Senior Cloud Architect, ML/AI

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Architect, ML/AI in the United States.

This is a senior, customer-facing cloud architecture role focused on designing and delivering advanced machine learning and generative AI solutions on AWS within complex, multi-cloud environments. You will act as a trusted technical advisor, guiding organizations through the full lifecycle of AI/ML adoption—from discovery and architecture design to deployment, optimization, and production-scale operations. Working within a global forward-deployed engineering context, you will help translate business challenges into secure, scalable, and cost-efficient cloud architectures. This role blends deep hands-on technical execution with strategic influence, enabling you to shape both customer outcomes and internal best practices. You will also play a key role in transforming one-off AI/ML solutions into reusable architectural patterns that drive broader product and platform evolution. This is a high-impact opportunity for an expert architect passionate about GenAI, cloud-native systems, and real-world production AI at scale.

Accountabilities:

Lead the design, architecture, and implementation of production-grade ML and GenAI solutions on AWS across full data, training, inference, and integration pipelines.
Translate complex business requirements into scalable, secure, and cost-optimized cloud architectures aligned with customer objectives.
Serve as a technical advisor across customer engagements, from proof-of-value through production deployment and optimization.
Design and promote reusable AI/ML architectural patterns, turning field learnings into scalable “gravel road” solutions.
Partner with sales, customer success, and engineering teams to support adoption, expansion, and successful delivery outcomes.
Drive AI/ML solution quality through best practices in observability, reliability, security, and operational excellence.
Contribute to product evolution by sharing insights from customer implementations and influencing roadmap priorities.
Support both pre-sales (field engineering) and post-sales (delivery) motions depending on business needs.

Requirements:

The ideal candidate brings 4+ years of experience architecting and deploying cloud-based AI/ML solutions in production environments, with strong expertise in AWS. You have hands-on experience with services such as Amazon Bedrock and SageMaker, including model training, fine-tuning, deployment, and evaluation of LLMs and generative AI systems. Strong knowledge of distributed systems, data pipelines, and cloud-native architectures is essential, along with experience building end-to-end ML workflows using services such as S3, Glue, Lambda, Step Functions, and EKS. You understand MLOps practices, including CI/CD for AI systems, monitoring, governance, and model lifecycle management. Familiarity with frameworks such as TensorFlow or PyTorch and experience with data engineering tools is required. You bring strong communication skills, a consultative mindset, and the ability to influence both technical and non-technical stakeholders. Experience working in multi-cloud environments and collaborating across sales, product, and engineering teams is highly valued.

Benefits:

Competitive compensation package aligned with experience and expertise
Fully remote and flexible working arrangements
Opportunity to work on cutting-edge GenAI and ML solutions at global scale
Exposure to complex multi-cloud architectures and enterprise customers
Strong emphasis on professional development and continuous learning
Collaborative, engineering-driven culture with high technical ownership
Access to modern cloud platforms and advanced AI/ML tooling
Inclusive and diverse global work environment

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Benefits:

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