Apps AI Solution Architect AMS (Remote Home, US)

Atos·Remote(United States)

Other

Excel

WFA Digital Insight

The demand for AI-powered solutions is on the rise, with a 25% increase in AI adoption in the past year alone. As a result, companies like Atos are looking for skilled professionals to lead the charge in AI-native application design and development. With the ability to work remotely, this role offers a unique opportunity for applicants to bring their expertise to a global leader in digital transformation. According to recent statistics, the AI market is expected to reach

90 billion by 2025, making this a high-growth field with immense potential. Before applying, candidates should be aware of the required skills, including Excel, and the need for a strong background in application architecture and AI engineering.

Job Description

About the Role

The Apps AI Solution Architect role at Atos is a pivotal position that requires a unique blend of application architecture expertise and AI engineering skills. As a leader in AI-native application design and development, the successful candidate will be responsible for driving innovation and delivering proof-of-value initiatives that convert emerging technology possibilities into tangible business impact. The role entails working closely with delivery and support teams to embed AI in software engineering, testing, incident management, and observability, driving efficiency, resilience, and proactive operations.

The role is part of a global team, with the opportunity to work remotely and collaborate with colleagues across different time zones. The ideal candidate will have a strong background in application architecture, engineering, or digital transformation, with at least 10 years of experience in the field.

What You Will Do

Architect AI-Native Applications: Design and implement architectures that integrate AI models into application workflows to enable reasoning, automation, and contextual decision-making.
End-to-End Application Design: Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
Drive Modernization Through AI: Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios.
Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
Infuse AI Across Dev & Ops: Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability.
Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools within modernization pipelines to accelerate delivery.
Integration & Ecosystem: Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
Lead Proofs of Value (PoVs): Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
Collaborate & Evangelize: Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
Develop Reusable Assets: Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

What We Are Looking For

10-15 years of experience in Application Architecture, Engineering, or Digital Transformation.
Strong background in AI engineering, including hands-on experience with AI models and tools.
Experience with application design, development, and modernization, including UI/UX, front-end, back-end, integration, data, and cloud.
Strong understanding of AI concepts, including machine learning, deep learning, and natural language processing.
Experience with cloud-native platforms, including AWS, Azure, or Google Cloud.
Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
Experience with Agile development methodologies and version control systems, such as Git.

Nice to Have

Experience with Excel and other productivity tools.
Knowledge of cybersecurity principles and practices.
Experience with DevOps tools, such as Jenkins, Docker, or Kubernetes.
Certification in AI or machine learning, such as TensorFlow or PyTorch.

Benefits and Perks

Competitive salary and benefits package.
Opportunity to work remotely and collaborate with a global team.
Professional development and training opportunities, including access to AI and machine learning courses.
Health and wellness programs, including mental health support and employee assistance programs.
Paid time off and holiday pay, including flexible work arrangements.
Access to the latest technologies and tools, including AI and machine learning platforms.

How to Stand Out

To stand out in this role, highlight your experience with AI engineering and application architecture, and be prepared to provide examples of your work.
Make sure to include any relevant certifications or training in AI or machine learning in your application.
Be prepared to discuss your experience with cloud-native platforms and DevOps tools, and how you have applied these skills in previous roles.
In the interview, be ready to provide examples of how you have driven innovation and delivered proof-of-value initiatives in previous roles.
When negotiating salary, be sure to highlight your experience and qualifications, and be prepared to discuss your expectations for the role.
Be sure to research the company culture and values, and be prepared to discuss how you align with these in the interview.

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