Senior Delivery Consultant – Machine Learning (GenAI), Public Sector
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Key Job Responsibilities
* Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
* Collaborate with stakeholders to gather requirements and propose effective migration strategies.
* Provide technical guidance and troubleshooting support throughout project delivery.
* Act as a trusted advisor to customers on industry trends and emerging technologies.
* Mentor and share knowledge within the organization through training and creating reusable artifacts.
Basic Qualifications
* 5+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
* 5+ years of cloud architecture and implementation experience with a proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
* Experience applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.
* Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or equivalent experience.
* Knowledge of data modeling principles, statistical analysis methodologies, and ability to extract meaningful insights from complex, large-scale datasets.
* Swedish national with business level proficiency in Swedish. (This role requires Swedish nationality.)
Preferred Qualifications
* AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) and AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional).
* Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR).
* Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
* Experience developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, and implementation of AI systems.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Amazon provides accommodations and adjustments to meet the needs of candidates with disabilities. For more information, see https://amazon.jobs/content/en/how-we-hire/accommodations.
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