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COMPLETE Senior Solutions Architect - AI/ML, ST - CI - Azure - Seattle

15 days ago


Job Opportunity Details


Full Time


Not Telling

Work from home


Weekly Working Hours

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Working Location

Seattle, Seattle, WA, United States   [ View map ]

Job Description

Are you passionate about Generative AI (GenAI), Machine Learning (ML), and Deep Learning (DL)? Would you like to master these technologies across multiple public cloud providers to help customers build state-of-the-art solutions showcasing GenAI & ML’s potential?

As an Azure GenAI & ML Specialist in the AWS Cloud Intelligence team, you will be the Subject Matter Expert (SME) who advises customers on the differences between Azure’s and AWS’s AI, ML, and GenAI offerings. You will engage with product owners, marketing, and field leadership to position and differentiate AWS solutions in the AI/ML and GenAI space.

Ideal candidates must have deep technical experience working with technologies related to artificial intelligence, machine learning, and/or deep learning. They must have the technical depth and the business acumen to communicate the benefits of AWS offerings to architects, data scientists, and C-level executives. They must be able to collaborate with cross-functional teams and think strategically to solve complex business and technical problems. They must have the inclination to share their insights and educate peers to foster a technical community of SMEs.

Key job responsibilities
- Customer Advisor. Guide technical and business decision-makers through their Generative AI and Machine Learning technology selection process.
- Thought Leader. Stay up-to-date with the ecosystem of software vendors in the AI/ML space. Analyze Azure, AWS, OpenAI, and open-source services to extract technical and business insights that drive reference architectures, runbooks, blogs, and training content.
- Leader/Trainer/Evangelist. Create field enablement materials for internal communities of ML SMEs and the broader AWS field (SAs, sellers, and consultants) to help them understand how our offerings integrate & compare with other vendor’s offerings.
- Solutions Architect. Work with customers’ development and data science teams to deeply understand their business and technical needs. Design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services to address their requirements.
- Product Advisor. Act as technical liaison between customers and our service teams to influence customer-driving innovation and sustained leadership in the AI/ML space.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications:

- 5+ years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS technologies.
- 8+ years of customer-facing experience as a solutions architect, data scientist, technical consultant, or technical pre-sales
- Hands-on experience deploying, fine-tuning, and consuming proprietary and open-source large language models (LLMs) such as Amazon Titan, Claude, Cohere, Falcon, GPT, LLaMA, etc.

Preferred Qualifications:

- Experience with Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Services. Strong interest in maintaining this knowledge
- Experience with AWS technologies like SageMaker, Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Personalize, and other AI/ML and GenAI services.
- Track record of thought leadership and innovation around Machine Learning.
- Experience as a leader and mentor, preferably in a data science team.
- Sound business judgment with proven ability to influence business stakeholders
- Public cloud provider certifications: AWS, Azure, or Google Cloud
- Strong problem-solving skills. Demonstrated ability to analyze problems, develop actionable tactical plans quickly, and up-level the insights to strategy.
- Demonstrated ability to be a "trusted advisor" to customers. Able to facilitate relationships with senior technical executives, as well as easily interact and give guidance to data scientists and system architects.
- Excellent written and presentation communication skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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Application Details

  • Organization Details
    Amazon Web Services, Inc.

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