Senior AI Architect, Agentic AI Professional Services Experience

Amazon Amazon · Big Tech · Dallas, TX · Applied Science

Senior AI Architect role focused on designing and building AI agents for AWS Professional Services to automate and accelerate consulting services delivery. The role involves working with customers, leading technical solutions, and architecting scalable AI/ML and GenAI solutions on AWS.

What you'd actually do

  1. Hands-on design and build AI agents that support high-performance, reliable, scalable, and secure workloads.
  2. Collaborating with cross-functional teams to test and evaluate agent capabilities and roll out to internal and external users
  3. Serving as a catalyst to enable ProServe builders and trusted advisor to customers on how to use ProServe agents to accelerate solution delivery
  4. Sharing knowledge and best practices through mentoring, training, publication, presentation, and creating reusable artifacts.
  5. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

Skills

Required

  • 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 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

What the JD emphasized

  • agentic AI applications
  • building and deploying on cloud

Other signals

  • design and build AI agents
  • automate and accelerate consulting services delivery
  • customer engagements
  • technical leader
  • architecting complex, scalable, and secure AI/ML and GenAI solutions
  • building new agents and rolling them out to builders internally and customers and partners