AI Solution Architect / FDE (AWS and Azure) -

NTT DATA, Inc.; Toronto; A distancia; CAD 164.000 - 252.000; Jornada completa

Descripción de la vacante

NTT DATA, Inc. in Toronto, Canada is seeking an experienced AI Lead / AI Solutions Architect to design, build, and deploy enterprise AI solutions for financial services clients.

You will drive AI/ML engineering, architecture, and delivery, working with data scientists, software engineers, and product teams to translate AI concepts into scalable production systems.

Formación

• 10+ years of professional software engineering, technology, or relevant research experience.
• 3+ years hands-on AI/ML engineering experience in production environments.
• Experienced with modern AI/ML frameworks such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain.

Responsabilidades

• Architect end-to-end AI/ML solutions from concept through production deployment.
• Design scalable architectures for AI-powered applications, APIs, data pipelines, and workflows.
• Lead technical decisions involving Generative AI, RAG, LLMs, multi-agent systems, NLP and transformer models.
• Establish standards for security, reliability, and maintainability of AI solutions.
• Promote collaboration across AI/ML engineering, software development, data science and business teams.

Conocimientos

Python development

AI/ML engineering

LLMs / Generative AI

API design

Cloud (AWS/Azure)

Herramientas

PyTorch

TensorFlow/Keras

Hugging Face

LangChain

Descripción del empleo

Req ID: 391925

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

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 pipelines, LLM applications, prompt strategies, and multi-agent architectures.
• Work with document intelligence, PDF processing, text extraction, NLP, and automated decisioning use cases.
• Develop APIs and services that integrate AI capabilities into enterprise applications.
• Establish model evaluation, monitoring, performance measurement, and continuous improvement processes.

Technical Leadership & Delivery

• Lead complex AI initiatives from discovery and prototyping through production.
• Own solution architecture, technical design, implementation strategy, and delivery planning.
• Coordinate teams across AI/ML engineering, software development, data science, infrastructure, and business functions.
• Translate business requirements into technical solutions, architecture, and implementation roadmaps.
• Identify technical risks, dependencies, and opportunities early in the development lifecycle.
• Ensure successful transition from experimentation and proof-of-concept to scalable production solutions.

AI Platform, DevOps & MLOps

• Design and maintain deployment pipelines for AI/ML applications and models.
• Establish practices for model deployment, monitoring, versioning, testing, and lifecycle management.
• Support integration of AI solutions with enterprise systems, APIs, databases, and data platforms.
• Promote automation and repeatable engineering practices across the AI development lifecycle.
• Help establish standards for production readiness, observability, reliability, and governance.

Technical Mentorship

• Mentor engineers and technical team members in AI/ML engineering and software development practices.
• Provide guidance on model selection, evaluation techniques, architecture, and implementation approaches.
• Conduct code and architecture reviews and promote engineering best practices.
• Encourage experimentation, knowledge sharing, technical documentation, and continuous learning.
• Help bridge the gap between advanced AI concepts and practical enterprise applications.

Required Qualifications

• 10+ years of professional software engineering, technology, or relevant research experience.
• 3+ years of hands-on AI/ML engineering experience in production environments.
• Expert-level Python development skills.
• Strong experience designing and implementing end-to-end AI/ML solutions.
• Experience with modern AI/ML frameworks such as:
• PyTorch
• TensorFlow / Keras
• Hugging Face Transformers
• LangChain or comparable LLM frameworks
• Strong understanding of Generative AI, LLMs, RAG, NLP, and transformer architectures.
• Experience designing and developing production APIs and services using technologies such as FastAPI, Flask, or Django.
• Strong knowledge of RESTful API design and system integration.
• Experience with SQL and relational databases, including PostgreSQL.
• Experience developing data processing and ETL pipelines.
• Proven experience leading complex technical initiatives and working across multiple teams.
• Strong communication skills with the ability to explain complex technical concepts to both technical and business audiences.

Preferred Qualifications

• Experience designing and implementing multi-agent AI systems.
• Experience with prompt engineering, LLM optimization, and AI evaluation frameworks.
• Experience with document intelligence, PDF parsing, OCR, text extraction, or intelligent document processing.
• Experience deploying AI solutions in financial services or other highly regulated industries.
• Experience with enterprise AI governance, security, responsible AI, and model risk considerations.
• Experience with cloud-based AI/ML platforms and modern MLOps practices.
• Full-stack development experience, including JavaScript and modern web technologies.
• Experience integrating AI solutions with enterprise applications and data platforms.
• Published research, technical papers, patents, conference presentations, or other contributions to the AI/ML community.

Key Competencies

• Strategic thinker who can connect AI capabilities to measurable business outcomes.
• Strong problem solver who can navigate complex technical and business challenges.
• Hands-on technical leader who can architect solutions and contribute to implementation.
• Collaborative communicator who can work effectively with engineers, data scientists, business leaders, and executives.
• Innovation mindset with a practical approach to evaluating and adopting emerging AI technologies.
• Mentor and team builder who develops technical talent and promotes engineering excellence.
• Business focused with an understanding of scalability, ROI, risk, security, and operational impact.

Why This Role

This is an opportunity to help shape the next generation of enterprise AI solutions within one of Canada's leading financial institutions.

You will have the opportunity to work on challenging AI problems, influence architecture and technology strategy, lead highly skilled technical teams, and take emerging AI capabilities from innovation and experimentation to production at enterprise scale.

If you are an experienced AI/ML leader who combines deep technical expertise with strong architecture and leadership skills, we'd like to hear from you.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $163,697-$252,175. This range reflects the minimum and maximum target compensation for the position across all CANADA locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

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 world’s 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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.