Technical Architect (AI)

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow belong and thrive.

Your day at NTT DATA

The AI Solutions Engineer is a specialist role responsible for actively participating in identifying high-value use cases assessing solution feasibility prototyping innovative ideas and delivering successful pilot projects.

This role demands specialist technical knowledge proficiency in software engineering and capability in data engineering and cloud infrastructure. The AI Solutions Engineer is expected to ensure secure reliable and scalable integrations with existing enterprise platforms systems and data sources.

Key Responsibilities:

• Develop fine-tune and deploy AI models including large language models (LLMs) such as GPT-4 or open-source equivalents.
• Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy consistency and reliability.
• Engage with internal stakeholders and clients to understand business needs translating them into actionable AI solutions.
• Rapidly prototype test and iterate AI applications using advanced Python programming and relevant frameworks.
• Integrate AI solutions securely with existing enterprise systems (CRM ERP HRIS finance platforms collaboration software) via API development and integration.
• Build maintain and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models.
• Manage structured and unstructured datasets leveraging vector databases and semantic search to enhance knowledge management capabilities.
• Deploy manage and scale AI solutions within cloud computing environments (Azure AWS GCP) ensuring high availability performance and cost efficiency.
• Implement DevOps and MLOps practices including automated deployment testing monitoring and version control to efficiently manage the AI model lifecycle.
• Ensure AI solutions adhere to industry standards and compliance regulations (GDPR HIPAA) emphasizing security and privacy best practices.
• Identify and mitigate risks associated with AI deployments proactively addressing ethical considerations biases and unintended consequences.
• Collaborate closely with business and functional teams to streamline processes through intelligent automation and deliver measurable business outcomes.
• Provide clear documentation of technical designs project plans and operational procedures.
• Contribute to the continuous improvement of AI best practices methodologies and internal frameworks.
• Stay abreast of the latest AI and machine learning developments continuously evaluating emerging technologies and methodologies.

To thrive in this role you need to have:

• Demonstrated understanding of artificial intelligence natural language processing (NLP) and machine learning principles.
• Expertise in selecting fine-tuning and deploying large and small language models (LLMs/SLMs) such as OpenAIs GPT series and open-source alternatives.
• Specialist proficiency in Python programming essential for rapid prototyping integration and model is the preferred language for AI; strong proficiency in Python is essential due to the extensive use of frameworks libraries and models.
• Knowledge of additional programming languages (optional but valuable):
  • JavaScript / TypeScript:Helpful if building frontend interfaces or web integrations.
  • Java / C#:Beneficial for integrations with enterprise backend systems (e.g. ERP CRM).
• Familiarity with full-stack software development including frontend and backend integration user experience considerations and system interoperability.
• Robust knowledge of data pipeline development data engineering concepts and handling of structured and unstructured data.
• Proficiency in cloud computing platforms (Azure AWS GCP) particularly in deploying scaling and managing AI workloads.
• Experience with Microsoft Copilot Studio Azure AI Foundry and Semantic Kernel is highly desirable.
• Awareness and application of security compliance and risk management practices related to AI solutions.
• Understanding of ethical AI considerations bias mitigation and responsible AI deployment.
• Demonstrated domain and business acumen capable of aligning technical solutions with business strategies and processes for measurable impact.
• Excellent communication skills ability to clearly articulate technical concepts to non-technical stakeholders.
• Strong analytical problem-solving capabilities organizational skills and attention to detail.
• Ability to manage multiple projects simultaneously prioritize tasks effectively and meet deadlines in a fast-paced environment.
• Passionate about continuous learning innovation and keeping abreast of industry trends.

Academic Qualifications and Certifications:

• Bachelors degree in Computer Science Engineering Data Science or a related field.
• Microsoft Certified: Azure AI Engineer Associate (preferred)
• Microsoft Certified: Azure Solutions Architect Expert (preferred)
• Microsoft Certified: Data Scientist Associate (preferred)
• Microsoft Certified: Azure Data Engineer Associate (preferred)
• Microsoft Certified: Power Platform Fundamentals (preferred)
• Relevant certifications or training in Machine Learning AI development Data Analytics and Cloud Computing (advantageous)

Required Experience:

• Demonstrated experience (typically 4-6 years) developing deploying and maintaining AI and machine learning solutions in enterprise environments.
• Hands-on expertise in AI model development fine-tuning and optimization using Python and relevant frameworks.
• Demonstrated experience implementing prompt engineering methodologies and optimizing model performance.
• Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms.
• Experience building robust data pipelines managing structured/unstructured data and leveraging vector databases.
• Practical experience deploying and scaling AI applications within cloud platforms (Azure AWS or GCP).
• Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently.
• Proven track record ensuring security privacy compliance and responsible use of AI solutions within regulated environments.
• Experience engaging directly with clients and stakeholders translating business requirements into effective technical solutions.

Workplace type:

About NTT DATA
NTT DATA is a $30 billion business and technology services leader serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the worlds leading AI and digital infrastructure providers with unmatched capabilities in enterprise-scale AI cloud security connectivity data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group which invests over $3 billion each year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age race colour gender sexual orientation religion nationality disability pregnancy marital status veteran status or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiterswhether in writing or by phonein order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @ email address. If you suspect any fraudulent activity please contact us.