Technical Lead, Agentic AI Platforms (PL856)

Posted 2 Days Ago
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Bogotá, Distrito Capital, COL
Hybrid
Senior level
Information Technology • Software • Consulting • Automation
The Role
Lead technical direction for agentic AI platforms across AWS/Azure: design architectures, establish standards and governance, ensure secure scalable cloud-native integrations, guide engineering teams, and operationalize AI solutions within a regulated enterprise.
Summary Generated by Built In

Our client, a leading Canadian banking institution, is seeking a Technical Lead, Agentic AI Platforms to help shape and scale the next generation of AI-enabled solutions across the enterprise.

This role will lead the technical direction of agentic AI initiatives, with a primary focus on solutions built on AWS and/or Azure. Working closely with business, technology, operations, and delivery teams, the successful candidate will drive architecture decisions, establish technical standards, and ensure AI solutions are secure, scalable, and production-ready.

This is a hands-on leadership opportunity for someone with strong expertise in cloud architecture, AI-enabled system design, enterprise integration, and technical delivery. The ideal candidate will be comfortable translating business challenges into practical technical solutions while guiding teams through implementation.

Key Responsibilities
  • Lead the design and architecture of agentic AI solutions, including orchestration patterns, reasoning workflows, tool integrations, and human-in-the-loop controls.

  • Define architecture standards and engineering best practices for AI-enabled applications built on AWS and/or Azure.

  • Guide cloud-native solution design, including security, identity management, integrations, data access, and deployment practices.

  • Provide technical leadership to engineering teams and implementation partners throughout the delivery lifecycle.

  • Collaborate with business, product, technology, and operations stakeholders to identify and prioritize AI use cases.

  • Establish governance frameworks, technical guardrails, monitoring standards, and operational best practices for AI workloads.

  • Support the development of scalable, resilient, and reusable AI platforms and solutions.

  • Act as a trusted advisor on the practical application of agentic AI within a regulated enterprise environment.

  • Significant experience in a Technical Lead, Solution Architect, or Engineering Leadership role within large enterprise environments.

  • Strong experience designing, building, and deploying solutions on AWS and/or Azure.

  • Hands-on experience with AI, GenAI, Agentic AI, intelligent automation, or related technologies.

  • Strong understanding of enterprise architecture, APIs, integrations, authentication, security, and cloud-native design principles.

  • Experience leading technical teams and driving successful delivery across complex initiatives.

  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

  • Strong problem-solving abilities and technical judgment.

  • Ability to quickly learn new business domains and translate business requirements into scalable technical solutions.

Preferred Qualifications
  • Experience within banking, financial services, or other highly regulated industries.

  • Exposure to lending, servicing, workflow management, or operational process environments.

  • Experience with workflow orchestration, automation platforms, or AI-enabled operational solutions.

  • Experience establishing architecture standards, governance frameworks, and engineering best practices.

  • Familiarity with observability, incident management, production support, and platform operations.

  • Experience working with external vendors, implementation partners, and cross-functional enterprise teams.

Core Skills
  • Technical Leadership

  • Agentic AI / Generative AI

  • AWS and/or Azure Architecture

  • Enterprise Integration

  • Solution Architecture

  • Technical Delivery Leadership

  • Governance & Controls

  • Stakeholder Management

  • Communication & Influence

Work Model: Hybrid (2 days/week downtown Toronto)

Skills Required

  • Lead design and architecture of agentic AI solutions, including orchestration patterns, reasoning workflows, tool integrations, and human-in-the-loop controls
  • Define architecture standards and engineering best practices for AI-enabled applications built on AWS and/or Azure
  • Guide cloud-native solution design including security, identity management, integrations, data access, and deployment practices
  • Provide technical leadership to engineering teams and implementation partners throughout the delivery lifecycle
  • Collaborate with business, product, technology, and operations stakeholders to identify and prioritize AI use cases
  • Establish governance frameworks, technical guardrails, monitoring standards, and operational best practices for AI workloads
  • Support development of scalable, resilient, and reusable AI platforms and solutions
  • Act as a trusted advisor on the practical application of agentic AI within a regulated enterprise environment
  • Significant experience in a Technical Lead, Solution Architect, or Engineering Leadership role within large enterprise environments
  • Strong experience designing, building, and deploying solutions on AWS and/or Azure
  • Hands-on experience with AI, Generative AI, Agentic AI, or intelligent automation
  • Strong understanding of enterprise architecture, APIs, integrations, authentication, security, and cloud-native design principles
  • Experience leading technical teams and driving successful delivery across complex initiatives
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders
  • Ability to quickly learn new business domains and translate business requirements into scalable technical solutions
  • Experience within banking, financial services, or other highly regulated industries
  • Exposure to lending, servicing, workflow management, or operational process environments
  • Experience with workflow orchestration, automation platforms, or AI-enabled operational solutions
  • Experience establishing architecture standards, governance frameworks, and engineering best practices
  • Familiarity with observability, incident management, production support, and platform operations
  • Experience working with external vendors, implementation partners, and cross-functional enterprise teams
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The Company
0 Employees
Year Founded: 2003

What We Do

Paralucent is a technology and marketing agency founded in 2003, based in Toronto, Canada. They specialize in delivering custom software applications, intelligent tools, and digital transformation services to help organizations simplify complex business processes. Their work spans financial services, telecommunications, and the public sector, focusing on driving measurable outcomes through technology and creative strategy.

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