AI Engineer - REMOTE USA

Acliviti Consulting Group, LLC; Chicago (IL); Remote; USD 140,000 - 190,000; Full time

Job summary

Acliviti Consulting Group, LLC is seeking a Senior AI Implementation Engineer to build and deploy AI-powered CX solutions for enterprise clients. This hands-on role focuses on development, configuration, integration, testing, and deployment of conversational AI and automation.

You will translate business and technical requirements into production-ready solutions using Cognigy and related platforms, work with LLMs, APIs, and cloud technologies, and collaborate with project managers, architects,

Qualifications

• 5+ years of experience in software engineering, technical implementation, or professional services.
• Hands-on experience implementing conversational AI, virtual agents, chatbots, or AI-powered applications.
• Experience with conversational AI platforms and enterprise integrations.
• Strong problem-solving, debugging, and production deployment skills.
• Excellent communication and client-facing collaboration abilities.

Responsibilities

• Develop and deploy conversational AI solutions across voice and digital channels.
• Configure and integrate AI agents, flows, intents, entities, and business rules.
• Integrate with CRM, ERP, and enterprise systems via REST APIs and webhooks.
• Collaborate with project managers, architects, and clients through implementation lifecycle.
• Perform testing, UAT support, go-live, and post-production optimization.

Skills

Software engineering

Implementation

Enterprise integrations

Client-facing

LLMs

Python

TypeScript

Education

Bachelor's degree in Computer Science or related field

Tools

Cognigy

PolyAI

Google CCAI

AWS

Azure

GCP

REST APIs

JSON

Job description

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.

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.

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.

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 production readiness.

Support deployments, go-live activities, and post-production stabilization.

Monitor solution performance and implement improvements based on production behavior and customer feedback.

Create and maintain technical documentation, integration details, configuration documentation, and support runbooks.

Work directly with clients, architects, project managers, and internal technical teams to understand implementation requirements.

Participate in technical discovery sessions, solution reviews, and implementation discussions.

Identify technical dependencies, risks, and integration requirements early in the project lifecycle.

Communicate technical issues, troubleshooting findings, and recommendations clearly.

Provide technical support for demos, prototypes, and proof-of-concepts.

Take ownership of assigned implementation activities and deliverables.

Contribute to reusable components, implementation templates, development standards, and best practices.

Stay current on conversational AI technologies, agentic AI capabilities, and CCaaS platform advancements.

Our Ideal Candidate Will Have

5+ years of experience in software engineering, technical implementation, enterprise integrations, or professional services.

Hands-on experience implementing conversational AI, virtual agents, chatbots, voicebots, or AI-powered applications.

Experience with conversational AI platforms such as Cognigy, PolyAI, Google CCAI, Amazon Lex, or similar technologies.

Experience integrating enterprise applications using REST APIs, webhooks, and authentication mechanisms.

Experience with LLMs, prompt engineering, and AI-powered conversational workflows.

Experience integrating solutions with enterprise contact center or telephony environments.

Understanding of contact center concepts such as IVR, ACD, call routing, skills, queues, and agent transfers.

Experience with technical troubleshooting, testing, debugging, and production deployments.

Ability to independently investigate and resolve technical issues across multiple platforms.

Strong communication, problem-solving, and client-facing collaboration skills.

Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Preferred Qualifications

Hands-on implementation experience with Cognigy, PolyAI, or similar platforms.

Experience integrating conversational AI with NICE CXone, Genesys Cloud, or similar CCaaS platforms.

Experience with SIP-based voice integrations and telephony troubleshooting.

Experience with RAG, knowledge retrieval, and enterprise knowledge integrations.

Experience implementing agentic AI workflows and tool-based automation.

Experience with Salesforce, ServiceNow, or similar enterprise platforms.

Experience with Python or TypeScript.

Experience with AWS, Azure, or GCP.

Experience with Git/GitHub, CI/CD practices, and development lifecycle management.

Experience delivering solutions within a consulting or professional services environment.

You Will Love Our Culture If You Are

An ambitious intrapreneur who loves building new things

Someone who loves technology, process, numbers, and the space in between — figuring out the right balance of features, functionality, business value, and affordability for each client

Curious about emerging technology and genuinely interested in how AI will change customer experience and the way businesses operate

Comfortable communicating through a variety of mediums with many different audiences and objectives

Great at anticipating and solving problems individually, internally, and for our clients

An organized self-starter who is always eager to learn something new

Comfortable adapting to new situations and solving new problems with the pace and occasional ambiguity that occurs in high-growth businesses

A positive force who enjoys working closely with new people and exploring new ideas

Driven by seeing your work have a direct impact