TTEC Digital

Solutions Engineer

• Act as the primary technical overlay for the solution architecture team, bringing deep GCP expertise to complex pursuits.
• Champion a culture of knowledge sharing by helping CCaaS-focused architects understand the broader Google ecosystem, while learning best practices in CX innovation from them.
• Architect and deploy custom applications and AI agents using Google Cloud native services, including Cloud Run, Cloud Armor, and Compute Engine.
• Serve as the Subject Matter Expert (SME) for quoting and pricing Google Cloud consumption, ensuring accuracy in complex cost modeling for clients.
• Collaborate with the Director of Solution Architecture to design and structure Managed Services offerings, helping sell ongoing support layers alongside professional services.
• Drive the integration of advanced capabilities, such as generative AI and predictive analytics, into TTEC Digital’s solution portfolio.
• Evolve and maintain a set of demo and POC environments to support rapid, robust, and bespoke demonstrations for clients, including enabling teams on how to deliver them.
• Collaborate with senior-level client executives to uncover business and technical needs, translating them into tailored, outcome-driven solutions.

Presales Solutions Architect – Google Cloud

AI Engineer

• Lead Agentic Strategy: Design and implement voice and digital AI Self-Service solutions for large contact centers using Gemini Enterprise CX and Agent Development Kit (ADK).
• Architect Autonomous Workflows: Design multi-agent orchestrations that leverage Reasoning and Acting (ReAct) frameworks to meet complex client needs.
• Technical Leadership: Serve as the lead architect for Google GECX, Gemini Enterprise and Agent Development Kit (ADK) projects, CI/CD, driving technical design and solution requirements. Translate high-level architecture into technical implementation designs.
• Integration & Tool Use: Develop seamless integrations between AI agents and backend systems using REST/SOAP APIs, ensuring agents can perform real-time data retrieval and execution. Build and implement using: Gemini AI, Cloud Run/GKE, Cloud Functions, API Gateway, Pub/Sub, Dataflow and IAM.
• Advanced Conversation Design: Collaborate with teams to move from rigid decision trees to fluid, LLM-driven conversation specifications.
• Testing & Optimization: Lead unit, system, and functional testing of agentic code, focusing on prompt engineering and hallucination mitigation.

Agentic AI Architect – Google Gemini Enterprise CX

Data Analyst

• Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
• Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
• Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
• Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
• Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
• Create solutions and design documentation for client data science architectures and ML pipelines.
• Work on projects independently as well as being part of a large team across multiple client engagements.
• Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
• Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
• Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.

Senior Consultant – Data Science, Analytics and Insights

Consultant

• Design, develop, and customize Microsoft Dynamics 365 applications across Sales, Customer Service, and Marketing modules.
• Develop sophisticated Canvas Apps with a focus on usability, responsiveness, and performance optimization.
• Build Model-driven Apps and automate business processes using Power Automate.
• Develop reusable Power Platform Component Framework (PCF) controls.
• Implement complex business logic using Power Fx and Dataverse.
• Configure and integrate Microsoft Omnichannel for Customer Service (CCaaS), including routing rules, workstreams, queues, and agent experiences.
• Develop custom plugins, workflows, business rules, and JavaScript customizations within Dynamics 365.
• Design, develop, and integrate REST/SOAP APIs and web services with external enterprise applications.
• Participate in the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and production support.
• Troubleshoot and resolve production issues while ensuring application stability and performance.
• Conduct code reviews and ensure adherence to coding standards and best practices.
• Prepare technical documentation, deployment guides, and solution design documents.
• Estimate development effort and contribute to sprint planning and project execution.
• Track assigned work items, proactively identify risks, and communicate project status to stakeholders.
• Stay current with Microsoft's latest Dynamics 365, Power Platform, and Omnichannel capabilities.

Senior Consultant – Microsoft

Cloud Engineer

• Daily meetings with the internal team
• Weekly meetings with clients and TTEC Digital client account managers
• Requirements analysis and design conversations for new enhancements
• Working on issues in Jira - building systems, creating CloudFormation/Serverless templates
• Learning best practices in NodeJS, JavaScript/TypeScript, and Python communities
• Working with mentor/team lead to enhance knowledge of AWS Services
• Learning new methods and sharing knowledge with team members
• Be ready to learn quickly!

