About the role
Job Title: AI Solution Engineer
Location: Toronto, ON (Hybrid 4 days in office)
Duration: 11 months
Contract Type: T4 only
Pay Rate: $78.47/Hour
About The Role
- We are 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.
Required 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
About Intelliswift Software
Intelliswift an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
Learn more at www.intelliswift.com
About the role
Job Title: AI Solution Engineer
Location: Toronto, ON (Hybrid 4 days in office)
Duration: 11 months
Contract Type: T4 only
Pay Rate: $78.47/Hour
About The Role
- We are 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.
Required 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
About Intelliswift Software
Intelliswift an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
Learn more at www.intelliswift.com