AI Solution Engineer
Spectraforce
Toronto, Ontario
4 days ago
Job Description
Position Title: AI Solution Engineer
Line of Business: Wealth Management – AI Center of Excellence
Length of Contract: 11 months with possible extension/conversion
Location: Toronto, ON
About the Role
• Seeking an innovative and technically skilled AI Solution Engineer to join our Wealth Management AI Center of Excellence.
• In this pivotal role, you will design, prototype, and deliver intelligent solutions—leveraging GenAI, LLMs, and agent-based technologies—to transform advisor workflows, client engagement, and operational efficiency.
Key Responsibilities
• Opportunity Identification: Collaborate with business teams to identify high-impact use cases for GenAI and agent-based systems that enhance client experience, advisor productivity, and operational efficiency.
• Solution Design: Architect and prototype intelligent solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen).
• Agent Development & Integration: Build and integrate autonomous agents for multi-step tasks such as financial planning, client onboarding, and investment analysis, connecting with CRM, portfolio, and data platforms.
• Technical Implementation: Deploy and maintain GenAI-powered applications, ensuring performance, security, and compliance with financial regulations.
• Stakeholder Collaboration: Work closely with product managers, compliance, and wealth advisors to ensure solutions align with business goals and regulatory standards.
• Documentation & Enablement: Develop technical documentation, demos, and training materials to support adoption and scaling of GenAI capabilities across the organization.
• Post-launch Support: Monitor usage data and logs, troubleshoot integration or model-performance issues, and coordinate escalations with engineering and support teams.
• Continuous Improvement: Stay up to date with the latest advancements in AI, LLMs, and agentic frameworks; relay customer insights to product and engineering teams to influence the roadmap.
• Compliance & Responsible AI: Implement guardrails, monitoring, and feedback loops to ensure reliable, safe, and compliant agent behavior; contribute to Responsible AI practices and documentation.
• Mentorship & Enablement: Run workshops, training sessions, and co-creation labs to build AI literacy and enable teams to experiment responsibly.
Must Have Skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in AI/ML solution design and delivery, preferably in financial services or a regulated industry.
• Hands-on experience with LLMs (Large Language Models), agent frameworks, and AI orchestration tools (e.g., LangChain, AutoGen, Hugging Face).
• Strong systems design and solution architecture skills.
• Familiarity with cloud platforms (Azure, AWS, GCP), MLOps, and secure application deployment.
• Proficiency in Python and/or JavaScript; experience with REST APIs and integration patterns.
• Experience with version control (e.g., GitHub) and CI/CD pipelines.
• Understanding of AI evaluation metrics, interpretability, ethical AI, and compliance.
• Excellent cross-functional collaboration and communication skills; ability to translate business needs into technical solutions for both technical and non-technical stakeholders.
• Knowledge of financial services, wealth management, or regulatory environments is an asset.
• Experience with Agile delivery and rapid prototyping methodologies.
• Growth and enablement mindset: passionate about teaching, upskilling teams, and building a culture of responsible AI adoption.
Nice-to-Have Skills
• Experience with frontend frameworks (React, Angular, Vue) for building user-facing AI tools.
• Familiarity with authentication protocols (OAuth, SAML, JWT, TLS).
• Experience with data visualization tools (Tableau, Power BI, matplotlib).
• Exposure to prompt engineering and fine-tuning LLMs.
• Experience with containerization (Docker, Kubernetes) and cloud-native deployment.
• Prior work involving SaaS platform integrations or enterprise system integration.
• Previous Banking experience
Interviews
• 45 minute panel interview - virtual
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 77.00/hr.
Line of Business: Wealth Management – AI Center of Excellence
Length of Contract: 11 months with possible extension/conversion
Location: Toronto, ON
About the Role
• Seeking an innovative and technically skilled AI Solution Engineer to join our Wealth Management AI Center of Excellence.
• In this pivotal role, you will design, prototype, and deliver intelligent solutions—leveraging GenAI, LLMs, and agent-based technologies—to transform advisor workflows, client engagement, and operational efficiency.
Key Responsibilities
• Opportunity Identification: Collaborate with business teams to identify high-impact use cases for GenAI and agent-based systems that enhance client experience, advisor productivity, and operational efficiency.
• Solution Design: Architect and prototype intelligent solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen).
• Agent Development & Integration: Build and integrate autonomous agents for multi-step tasks such as financial planning, client onboarding, and investment analysis, connecting with CRM, portfolio, and data platforms.
• Technical Implementation: Deploy and maintain GenAI-powered applications, ensuring performance, security, and compliance with financial regulations.
• Stakeholder Collaboration: Work closely with product managers, compliance, and wealth advisors to ensure solutions align with business goals and regulatory standards.
• Documentation & Enablement: Develop technical documentation, demos, and training materials to support adoption and scaling of GenAI capabilities across the organization.
• Post-launch Support: Monitor usage data and logs, troubleshoot integration or model-performance issues, and coordinate escalations with engineering and support teams.
• Continuous Improvement: Stay up to date with the latest advancements in AI, LLMs, and agentic frameworks; relay customer insights to product and engineering teams to influence the roadmap.
• Compliance & Responsible AI: Implement guardrails, monitoring, and feedback loops to ensure reliable, safe, and compliant agent behavior; contribute to Responsible AI practices and documentation.
• Mentorship & Enablement: Run workshops, training sessions, and co-creation labs to build AI literacy and enable teams to experiment responsibly.
Must Have Skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in AI/ML solution design and delivery, preferably in financial services or a regulated industry.
• Hands-on experience with LLMs (Large Language Models), agent frameworks, and AI orchestration tools (e.g., LangChain, AutoGen, Hugging Face).
• Strong systems design and solution architecture skills.
• Familiarity with cloud platforms (Azure, AWS, GCP), MLOps, and secure application deployment.
• Proficiency in Python and/or JavaScript; experience with REST APIs and integration patterns.
• Experience with version control (e.g., GitHub) and CI/CD pipelines.
• Understanding of AI evaluation metrics, interpretability, ethical AI, and compliance.
• Excellent cross-functional collaboration and communication skills; ability to translate business needs into technical solutions for both technical and non-technical stakeholders.
• Knowledge of financial services, wealth management, or regulatory environments is an asset.
• Experience with Agile delivery and rapid prototyping methodologies.
• Growth and enablement mindset: passionate about teaching, upskilling teams, and building a culture of responsible AI adoption.
Nice-to-Have Skills
• Experience with frontend frameworks (React, Angular, Vue) for building user-facing AI tools.
• Familiarity with authentication protocols (OAuth, SAML, JWT, TLS).
• Experience with data visualization tools (Tableau, Power BI, matplotlib).
• Exposure to prompt engineering and fine-tuning LLMs.
• Experience with containerization (Docker, Kubernetes) and cloud-native deployment.
• Prior work involving SaaS platform integrations or enterprise system integration.
• Previous Banking experience
Interviews
• 45 minute panel interview - virtual
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 77.00/hr.