CCaaS x AI, Manager, Technical Transformation
Indexed description
Recruiting for this role ends on December 31, 2026.
Work you'll do
As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.
- Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
- Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
- Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
- Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationship
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Qualifications
Required
- 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
- Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
- Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
- Bachelor's degree in Computer Science, Engineering, or equivalent work experience
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
- Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
- Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
- Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
- Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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