Senior AI Architect

3 weeks ago

Canada Seargin Full time

The Opportunity:

As an AI & GenAI Solution Architect, you will play a key role in shaping the technology vision and strategy for AI and GenAI initiatives within the organization. This includes defining the technology roadmap and ensuring alignment with business goals and IT strategy. You will drive the identification of emerging AI trends and assess their impact, while guiding strategic planning to create a technology and information roadmap that connects both business and IT strategies. Your work will support current and future business capabilities, ensuring AI solutions are optimized for scalability, performance, and security.

Key Responsibilities:

  • Technology Vision & Strategy : Define and align AI and GenAI technology roadmaps with business objectives and IT strategy, identifying emerging trends and assessing their potential impact on the organization.
  • Enterprise AI Architecture : Establish architectural principles, guidelines, and best practices for AI and GenAI solutions, focusing on cloud-based components. Design end-to-end solutions, ensuring adherence to architecture principles, scalability, and performance.
  • Stakeholder Collaboration : Collaborate with business leaders, product managers, and technology teams to identify AI-driven opportunities, define high-value use cases, and promote the reuse of AI platforms across the enterprise.
  • Cross-functional Leadership : Work with enterprise and solution architects, data teams, and engineering leads to integrate AI capabilities into existing and new systems, ensuring effective collaboration across teams.
  • AI Governance & Ethics : Develop and enforce AI governance frameworks, ensuring responsible adoption of AI while addressing compliance, bias mitigation, and ethical considerations.
  • Technology Evaluation & Prototyping : Assess, recommend, and experiment with AI/ML tools, frameworks, and platforms to accelerate AI adoption. Lead the design, engineering, and reuse of applications and patterns, driving innovation and faster time-to-market.
  • Scalability, Quality & Performance : Ensure that AI solutions are architected for enterprise-scale deployment, balancing cost, performance, security, and operational efficiency. Design components to include built-in observability and support continuous product quality improvement.
  • Coaching & Thought Leadership : Mentor teams on AI/GenAI best practices, contribute to industry forums, and represent the organization's AI strategy in key discussions.

Qualifications:

  • Expert-level experience architecting AWS and Azure-based cloud solutions.
  • Strong understanding of AI, GenAI, LLMs, MLOps, vector databases, and Advanced Analytics.
  • Experience with agentic AI and agent orchestration.
  • Expertise in managing AI at scale, optimizing cost through token management, model selection, and compute resources.
  • Proven experience in developing Architecture Roadmaps for product portfolios in collaboration with Enterprise Architecture teams.
  • In-depth knowledge of AI governance, model lifecycle management, and security.
  • Hands-on experience with AI solution development, including data pipelines, model training, fine-tuning, and integration into enterprise applications.
  • Familiarity with cloud-native architectures and distributed AI model deployment.
  • Ability to effectively communicate AI concepts to both technical and non-technical stakeholders.
  • A proven track record of leading AI transformation initiatives in large enterprises.

If you have a passion for innovation and a strong background in AI architecture and governance, this role offers the opportunity to influence and drive AI transformation at scale within a dynamic, forward-thinking organization.

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