Agentic AI Forward Deployment Engineering Lead in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Agentic AI Forward Deployment Engineering Lead based in Canada.

This is a strategic and highly visible role at the intersection of AI, solution architecture, enterprise delivery, and customer transformation. You will lead the deployment of advanced Agentic AI solutions, helping organizations translate complex business requirements into scalable, production-ready automation workflows. Working directly with enterprise stakeholders, you will guide projects from discovery and solution design through implementation, go-live, and continuous optimization. The role combines technical leadership, customer advisory responsibilities, and hands-on problem-solving to ensure successful AI adoption and measurable business impact. You will collaborate across product, engineering, quality assurance, integration, and customer success teams while influencing long-term deployment strategies. This opportunity is ideal for professionals who thrive in fast-paced environments, enjoy working with cutting-edge AI technologies, and excel at driving large-scale enterprise transformations.

• Lead discovery workshops and stakeholder sessions to understand business processes, operational challenges, customer journeys, and automation opportunities.
• Design scalable Agentic AI architectures, workflows, governance frameworks, escalation paths, and implementation strategies aligned with customer objectives.
• Own the end-to-end deployment lifecycle, ensuring projects progress successfully from kickoff through production launch and post-deployment optimization.
• Serve as the primary technical delivery lead, coordinating activities across engineering, product, integration, QA, customer success, and customer teams.
• Define integration strategies connecting enterprise systems, APIs, CRM platforms, customer service tools, and third-party applications.
• Review solution designs, security requirements, authentication models, operational readiness plans, and technical feasibility assessments.
• Establish quality standards, acceptance criteria, testing methodologies, and deployment best practices to ensure successful outcomes.
• Act as a trusted advisor to technical and executive stakeholders, providing guidance on AI adoption, governance, automation strategy, and ROI.
• Develop reusable implementation frameworks, deployment playbooks, and solution templates to improve delivery efficiency and consistency.
• Capture lessons learned and collaborate with internal teams to drive continuous platform and process improvements.

• 6–12 years of experience in Solution Architecture, Enterprise Delivery, Professional Services, Technical Program Management, Implementation Consulting, or related fields.
• Proven success leading complex enterprise software deployments and large-scale customer implementations.
• Strong ability to gather business requirements and translate them into scalable technical architectures and deployment plans.
• Deep understanding of APIs, enterprise integrations, distributed systems, data flows, and system architecture principles.
• Experience managing cross-functional teams across engineering, product, quality assurance, integration, and customer-facing functions.
• Excellent communication, stakeholder management, facilitation, and executive presentation skills.
• Strong project leadership, analytical thinking, and problem-solving capabilities with a focus on execution excellence.
• Ability to navigate ambiguity and manage multiple high-priority initiatives simultaneously.
• Experience with AI-powered solutions, workflow automation, customer experience platforms, or enterprise transformation projects is highly desirable.
• Familiarity with Agentic AI, Large Language Models (LLMs), conversational AI, prompt engineering, workflow orchestration, or autonomous systems is a strong advantage.

• Competitive compensation package with opportunities for career progression and leadership growth.
• Fully remote and flexible work environment designed to support work-life balance.
• Opportunity to work on cutting-edge AI technologies and enterprise-scale transformation initiatives.
• Exposure to complex, high-impact projects across multiple industries and global organizations.
• Collaborative culture that values innovation, ownership, and continuous learning.
• Professional development opportunities through hands-on experience with emerging AI and automation technologies.
• Significant influence on product evolution, deployment methodologies, and customer success strategies.
• Dynamic and fast-growing environment with direct visibility into strategic business initiatives.