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Senior GenAI/ML Specialist Solutions Architect, AWS Global Sales (AGS) Full Time

DESCRIPTION

AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in the 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. 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. 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 range of top 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.

Key job responsibilities
1. 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

2. Customer Advisory: Act as a trusted advisor to the line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey

3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers’ technical objectives and validate proposed solutions

4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and help educate the broader technical community

5. 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

6. 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

A day in the life
AWS Values Your Experience
We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you’re early in your career, have followed a non-traditional path, or bring alternative experiences, we want to hear from you.

Why AWS?
As the world’s most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.

Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.

Professional Development
As we work toward our goal of becoming Earth’s Best Employer, we invest heavily in our people. You’ll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.

Work/Life Harmony
Success at work shouldn’t require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

BASIC QUALIFICATIONS

– Bachelor’s degree in computer science, engineering, mathematics, or equivalent, or experience in a professional field or military
– Experience in IT development or implementation/consulting in the software or Internet industries
– Experience within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
– Experience in design, implementation, or consulting in applications and infrastructures
– Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients

PREFERRED QUALIFICATIONS

– Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
– Experience in infrastructure architecture, database architecture, and networking
– Experience working with end-user or developer communities

Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, don’t hesitate to get in touch with your Recruiting Partner.

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More about this job

Senior Specialist and Solutions Architect Advisor in Artificial Intelligence / Machine Learning (AI/ML): Duties, Experience, Skills, and Opportunities in the Future

In the information age, terms such as artificial intelligence (AI) and machine learning (ML) are now talked about not as something new. They lie right in the heart of company innovation, competition and creation of customer value. AWS, the largest cloud provider in the world, is on the frontlineof this revolution. Of the specialist roles, the Senior GenAI/ML Specialist Solutions Architect within AWS Global Sales (AGS) is one of the most thrilling and significant professions.

This position balances the technical insight into generator AI (GenAI), machine learning solutions and cloud technologies with the vision to steer companies, startups, and industries to becoming more digital.

This blog post will focus on the role of the occupation, roles and duties of the occupation, skills and qualifications necessary of the occupation, the compensation paid to this role, setback of the role, as well as the future of the occupation. We shall also address some of the most commonly asked questions helping aspiring professionals to appreciate why this is an important position in the emerging AI driven global market.

What is Senior GenAI/ML Specialist Solutions Architect at AWS?

AWS Global Sales A Senior GenAI/ML Specialist Solutions Architect is a professional who helps customers worldwide develop and scale AI/ML solutions on AWS.

The position is part-time:

Technical

Developing and implementing the state-of-the-art AI and ML.

Consultative

Advising the customers on the application of generative AI technologies to business development.

Strategic

Enabling organizations to make the most out of their operations, enhance the customer experience and achieve competitive advantage on the basis of insights made by AI.

This is a technologist, or AWS technology liaison to customer success. They not only offer technical solutions but also that such solutions are related to the business objectives of the customer.

What is the Significance Behind this Role in AWS Global Sales (AGS)?

The AWS Global Sales (AGS) group sells to enter corporates, governments and industries. The customers are no longer content to consume just the cloud infrastructure, they require intelligent, secure and scalable AI/ML solution.

These are the reasons why the Senior GenAI/ML Specialist Solutions Architect is crucial:

  • Transforming Digital Business – Assisting organizations implement AI/ML in the real world like predictive analytics, chatbots, fraud detection and automation.

  • Enabling Generative AI – Enabling businesses to use GenAI to generate content, make product recommendations, or provide customer service automation.

  • Optimizing Cloud Resources – Engineering ML pipelines that are efficient and cost effective on AWS cloud.

  • Enhancing Customer Experience – Creating smarter applications that makes services quicker and more personalised.

  • Revenue Growth – By empowering smart solutions, this position contributes directly to the mission of AWS to expand the use of AI-based solutions around the world.

A customer would not be able to incorporate complex AI solutions in their work without such a role.

Duties of a Senior GenAI/ML Specialist Solutions Architect

This job is part consulting, part technical implementation and part leadership. The primary duties are given below:

1. Solution Design/Architecture

  • Constructing ML pipeline on AWS.

  • Creating a scalable GenAI application using AWS products like SageMaker, Bedrock, Lambda and EC2.

  • Ensuring solutions comply with requirements of compliance, security and performance.

2. Customer Engagement

  • Meeting the international customers to know what they need.

  • Introducing technical demonstration and POC models.

  • Telling on the best practice used in implementation of AI/ML systems.

3. Generative AI Creativity

  • Using the LLMs (Large Language Models) in business.

  • Developing automation solutions based on AI.

  • Facilitating companies to use GenAI tools in their processes.

4. AWS Teams Collaboration

  • Collaborating well with product managers, cloud engineers, and data scientists.

  • Taking a role of subject matter expert (SME) on the internal AWS teams.

  • Adding business value to the AWS global AI/ML strategy.

5. Mentoring and Training

  • Coaching junior architects and engineers.

  • Conducting customer workshops and technical boot-camps.

  • Combining knowledge in the most up-to-date trends in AI/ML.

Skills Required to be Successful

To be a successful Senior GenAI/ML Specialist Solutions Architect requires the knowledge of both technical and business-oriented abilities.

