AI Solution Architect / FDE (AWS and Azure) -

NTT DATA, Inc.; California City (CA); On-site; USD 99,000 - 134,000; Full time

Job summary

NTT DATA in Toronto seeks an AI Lead / AI Solutions Architect to design, develop, and implement enterprise AI solutions for financial services. The role blends AI/ML engineering, solution architecture, and technical leadership to translate research into scalable, production-ready systems.

You will collaborate with data scientists, software engineers, product teams, and stakeholders to deploy document intelligence, automation, decisioning, and Generative AI capabilities.

Qualifications

• 10+ years software engineering / technology experience.
• 3+ years hands-on AI/ML.
• Experience in AI/ML architecture; production AI.
• Financial services or regulated industries preferred.

Responsibilities

• Architect end-to-end AI/ML solutions from concept to production.
• Design scalable architectures for AI-powered apps, data pipelines, and workflows.
• Lead technical decisions on Generative AI, RAG, LLMs, and multi-agent systems.
• Establish standards for secure, scalable AI solutions.

Skills

AI/ML architecture

Production AI

Generative AI

RAG

Multi-Agent Systems

NLP

LLMs

Job description

Req ID: 391925

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a AI Solution Architect / FDE (AWS and Azure) - to join our team in Toronto, Ontario (CA-ON), Canada (CA).

AI Lead / AI Solutions Architect

Experience: 10+ years software engineering / technology experience | 3+ years hands-on AI/ML
Focus: AI/ML Architecture | Generative AI | RAG | Multi-Agent Systems | Production AI
Industry: Financial Services / Regulated Industries preferred

About the Role

We are seeking an experienced AI Lead / AI Solutions Architect to lead the design, development, and implementation of enterprise AI solutions across Financial Services .

This role combines AI/ML engineering, solution architecture, technical leadership, and strategic problem-solving . The ideal candidate will be able to take AI concepts from research and experimentation through architecture, development, deployment, and production—while translating complex technology into measurable business value.

You will work closely with data scientists, ML engineers, software developers, product teams, and business stakeholders to deliver scalable AI solutions across areas such as document intelligence, intelligent automation, decisioning, and Generative AI .

Responsibilities

AI & Solution Architecture

• Architect end-to-end AI/ML solutions from concept and experimentation through production deployment.
• Design scalable architectures for AI-powered applications, APIs, data pipelines, and intelligent workflows.
• Evaluate emerging AI technologies and determine how they can be applied to real-world business challenges.
• Lead technical decisions involving Generative AI, RAG, LLMs, multi-agent systems, NLP, and transformer-based models .
• Establish standards and best practices for building secure, reliable, scalable, and maintainable AI solutions.
• Balance technical innovation with business requirements, scalability, performance, security, and cost.

AI/ML Engineering

• Lead the development and implementation of production-grade AI/ML solutions.
• Develop and evaluate machine learning models and AI applications using modern frameworks and techniques.
• Design and optimize RAG