AI Engineer - REMOTE USA

Senior AI Implementation Engineer

Location: Remote USA

Full-Time

Why We’re Different

Acliviti doesn’t just advise clients - we co-create their vision, align internal teams, and help them stay ahead of what’s next. We are a vendor-neutral consultancy that helps enterprise organizations define strategy, lead execution, and provide ongoing support - all while aligning stakeholders and delivering outcomes that matter.

We Are

• Experts in customer experience delivering operational and technical transformation
• Strategic partners who stay engaged before, during, and after implementation to ensure objectives are achieved
• Boardroom translators - connecting CX vision, technical platforms, and financial value
• Outcome-driven professionals who know 95% of spend is on human capital, not just tech
• Remote-first and cross-functional, with deep expertise across industries

Our Clients Are

• Enterprise organizations modernizing their customer engagement ecosystem
• CX, IT, Operations, and Finance leaders seeking true stakeholder alignment
• Teams navigating complex transformation programs with high visibility and high stakes
• Businesses who need business cases, vendor guidance, and enterprise-class execution
• Companies looking to optimize revenue & cost models, reduce friction, and drive customer growth

How We Solve

We lead clients through a continuous improvement cycle with three integrated service areas:

Strategy: We help clients define where they’re going - and how to get there.

• Customer Experience Design
• Performance Optimization
• Transformation Capabilities

Execution: We lead execution across people, platforms, and processes.

• Technical Platform & Capabilities
• Operational Management
• Data & Analytics

Managed Solutions & Support: We stay engaged post-launch to ensure long-term success.

• Operational & Technical Oversight
• Outcome & Expense Management
• Artificial Intelligence & Data Segmentation

Role Overview

We are seeking a Senior AI Implementation Engineer to build and deploy AI-powered customer experience solutions for enterprise clients.

This is a hands-on engineering role focused on development, configuration, integration, testing, and deployment of conversational AI and automation solutions.

You will take business and technical requirements and turn them into production-ready solutions using platforms such as Cognigy, and other conversational AI technologies. You will work with LLMs, AI agents, APIs, enterprise applications, and cloud technologies to build solutions that are reliable, scalable, and deliver measurable customer outcomes.

You will work closely with Project Managers, Architects, Engineers, and clients throughout the implementation lifecycle, from development through UAT, go-live, and optimization.

Our Sr. AI Implementation Engineer Will

Conversational AI Development & Implementation

• Build, configure, and deploy conversational AI solutions across voice and digital channels.
• Develop conversational flows, bot logic, intents, entities, business rules, prompts, and AI agent workflows.
• Configure and integrate LLM-powered capabilities within conversational AI platforms.
• Implement AI agents and agentic workflows to automate customer interactions and business processes.
• Configure knowledge retrieval and RAG capabilities where appropriate.
• Implement AI guardrails, fallback logic, validation, error handling, and escalation paths.
• Develop and optimize conversational experiences based on testing, performance, and customer feedback.
• Translate business requirements and functional designs into working, production-ready solutions.
• Configure context management, session variables, and data handling throughout conversational interactions.

CCaaS & Telephony Integration

• Integrate conversational AI platforms with enterprise contact center solutions such as NICE CXone, Genesys Cloud, and similar CCaaS platforms.
• Configure and troubleshoot voice integrations, call routing, transfers, and escalation to live agents.
• Implement and support telephony integrations using SIP, APIs, webhooks, or platform-native connectors.
• Configure AI-to-agent handoffs, including transferring conversation context, collected data, and customer information.
• Work with IVR, ACD, skills, queues, and routing configurations to support AI-driven customer experiences.
• Troubleshoot issues across conversational AI platforms, telephony infrastructure, and contact center integrations.
• Collaborate with CCaaS engineers and architects to ensure AI solutions align with existing contact center environments.

Software Development & Enterprise Integration

• Develop conversational logic, integrations, API orchestration, and data transformations.
• Build and consume REST APIs.
• Work with JSON, webhooks, and event-driven integrations.
• Integrate AI solutions with CRM, ERP, databases, knowledge bases, and other enterprise applications.
• Configure and troubleshoot authentication methods, including OAuth, API keys, and tokens.
• Develop and troubleshoot JavaScript-based logic and custom integrations.
• Utilize Python or TypeScript where appropriate for platform-specific development.
• Use Git/GitHub and established development practices for version control and collaboration.
• Troubleshoot technical issues across applications, integrations, and AI platforms.

Testing, Deployment & Production Support

• Develop and execute test cases for conversational AI and integrated solutions.
• Perform functional, integration, regression, and performance testing.
• Validate AI responses, conversational flows, business logic, integrations, and system behavior.
• Test conversational experiences across voice and digital channels, including error handling and escalation scenarios.
• Troubleshoot defects, analyze logs, and identify root causes.
• Support client UAT and resolve issues through producti