Tech Stack
AWSAzureCloudGoogle Cloud PlatformGraphQLKafkaSDLCTerraform
About the role
- Define a 2–3‑year modernization plan aligning AI innovation with business KPIs (contact rate, AHT, conversion, NPS).
- Evaluate build‑vs‑buy and select best‑fit CCaaS, CPaaS, and AI platforms.
- Lead design and rollout of GenAI/Agentic AI solutions—conversational IVR, real‑time agent assist, predictive routing, auto‑QA, and workflow bots.
- Establish reusable micro‑services, event streaming, and API gateways to integrate SaaS and in‑house systems.
- Own scalable integration patterns (pub/sub, REST, GraphQL, webhooks, iPaaS) connecting dialers, CRMs, marketing automation, and data lakes.
- Ensure high availability, observability, and secure data flow across the stack.
- Guide staff engineers on architecture, code reviews, IaC, CI/CD, and SRE best practices; prototype complex AI workflows or debug production incidents as needed.
- Negotiate contracts, SLAs, and joint roadmaps with CCaaS, LLM, and analytics vendors; manage annual tech budget and balance cost with innovation.
- Translate business objectives into epics, stories, and technical designs with Product Owners; run quarterly planning with Call‑Center Ops and Marketing.
- Define telemetry, dashboards, and A/B experimentation frameworks to validate AI features and automate continuous improvement.
- Embed security, privacy, and TCPA/FCC compliance into architecture and SDLC.
Requirements
- 12+ years progressive software engineering & architecture experience, including 5+ years leading call‑center or customer‑engagement technology programs.
- Proven success delivering GenAI / Agentic AI capabilities (LLM‑based chat, voice bots, summarization, agent copilots) at scale.
- Deep knowledge of CCaaS ecosystems (Amazon Connect, Twilio Flex, Genesys, Five9), dialer logic, and omni‑channel routing.
- Mastery of modern integration architectures—micro‑services, event buses (Kafka/Kinesis), API gateways, webhooks, and iPaaS.
- Hands‑on expertise with at least one major cloud provider (AWS, Azure, or GCP) and IaC (Terraform/CDK).
- Strong data‑analytics mindset—able to design KPIs, interpret telemetry, and guide experiments to boost business outcomes.
- Demonstrated vendor‑management, budgeting, and contract‑negotiation skills.
- Exceptional communication and stakeholder‑management abilities; comfortable translating tech strategy to executives and frontline agents alike.
- Experience modernizing legacy dialers/workflows into cloud‑native, AI‑enabled platforms (preferred).
- Familiarity with marketing automation and lead‑management systems (Salesforce Marketing Cloud, Marketo, HubSpot) (preferred).
- Certifications preferred: AWS Solutions Architect, TOGAF, SAFe Agile, or AI/ML Specialty.
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (preferred).
- Must be legally authorized to work in the United States; willingness to submit to post‑offer, pre‑employment background check; applicants must indicate visa sponsorship needs in application.