Senior Ai Solution Architect, Specialist Sa Job at myGwork

Job Description

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. You will craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing an entirely new cloud-based system. SSAs play a critical role in capturing customer feedback, advocating roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field. This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.

Job Responsibility

Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation
Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects
Be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features
Link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)
Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization

Requirements

7+ years of in design/implementation/operations/consulting with distributed applications experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
5+ years of working with or evaluating AI systems experience
Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization

Nice to have

Cloud Technology Certification, or AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Master's degree or equivalent in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
Ability to influence customer and internal business decision makers as a technical thought leader
Experience in running and fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning, and RLHF to optimize for specific domain tasks
Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector)

What we offer

health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
Registered Retirement Savings Plan (RRSP)
Deferred Profit Sharing Plan (DPSP)
paid time off
other resources to improve health and well-being

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Senior Ai Solution Architect, Specialist Sa

Job Description

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