Conversational AI Architect / Contact Center Consultant

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
75% Travel

Skills

Architect
Agentic
Conversational
Generative AI
GenerativeAI
NLP
NLU
Hybrid AI orchestration
AI PCs
smartphones
customer experience
CX
chatbots
voice
contact center automation
sales ops
predictive analytics
Salesforce Agentic AI
Google CCAI
CES
AI/ML
virtual agents
voice-enabled AI
Conversational AI
LLMs
RAG
CSAT
call duration
resolution rates

Job Details

Technical Architect Agentic, Conversational & Generative AI (Hybrid AI Focus)

Orlando, FL

Travel might Require up to 70%.

Industry: Technology, Consulting, Financial Services, or AI Solutions

About the Role

We are seeking a visionary Technical AI Architect to lead our Agentic, Conversational, and Generative AI initiatives, with a focus on Hybrid AI orchestration across edge devices (AI PCs, smartphones), cloud, and on-premises infrastructure. This role will drive the strategy, design, and implementation of cutting-edge AI solutions that transform customer experience (CX), operational efficiency, and business innovation.

The ideal candidate has a proven track record in scaling enterprise AI platforms, optimizing NLP/NLU systems, and delivering measurable business impact in regulated industries (e.g., banking, telecom, insurance etc.)

Key Responsibilities

AI Strategy & Leadership

- Define and execute the 12 24-month AI/GenAI roadmap, identifying high-impact use cases (e.g., contact center automation, sales ops, predictive analytics).

- Lead Hybrid AI architecture, optimizing workload distribution between edge devices, cloud, and servers for performance, cost, and latency.

- Serve as the technical authority for Agentic AI, Conversational AI (chatbots/voice), and Generative AI solutions.

Solution Design & Delivery

- Architect scalable NLP/NLU systems to improve intent recognition, reduce transfer rates, and enhance CSAT.

- Drive GenAI POCs** (e.g., explainable AI with SHAP values, price forecasting within 10% accuracy).

- Partner with engineering to deploy on-device LLMs, Salesforce Agentic AI, and Google CCAI/CES integrations.

Stakeholder Engagement

- Advise C-level executives on AI adoption, ROI, and risk mitigation in regulated industries.

- Collaborate with partners to co-develop Hybrid AI offerings.

- Evangelize AI innovation through whitepapers, conferences, and client workshops.

Qualifications

Required

- 10+ years in AI/ML, NLP, and enterprise architecture, with 5+ years in leadership roles.

- Deep expertise in:

- Conversational AI (chatbots, virtual agents, voice-enabled AI).

- Generative AI (LLMs, RAG, explainability tools like SHAP/LIME).

- Hybrid AI (orchestrating workloads across edge-cloud environments).

- Proven success in improving CX metrics (e.g., CSAT, call duration, resolution rates).

- Experience with Google CCAI/CES, Salesforce Einstein, and on-device AI frameworks.

- Strong background in regulated industries (financial services, healthcare, telecom).

Preferred

- Published thought leadership (e.g., articles, patents, conference talks).

- Experience with AI hardware acceleration (e.g., Intel AI PCs, GPUs).

- PhD/MS in Computer Science, AI, or related fields.

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