Senior AI Solutions Architect

Talentify; Town of Charlotte (NY); On-site; CAD 150,000 - 210,000; Full time

Job summary

Bank of America in Canada seeks a senior AI/Software leader to design and deploy AI applications across multiple domains, owning end-to-end delivery from planning to production rollout.

Responsibilities include coordinating data collection, employing LLMs, RAG pipelines, and evolving AI technologies, while ensuring observability and governance. Strong communication and stakeholder management are essential.

Qualifications

• 10+ years of experience in software engineering and system design.
• Proven experience delivering large-scale enterprise applications and AI solutions.
• Hands-on experience with RESTful APIs and distributed systems.
• Experience with microservices and event-driven architectures.
• LLM-based applications and prompt engineering.
• AI governance, risk, and explainability (preferred in regulated industries).
• Strong problem-solving and analytical thinking.
• Excellent communication and stakeholder management.
• Ability to operate in a fast-paced, ambiguous environment.
• Experience with financial services or regulated industries.

Responsibilities

• Lead design, development, and deployment of AI applications across multiple domains.
• Own delivery accountability across planning, execution, testing, and production rollout.
• Design and implement AI-powered solutions (LLMs, RAG, agents, ML pipelines).
• Evaluate and adopt emerging AI technologies and ensure system observability.
• Coordinate data collection, trend analysis, and data-driven insights.
• Oversee technical documentation and production implementation.
• Lead end-to-end delivery of AI and non-AI software across projects.

Skills

Strong problem-solving

Analytical thinking

Communication skills

Stakeholder management

Presentation skills

Tools

Java

Python

Microservices

REST APIs

Event-driven architecture

Cloud platforms

Job description

Bank of America in Canada seeks a senior AI/Software leader to design and deploy AI applications across multiple domains, owning end-to-end delivery from planning to production rollout.

Responsibilities include coordinating data collection, employing LLMs, RAG pipelines, and evolving AI technologies, while ensuring observability and governance. Strong communication and stakeholder management are essential.