Technical Skills

  • Machine Learning & Deep Learning – Practical experience with neural networks, natural language processing (NLP), deep learning models.

  • Generative AI (GenAI) – Experience with LLMs, diffusion and generative systems.

  • Applied Programming Languages – Python, R and Java.

  • Cloud Platforms – AWS SageMaker, AWS Bedrock, EC2, S3, Lambda, Redshift.

  • Data Engineering – SQL, data pipelines, ETL frameworks.

  • DevOps – CI/CD pipelines – AI/ML deployment pipelines.

Business and Q Skills

  • Client Focused Disposition – Knowing the customer and providing customized AI service.

  • Problem-Solving – Learning to solve technical issues in a common sense way.

  • Thinking Strategically – Matching AI implementations with business objectives.

  • Communication Skills – Being able to explain non-technical terms to non-technical stakeholders.

Soft Skills

  • Working with various intercultural teams.

  • Flexibility of AI rapid-replacing environments.

  • Ability to lead and mentor.

Qualifications Needed

  • Qualification: Bachelor or master degree in Computer Science, Data Science, Artificial Intelligence or Engineering.

  • Experience: 5-10 years of experience working in field of AI/ML engineering, cloud architecture, or data science.

Certifications (preferred):

  • Solutions Architect (AWSC)

  • AWS Certified Machine Learning Specialty

  • TensorFlow/PyTorch Certifications

  • Professional certifications in data science

Salary and Benefits

Salary is paid differently basing on regions, experience, and the extent of the project. On average:

  • Annual salary range is USD $130,000 – USD $180,000+.

Additional Benefits:

  • AWS employee benefit and stock options.

  • The ability to work remotely/flexibly.

  • Opportunity to attend international conferences and training.

  • Exposure to state of the art AI and ML applications.

Career Development Plan

The position is a platform that could provide infinite growths. Career opportunities are possible in:

  • Principal Solutions Architect

  • Senior Solutions Architect

  • ML Engineer / GenAI Specialist

  • AI/ML Team Lead

  • Technical Director to trans Global Practice leader AI/ML

  • Chief Technology Officer (CTO) of AI-driven organisations

This position is a stable and safe choice since the necessity of an AI/ML architect grows all over the world.

Challenge to the Role

As with any other top job, this one is fraught with difficulties:

  • High-pace Technology – The grade of evolving AI and ML is rapid, and it is the sole solution that will keep you updated with the latest changes.

  • Complexity of Large Data – Dealing with massive global data.

  • Customer Diversity – Dealing with industries that have hugely different requirements.

  • The Stress of Innovation – The ability to provide high-value AI solutions within short time-lines.

Addressing these setbacks leads professionals to hone their skills in their fields and their leadership.

GenAI/ML Future Scope at AWS

The future is very bright in reference to this role. Trends affecting the career are:

  • Generative AI Use – Businesses will adopt generative AI into generating and customizing services.

  • AI + Cloud Integration – Increasing demand of easy to scale cloud based AI solutions.

  • MLOps Automation – The simplicity of automating ML deployment and monitoring through AI-powered automation.

  • Sustainable AI – Economising with AI to cut back on resource wastage, energy consumption and increase performance.

  • AI/ML Adoption in the Global Enterprise World Growth – More enterprises across the globe integrating with APIs.

This role is the way to keep professionals on the edge of innovation in the area of AI and cloud.

FAQs

Q1. What is the work of a Senior GenAI/ML Specialist Solutions Architect at AWS?
They develop and implement AI/ML initiatives, assist international customers, and assist businesses in transforming toward generative AI.

Q2. Is this job technical only?
But it is technical and strategic, as it is a mixture of solution design and business consulting.

Q3. Which are the key tools?
AWS SageMaker, AWS Bedrock, Python, TensorFlow, PyTorch and cloud data services.

Q4. So how much do people make on delegate?
Between 130 000 and 180 000+ annually, the wage depends on experience and location.

Q5. Is there a long-term prospect of this profession?
Experts will have opportunities to become Principal Architect, AI Director or even CTO.

Conclusion

A Senior GenAI/ML Specialist Solutions Architect with AWS Global Sales (AGS) is a career with one of the greatest impacts in the modern environment of the Artificial Intelligence (AI) era. It combines cutting edge technology and customer centric approach to make organizations innovate and expand.

By making the complex AI concepts work, such specialists enable businesses to grow effectively and efficiently, improve the customer experience, and grow revenue. On the one hand, the position is burdened with such challenges as the high dynamicity of technology and complexity demands on the global level; on the other hand, it can provide invaluable rewards, career development, and the opportunity to work on innovative generative AI projects.

This is not a normal nine-to-five job, and it is not an ordinary opportunity. If you are eager about AI, cloud computing and what happens to the world of innovation in this globalized world, then it is a once in-a-lifetime opportunity to make a mark on the future of the digital world.

#AWS #MachineLearning #GenerativeAI #SolutionsArchitect #CloudComputing #AIJobs #TechCareers #AWSGlobalSales

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Job Overview

  • Date Posted:
  • Expiration date: January 3, 2026
  • Location: GBR, London
  • Job Title: Senior GenAI/ML Specialist Solutions Architect, AWS Global Sales (AGS)
  • Salary: $Attractive Salary & Incentives - $Attractive Salary Package
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