AWS Principal Software Engineer, Typescript, Node.js

• Responsible for the overall development, testing and delivery of the NICE CXone software platform.
• Implement the NICE CXone software.
• Engage in design and development of our products and features.
• Conduct unit testing and code reviews.
• Resolve defects encountered during the QA cycle.
• Support the production environment and assist other developers in a team environment utilizing agile or waterfall development processes.

Senior Consultant, NICE CXone

LLM Engineer

• Design, deploy, and optimize next-generation, customer-facing agentic workflows.
• Work on a unified platform bridging digital discovery and customer operations.
• Use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications.
• Implement Code Agents leveraging programmatic SDKs.
• Write custom Python/TypeScript tool callbacks.
• Utilize localized CLI workflows to structure, lint, test, and sync complex agent hierarchies.

Conversational AI Engineer

Full-stack Engineer

• As this group's Principal Software Engineer, you will be the "right-hand" of the engineering leader and part of the org's leadership team.
• You will be the organization's problem solver. Not an architecture title you hide behind — a coder who jumps into whichever squad is stuck, ships the hard thing, and moves on.
• You will jointly own the Platform Architect responsibilities for C1 Platform Foundation. This is a fast-moving train in a startup environment: the tech we build on changes monthly, the plan changes with it, and you thrive on that.
• Show-me mentality — your influence comes from the code you ship, demoed on Fridays like everyone else.
• The hardest problems in any squad · platform architecture decisions (event bus, plugin lifecycle, multi-tenancy, RBAC, schema registry) jointly with the engineering leader
• Pattern-setting reference implementations
• Training up the engineers around you — you raise the whole team's level · unblocking, by writing code, not memos.

Principal Software Engineer

• Lead developer role, three specialization tracks. We build voice, desktop, intelligence, and AI combined into a single real-time platform — event-driven, high-throughput, low-latency.
• A tech lead here is a player-coach — you write the hardest code in the squad, and you lead it.
• You'll build Go services on the event bus, AI/ML services and pipelines, or connector frameworks to CCaaS/CRM/telephony — most engineers here end up touching more than one.
• This is a startup environment on a fast train: 1-week sprints, Friday demos, fail fast and move forward.
• Services on the event bus (NATS-class) · high-throughput transactional data models and WebSocket backends
• Your track's slice — AI/ML pipelines (RAG, streaming inference, eval) or connectors (CCaaS/CTI, CRM, SIP/RTP) or core platform services
• Your latency budget · your committed timelines.

Engineering Tech Lead

Software Engineer

• Run the engineering org day-to-day
• Own delivery across all squads
• Handle the hiring pipeline
• Translate business requirements into technical scope
• Manage cross-squad dependencies and the engineering operating rhythm
• Drive timely escalations for blocked work

Director of Engineering

Account Executive

• Responsible for generating business revenue by acquiring new clients and expanding the business within existing clients selling Microsoft solutions focused on digital contact centers.
• Leveraging our relationship as an award-winning Microsoft partner to serve clients of all sizes looking at solutions relating to Microsoft Cloud.
• Acts as a trusted advisor to clients, developing new revenue opportunities, creating value-added opportunities, and cultivating mutually beneficial partnerships.
• Demonstrates resourcefulness and top-notch prospecting skills to identify clients and generate new revenue.
• Capable of presenting SOWs, ROMs, and capability presentations to prospects/clients and Microsoft.
• Maximizes the total value of solutions sold across the entire Microsoft cloud platform.
• Develops strong relationships with Microsoft Sales representatives to create joint target account strategies.

Enterprise Sales Executive – Digital

• Support pipeline development and revenue growth in partnership with AWS
• Identify, engage, and qualify new opportunities across targeted accounts and industries
• Work closely with AWS Field Sellers and TTEC Digital sales leadership
• Build and execute coordinated prospecting campaigns
• Generate qualified opportunities aligned to joint go-to-market priorities
• Execute multi-channel prospecting campaigns including email, phone, and social outreach
• Collaborate with internal teams to refine messaging
• Continuously refine prospect lists based on campaign performance