3 часа назад
AWS Engagement Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AWS Engagement Manager (AI): Owning delivery relationships and guiding AWS, Amazon Connect, and AI-enabled customer engagements with an accent on solution architecture, pre-sales advisory, and executive stakeholder leadership. Focus on shaping end-to-end architectures, leading distributed teams, managing delivery health and commercial scope, and driving agentic transformation strategies.
Location: Remote in Canada; Alberta, British Columbia, or Ontario only. Travel of up to 25% is required for customer projects and company events.
Company
, part of Accenture, delivers AI, AWS, Salesforce, Amazon Connect, and Agentforce solutions for business transformation and customer experience.
What you will do
- Own customer relationships and delivery health across a portfolio of AWS and Amazon Connect engagements.
- Direct project teams, manage escalations, and ensure quality, security, compliance, and customer satisfaction.
- Partner with Sales on discovery, scoping, estimation, account growth, and customer transitions from sales to delivery.
- Guide solution strategy, technical direction, staffing, governance, and end-to-end project delivery.
- Advise customers on AI-enabled and agentic transformation, value realization, adoption strategies, and emerging capabilities.
- Drive internal innovation in delivery methods, reusable assets, and AI-enabled delivery practices.
Requirements
- 10+ years of consulting experience combining solution architecture, pre-sales advisory, and client-facing leadership.
- 5+ years leading complex engagements or workstreams involving teams of 15+ people.
- 5+ years architecting, selling, and delivering AWS solutions, including knowledge of platform capabilities, tradeoffs, and implementation options.
- Deep expertise in contact center or AWS-based solution design, including Amazon Connect or integrated CCaaS ecosystems.
- Experience with discovery, solution mapping, scoping, estimation, SOWs, change orders, and executive presentations.
- Strong understanding of SDLC, program governance, distributed team leadership, architecture, integrations, data models, QA strategy, and go-live readiness.
Nice to have
- Experience guiding customers through end-to-end agentic transformation journeys.
- Knowledge of emerging AI platforms, frameworks, agentic use cases, and adoption strategies.
- Experience translating complex AI capabilities into business-aligned recommendations and industry thought leadership.
Culture & Benefits
- Remote and in-person work options are supported across the broader organization.
- Flexible scheduling focused on outcomes rather than fixed working hours.
- Collaborative environment with opportunities to share feedback directly with executive leadership.
- Company meetings, town halls, and team events support connection and collaboration.
- Travel opportunities are included for roles with customer-facing responsibilities.
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