Lead Cloud Engineer, Agentic AI

Jobtailor

North Carolina

On-site

USD 150,000 - 190,000

Full time

4 days ago

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Job summary

Jobtailor is seeking an experienced leader to design and deliver enterprise cloud, data, and AI solutions in a security-conscious environment. The role focuses on building scalable architectures with AWS Bedrock, LLMs, and sophisticated retrieval systems.

You will mentor engineers, drive DevOps practices, and collaborate with product and business teams to identify high-value AI opportunities. The position emphasizes governance, reliability, and performance across platforms.

Qualifications

Eight+ years of related work experience with at least two years in development.
Undergraduate degree or equivalent training/experience.
5+ years designing and developing solutions on AWS.

Responsibilities

Lead design and development of enterprise cloud, data, and AI solutions.
Develop Agentic AI applications using AWS Bedrock, LLMs, RAG, and agent orchestration frameworks.
Design intelligent search and knowledge retrieval solutions for enterprise content and information.
Build and optimize data pipelines and cloud-native data platforms on AWS.
Create reusable services, APIs, automation frameworks, and cloud-native engineering capabilities.

Skills

Leadership

Analytical Skills

Communication

Mentoring

Education

Bachelor's degree or equivalent

Tools

Amazon Bedrock

AWS Glue

Amazon S3

Amazon Athena

Power BI

Adobe Experience Manager

Python

Java

Node.js

Job description

Lead the design and development of enterprise-grade cloud, data, and AI solutions
Develop Agentic AI applications leveraging Amazon Bedrock, LLMs, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks
Design intelligent search and knowledge retrieval solutions for enterprise content and information
Build and optimize data pipelines, ETL processes, and cloud-native data platforms using AWS technologies
Create reusable services, APIs, automation frameworks, and cloud-native engineering capabilities
Drive architecture decisions and establish technical best practices across cloud and AI initiatives
Implement infrastructure automation through Infrastructure as Code and modern DevOps practices
Collaborate with product, engineering, and business partners to identify high-value AI and cloud opportunities
Ensure solutions meet security, governance, scalability, reliability, and performance standards
Mentor engineers and serve as a technical leader across multiple initiatives

Requirements

Minimum of eight years related work experience, with at least two years of development experience
Undergraduate degree or equivalent combination of training and experience
5+ years of experience designing and developing solutions on AWS
Strong knowledge of cloud architecture, infrastructure automation, CI/CD, containerization, and DevOps practices
Proficiency in Python, Java, or Node.js
Experience building Generative AI applications using AWS Bedrock, LLMs, prompt engineering, and RAG architectures
Deep understanding of end-to-end ETL processes across diverse workflows
Ability to guide the team with AWS data services such as Amazon S3, AWS Glue, and Amazon Athena
Experience integrating cloud and AI solutions with enterprise applications, APIs, and data platforms
Demonstrated experience working in Agile delivery frameworks such as Scrum or SAFe
Strong analytical, troubleshooting, and communication skills
AWS Certifications (Solutions Architect, Developer, or DevOps Engineer) preferred
Experience with multi-agent architectures and agent orchestration frameworks preferred
Experience with vector databases and advanced knowledge retrieval solutions preferred
Experience with AI governance, observability, evaluation frameworks, and responsible AI practices preferred
Adobe Experience Manager (AEM) experience preferred
Power BI or enterprise reporting experience preferred
Experience supporting communications, digital experience, content management, or customer-facing platforms preferred
Vanguard is not offering visa sponsorship for this position

Core Competencies

Demonstrates expertise in designing and developing enterprise-grade cloud and AI solutions, with a strong focus on AWS technologies, data pipelines, and infrastructure automation. Proven ability to lead teams, mentor engineers, and implement best practices in cloud architecture and DevOps.

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