Senior AI Architect (AI Engineering)

TL;DR

Senior AI Architect (AI Engineering): Designing and building ProServe AI agents to automate consulting services delivery for customer workloads with an accent on high-performance, reliable, scalable, and secure workloads. Focus on enabling ProServe builders and advising customers on using ProServe agents to accelerate solution delivery.

Location: USA, TX, Dallas

Salary: 153,600.00 - 207,800.00 USD annually

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

• Design and build AI agents that support high-performance, reliable, scalable, and secure workloads.
• Collaborate with cross-functional teams to test and evaluate agent capabilities and roll out to internal and external users.
• Enable ProServe builders and advise customers on how to use ProServe agents to accelerate solution delivery.
• Share knowledge and best practices through mentoring, training, publication, presentation, and creating reusable artifacts.
• Ensure solutions meet industry standards and support customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

Requirements

• 7+ years of consulting, design, and implementation of serverless distributed solutions experience.
• 5+ years of software development with object-oriented language experience.
• 7+ years of external or internal customer-facing, complex, and large-scale project management experience.
• 5+ years of cloud architecture and solution implementation experience.
• 5+ years developing with Python, Typescript, SQL, and at least one additional programming language (e.g., Java, Scala, JavaScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch).
• 3+ years developing AI/ML including agentic AI applications, with a proven track record of building and deploying on the cloud.

Nice to have

• Degree in advanced technology or AWS Professional level certification.
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• Knowledge of security and compliance standards including HIPAA and GDPR.
• Experience in performance optimization and cost management for cloud environments.
• Experience communicating technical concepts to diverse audiences in pre-sales environments.

Culture & Benefits

• AWS values curiosity and connection.
• Employee-led and company-sponsored affinity groups promote inclusion.
• Endless knowledge-sharing, mentorship, and other career-advancing resources are available.
• Flexibility is part of the working culture.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.