{"id":2669861,"url":"https://alion.io/job/ntt-data-ai-solution-architect-fde-aws-and-azure","title":"AI Solution Architect / FDE (AWS and Azure)","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":94,"open_postings":96,"ghost_share":0,"stale_share":0.427,"repost_share":0.021,"time_to_fill_p50_days":17,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":163697,"max":252175,"currency":"CAD","period":"year","gross":null,"usd_annual":179577},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Django","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Hugging Face","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"JavaScript","optional":true},{"name":"OCR","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-11-02T03:42:39Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":20},"description":"Req ID: 391925\nNTT 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, apply now.\nWe are currently seeking a AI Solution Architect / FDE (AWS and Azure) - to join our team in Toronto, Ontario (CA-ON), Canada (CA).\nAI Lead / AI Solutions Architect\nExperience: 10+ years software engineering / technology experience | 3+ years hands-on AI/ML\nFocus: AI/ML Architecture | Generative AI | RAG | Multi-Agent Systems | Production AI\nIndustry: Financial Services / Regulated Industries preferred\nAbout the Role\nWe are seeking an experienced AI Lead / AI Solutions Architect to lead the design, development, and implementation of enterprise AI solutions across Financial Services.\nThis 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.\nYou 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.\nResponsibilities:\nAI & Solution Architecture\nArchitect end-to-end AI/ML solutions from concept and experimentation through production deployment.\nDesign scalable architectures for AI-powered applications, APIs, data pipelines, and intelligent workflows.\nEvaluate emerging AI technologies and determine how they can be applied to real-world business challenges.\nLead technical decisions involving Generative AI, RAG, LLMs, multi-agent systems, NLP, and transformer-based models.\nEstablish standards and best practices for building secure, reliable, scalable, and maintainable AI solutions.\nBalance technical innovation with business requirements, scalability, performance, security, and cost.\nAI/ML Engineering\nLead the development and implementation of production-grade AI/ML solutions.\nDevelop and evaluate machine learning models and AI applications using modern frameworks and techniques.\nDesign and optimize RAG pipelines, LLM applications, prompt strategies, and multi-agent architectures.\nWork with document intelligence, PDF processing, text extraction, NLP, and automated decisioning use cases.\nDevelop APIs and services that integrate AI capabilities into enterprise applications.\nEstablish model evaluation, monitoring, performance measurement, and continuous improvement processes.\nTechnical Leadership & Delivery\nLead complex AI initiatives from discovery and prototyping through production.\nOwn solution architecture, technical design, implementation strategy, and delivery planning.\nCoordinate teams across AI/ML engineering, software development, data science, infrastructure, and business functions.\nTranslate business requirements into technical solutions, architecture, and implementation roadmaps.\nIdentify technical risks, dependencies, and opportunities early in the development lifecycle.\nEnsure successful transition from experimentation and proof-of-concept to scalable production solutions.\nAI Platform, DevOps & MLOps\nDesign and maintain deployment pipelines for AI/ML applications and models.\nEstablish practices for model deployment, monitoring, versioning, testing, and lifecycle management.\nSupport integration of AI solutions with enterprise systems, APIs, databases, and data platforms.\nPromote automation and repeatable engineering practices across the AI development lifecycle.\nHelp establish standards for production readiness, observability, reliability, and governance.\nTechnical Mentorship\nMentor engineers and technical team members in AI/ML engineering and software development practices.\nProvide guidance on model selection, evaluation techniques, architecture, and implementation approaches.\nConduct code and architecture reviews and promote engineering best practices.\nEncourage experimentation, knowledge sharing, technical documentation, and continuous learning.\nHelp bridge the gap between advanced AI concepts and practical enterprise applications.\nRequired Qualifications\n10+ years of professional software engineering, technology, or relevant research experience.\n3+ years of hands-on AI/ML engineering experience in production environments.\nExpert-level Python development skills.\nStrong experience designing and implementing end-to-end AI/ML solutions.\nExperience with modern AI/ML frameworks such as:\nPyTorch\nTensorFlow / Keras\nHugging Face Transformers\nLangChain or comparable LLM frameworks\nStrong understanding of Generative AI, LLMs, RAG, NLP, and transformer architectures.\nExperience designing and developing production APIs and services using technologies such as FastAPI, Flask, or Django.\nStrong knowledge of RESTful API design and system integration.\nExperience with SQL and relational databases, including PostgreSQL.\nExperience developing data processing and ETL pipelines.\nProven experience leading complex technical initiatives and working across multiple teams.\nStrong communication skills with the ability to explain complex technical concepts to both technical and business audiences.\nPreferred Qualifications\nExperience designing and implementing multi-agent AI systems.\nExperience with prompt engineering, LLM optimization, and AI evaluation frameworks.\nExperience with document intelligence, PDF parsing, OCR, text extraction, or intelligent document processing.\nExperience deploying AI solutions in financial services or other highly regulated industries.\nExperience with enterprise AI governance, security, responsible AI, and model risk considerations.\nExperience with cloud-based AI/ML platforms and modern MLOps practices.\nFull-stack development experience, including JavaScript and modern web technologies.\nExperience integrating AI solutions with enterprise applications and data platforms.\nPublished research, technical papers, patents, conference presentations, or other contributions to the AI/ML community.\nKey Competencies\nStrategic thinker who can connect AI capabilities to measurable business outcomes.\nStrong problem solver who can navigate complex technical and business challenges.\nHands-on technical leader who can architect solutions and contribute to implementation.\nCollaborative communicator who can work effectively with engineers, data scientists, business leaders, and executives.\nInnovation mindset with a practical approach to evaluating and adopting emerging AI technologies.\nMentor and team builder who develops technical talent and promotes engineering excellence.\nBusiness focused with an understanding of scalability, ROI, risk, security, and operational impact.\nWhy This Role?\nThis is an opportunity to help shape the next generation of enterprise AI solutions within one of Canada's leading financial institutions.\nYou 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.\n[redacted]\n 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.\nThis 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.\nAbout NTT DATA\nNTT 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.\nWhenever 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.\n\nNTT DATA endeavors to make https://us.nttdata.comaccessible 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. 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