Senior Deep Learning Architect, Agentic AI Professional Services jobs in United States
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Amazon Web Services (AWS) · 11 hours ago

Senior Deep Learning Architect, Agentic AI Professional Services

Amazon Web Services (AWS) is seeking a skilled deep learning architect for their Agentic AI Professional Services Experience team. In this role, you will design and build AI agents that automate and accelerate consulting services delivery, ensuring solutions meet industry standards and providing technical expertise to drive customer success.

Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Deep Learning ArchitectureAI/ML SolutionsCloud ArchitecturePython DevelopmentAWS Services KnowledgePerformance OptimizationProject ManagementCommunication SkillsMentoringTeam Collaboration

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

Preferred

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

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

H1B Sponsorship

Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
BIRD Foundation
2025-01-22Grant

Leadership Team

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Matt Garman
Chief Executive Officer
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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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Company data provided by crunchbase