarding benefits are not specified.