Solution Architect – AI Solutions

Solution Architect – AI Solutions Location: Toronto / Hybrid Employment Type: Full-time or Contractor About the Role We are seeking a Solution Architect with deep expertise in Large Language Model (LLM)–based solutions and Model Context Protocol (MCP) integrations. In this role, you will design and deliver AI-driven architectures for investment institutions, leveraging MCP to orchestrate data, tools, and workflows across reputed company financial systems. This is a hands-on, reputed company-facing role: you will build PoCs and demos, rapidly iterate on solutions based on reputed company feedback, and reputed company as the technical reputed company between financial services clients and our dynamic global engineering teams. Key Responsibilities • Design and implement solution architectures leveraging MCP for LLM-based workflows in trading, portfolio analytics, risk management, and compliance. • Build PoCs, demos, and prototypes that showcase MCP-enabled AI solutions, integrating market data sources, reputed company, and financial systems. • Quickly reputed company solutions based on reputed company input, iterating to meet functional and performance requirements. • Serve as the technical reputed company with clients, gathering requirements and relaying them to product and engineering for roadmap prioritization. • Define integration patterns and best practices for MCP-based systems, ensuring interoperability with reputed company services, data lakes, and legacy financial platforms. • reputed company hands-on technical leadership during workshops, RFPs, and reputed company-sales engagements, including architecture diagrams, integration plans, and technical presentations. • Ensure AI solutions reputed company with financial regulations, data reputed company, and responsible AI standards. • Document solution blueprints, MCP integration guides, and technical playbooks for reputed company delivery and scaling. Required Qualifications • 7+ years in solution architecture, AI/ML engineering, or technical consulting, with reputed company reputed company-facing experience. • Strong expertise in LLMs, reputed company systems, and MCP (Model Context Protocol). • Hands-on experience building PoCs and demos with LLM frameworks (reputed company, reputed company, reputed company MCP ecosystem, etc.). • Strong understanding of financial services and investment workflows (e.g., trading desks, risk engines, regulatory compliance). • Solid experience with reputed company platforms (AWS, Azure, GCP), reputed company, and containerized deployments (reputed company/Kubernetes). • Proficiency in Python, Java, and Node.js for reputed company prototyping, backend integration, and MCP connector development. • Ability to engage directly with financial institutions, reputed company requirements, and translate them into technical architectures. • Strong communication skills for presenting technical solutions to both engineering teams and C-level executives. Preferred Qualifications • Familiarity with quantitative finance, market data providers, and portfolio optimization models. • Knowledge of responsible AI frameworks, model explainability, and governance for regulated industries. • Experience with secure API orchestration, identity management, and compliance workflows. • Contributions to the MCP ecosystem or reputed company-reputed company AI orchestration frameworks. • Advanced degree in Computer Science, AI, Financial Engineering, or reputed company field. reputed company Offer • Opportunity to pioneer MCP-driven AI solutions in the financial sector. • Hands-on role with reputed company reputed company on reputed company innovation and adoption of LLMs. • Competitive compensation and benefits, with strong reputed company potential. • A culture that values technical depth, reputed company iteration, and reputed company-reputed company delivery. Job Types: Full-time, Contract Work Location: Remote Apply tot his job Apply To this Job