Overview We are seeking a highly skilled Presales Solutions Architect with deep experience applying AI/ML in the Financial Services Industry (FSI) to support our sales organization in designing, positioning, and shaping nextgeneration cloud and data solutions for banking, insurance, wealth, and capital markets clients. This role blends advanced technical architecture expertise with industryspecific knowledge of financial regulation, risk, and operational resiliency. As a cloudagnostic and AIdriven technical advisor, you will help FSI organizations modernize legacy systems, responsibly adopt AI/ML, strengthen risk and fraud capabilities, and accelerate cloud transformation across regulated environments. Primary Location: Toronto, ON Work Model: Hybrid 3-Days Onsite Employment Type: Permanent Full-Time Vacancy Status: New Compensation Range: $200,000 - $300,000 RESPONSIBILITIES - Partner with Financial Services sales executives to understand client priorities around digital transformation, AI adoption, regulatory compliance, operating efficiency, and risk mitigation - Conduct discovery sessions focused on identifying opportunities for AI/MLenabled use cases, including fraud detection, risk scoring, underwriting optimization, client segmentation, conversational AI, and predictive analytics - Develop and deliver compelling presentations, demos, and technical workshops showcasing how cloudbased AI/ML solutions can unlock business value while meeting regulatory and security obligations - Develop highlevel architectures for cloud, data, AI/ML, and application modernization initiatives tailored to FSI workloads such as: - Realtime fraud and anomaly detection - Credit risk and stress testing models - AntiMoney Laundering (AML) and KYC analytics - Customer 360 and personalization engines - Claims automation and actuarial modeling - Recommend secure, compliant, scalable architectures aligned with FSI regulatory frameworks (OSFI, PCIDSS, SOC 2, GDPR, etc.) including data residency, encryption, model governance, and responsible AI practices - Provide technical guidance on machine learning pipelines, data lakehouse architectures, vector databases, model deployment patterns, and cloudnative AI services (Azure ML, Amazon SageMaker, Vertex AI) - Estimate solution complexity, infrastructure sizing, model training needs, and cost implications for AI/ML workloads - Support RFPs/RFIs with data and AIspecific solution designs, usecase mappings, and technical narratives targeted for banking and insurance buyers - Collaborate with practices and delivery teams to validate feasibility of proposed AI/ML solutions, including data readiness, lineage, model observability, and operationalization - Develop reusable assets such as AI/ML demo environments, FSIspecific reference architectures, model governance frameworks, and accelerator kits - Stay current with AI regulatory developments (Responsible AI, model risk management, AI governance), cloud platform updates, and emerging trends in financial AI adoption - Serve as a thought leader for clients and internal teams on modern data architecture, applied machine learning, and responsible AI in the financial sector QUALIFICATIONS, SKILLS & EXPERIENCE - 5+ years in a technical role such as Solutions Architect, AI/ML Architect, Cloud Architect, or Sales Engineer, ideally supporting Financial Services clients - Handson experience designing and advising on AI/ML solutionsincluding feature engineering, model training, MLOps pipelines, data engineering, and operationalization within regulated industries - Strong understanding of cloudagnostic architecture principles across Azure, AWS, or GCP, with specific experience implementing AI/ML capabilities using cloudnative services - Experience designing AIenabled financial solutions such as: - Fraud & risk prediction models - AML/KYC analytics - Personalized recommendation engines - Insurance pricing and underwriting models - Financial forecasting and anomaly detection - Deep understanding of data governance, model governance (MRM), responsible AI, and regulatory considerations in FSI - Strong communication and storytelling skills with the ability to translate complex AI/ML concepts into meaningful business outcomes for executive stakeholders NICE TO HAVE - Azure, AWS, or GCP AI/ML certifications (Azure AI Engineer, AWS Machine Learning Specialty, GCP ML Engineer) - Experience with vector databases, LLMs, RetrievalAugmented Generation (RAG), and generative AI in financial usecases - Background in data science or analytics engineering - Familiarity with presales methodologies (MEDDIC, Challenger) and experience building AI/ML demos or POCs ABOUT ADASTRA Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligenceresponsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement. Trusted by some of the worlds most prominent brands, Adastra delivers endtoend solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journeybuilding futureready capabilities and delivering measurable, lasting impact. Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia. WHAT WE OFFER - Opportunity for advancement and career progression - Competitive compensation package - Comprehensive benefits plan - Successful referral program - The opportunity to work with one of Canadas 50 Best Managed Companies - Satisfaction of working for a reputable company - A flexible, dynamic, and diverse workplace EQUAL OPPORTUNITY EMPLOYER In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporations implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance. AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions. There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from @adastragrp.com or @talent.icims.com are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent. Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers. #J-18808-Ljbffr
Job Title
Presales Solutions Architect