Job Function: Services The role:
Are you passionate about helping customers unlock business value through Data, AI, and Generative AI solutions?
Do you enjoy partnering with customers to understand complex requirements, design innovative architectures, and lead technical discussions from presales through delivery?
Are you motivated by solving challenging business problems, driving innovation, and building trusted relationships as a strategic technology advisor?
As a Delivery Consultant – Data & AI, you will act as a key technical advisor to customers across the full engagement lifecycle, from presales through to delivery. You will work closely with sales, delivery leadership, and customers to design and implement GenAI and data platform solutions that address business needs and deliver measurable value.
Key Responsibilities:
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Support sales teams in identifying and developing opportunities related to GenAI and data platform solutions.
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Lead technical presales engagements, including customer discussions, requirements analysis, and solution proposal development.
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Design and architect GenAI and data platform solutions aligned to customer requirements and best practices.
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Lead or support delivery of customer projects, working closely with delivery leadership to ensure successful execution.
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Collaborate on the development of internal capabilities and reusable assets, including contributions to GenAI platforms and innovation initiatives.
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Share knowledge and provide guidance to team members, promoting best practices and continuous improvement across the team.
What we need to see from you:
- Eligibility to work full-time in Japan, with professional proficiency in Japanese (written and spoken) and English communication skills appropriate to the requirements of the role.
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Strong experience in machine learning, data platforms, or AI solution development, with hands-on exposure to real-world implementations.
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Solid understanding of data structures, data modeling, machine learning algorithms, and software architecture.
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Proficiency in Python and experience working with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, or similar).
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Experience designing and deploying solutions in cloud environments, particularly across Azure, AWS, or similar platforms, including exposure to cloud-based ML services.
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Strong understanding of modern AI and Generative AI concepts, with the ability to design, communicate, and position solutions in collaboration with cross-functional teams.
Why SoftwareOne?:
SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.
Accommodations:
SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at
[email protected].
Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
