At a Glance
- Tasks: Drive the adoption of AWS GenAI/ML services and design innovative solutions for enterprise customers.
- Company: Join a leading tech giant transforming businesses with cutting-edge AI technologies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with top-tier clients and establish yourself as a trusted technical advisor.
- Why this job: Be at the forefront of AI innovation and make a real impact on businesses.
- Qualifications: Deep expertise in Generative AI, Machine Learning, and cloud technologies required.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges.
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering).
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
- Bachelor's degree.
- 6+ years design/implementation/consulting experience for specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, data & analytics.
- 4+ years management of technical, customer facing resources.
- 4+ years of experience in a Data & AI related field.
- 4+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
- 4+ years professional experience in software development in languages related to ML like Python or Java.
- Experience working with RESTful API and general service-oriented architecture (Desirable).
- AWS ML Specialty certification (Desirable).
- 5+ years of AWS infrastructure architecture, security, database architecture and networking experience (Desirable).
- Experience working with end user or developer communities (Desirable).
- Knowledge of software development tools and methodologies (Desirable).
- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional).
What the job involves
AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You’ll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures. This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers. You’ll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You’ll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.
Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products.
Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey.
Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers’ technical objectives and validate proposed solutions.
Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community.
Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience.
External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent.
GenAI/ML Specialist Solutions Architect (AWS Global Sales) in London employer: Deepstreamtech
At AWS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a GenAI/ML Specialist Solutions Architect, you'll have the opportunity to work with leading enterprise customers in the UK, driving transformative AI solutions while benefiting from extensive professional development opportunities and a supportive environment that values diverse experiences and perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI/ML Specialist Solutions Architect (AWS Global Sales) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the GenAI/ML space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects in Generative AI and Machine Learning. This could be anything from GitHub repos to case studies that demonstrate how you've tackled complex challenges.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role. Tailor your message to resonate with both technical and non-technical audiences, especially when talking to C-suite leaders.
✨Tip Number 4
Apply through our website! We want to hear from you, even if you don’t tick every box. Your unique experiences could be just what we’re looking for, so don’t hesitate to put yourself out there!
We think you need these skills to ace GenAI/ML Specialist Solutions Architect (AWS Global Sales) in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for Generative AI and Machine Learning shine through. We want to see how excited you are about solving complex business challenges and driving innovation!
Tailor Your Experience:Make sure to highlight your relevant experience in your application. Whether it's your technical expertise or your customer-facing roles, we want to see how your background aligns with the job requirements. Don't be shy about showcasing your unique journey!
Keep It Clear and Concise:We appreciate clarity! Use straightforward language to communicate your skills and experiences. Remember, you might be talking to both technical and non-technical audiences, so make it easy for everyone to understand your value.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you have a solid grasp of Generative AI and Machine Learning services. Brush up on your knowledge of AWS products and be ready to discuss how you've used them in past projects. This will show that you're not just familiar with the tech, but that you can apply it to solve real business challenges.
✨Communicate Like a Pro
Since you'll be dealing with both technical and non-technical audiences, practice explaining complex concepts in simple terms. Think about how you would present your ideas to C-suite leaders or clients who may not have a technical background. Clear communication can set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Highlight your experience in designing and implementing AI/ML solutions, and be ready to discuss the impact of your work on the business. This will demonstrate your ability to bridge the gap between innovative technology and practical outcomes.
✨Be Ready for Technical Challenges
Expect to face some technical questions or scenarios during the interview. Brush up on your coding skills, especially in Python or Java, and be prepared to discuss your experience with frameworks like TensorFlow or PyTorch. Showing that you can think on your feet will impress your interviewers.
