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Stellar Consulting Solutions, LLC

Solutions Architect – AI/Virtual Assistant Solutions

Stellar Consulting Solutions, LLC, Parsippany, New Jersey, United States

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Solutions Architect – AI/Virtual Assistant Solutions Stellar Consulting Solutions, LLC provided pay range

This range is provided by Stellar Consulting Solutions, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $75.00/hr - $80.00/hr

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Job Title:

Solutions Architect – AI/Virtual Assistant Solutions

Location:

Parsippany, NJ

Job Overview:

We are seeking a highly skilled and visionary Solutions Architect – AI/Virtual Assistant Solutions to lead the architecture and design of intelligent, conversational experiences across our digital ecosystem. This role is pivotal in shaping scalable, secure, and human‑centric AI solutions, including virtual assistants, chatbots, and voice‑enabled services across web, mobile, and emerging platforms. As digital customer interactions increasingly leverage AI for personalization and automation, this architect will ensure a unified and high‑performing architecture that integrates seamlessly with backend systems, NLP/NLU engines, and omnichannel delivery frameworks.

Responsibilities

Architect and Design AI‑Powered Solutions: Lead the end‑to‑end technical architecture for virtual assistants, voice/chat interfaces, and AI‑driven support experiences.

Collaborate Cross‑Functionally: Work closely with product managers, data scientists, UX teams, and backend engineers to design intelligent conversational workflows and decision logic.

Platform Strategy: Define standards and patterns for AI components such as NLP, NLU, intent recognition, dialog management, and integration with large language models (LLMs).

Scalability & Security: Ensure solutions are scalable, secure, and compliant with data privacy regulations, particularly around customer data and conversational logs.

Vendor & Tool Evaluation: Evaluate and integrate third‑party AI platforms (e.g., Google Dialogflow, Microsoft Bot Framework, Amazon Lex, OpenAI APIs) and in‑house AI services.

Performance Optimization: Define KPIs and monitoring for assistant performance, including latency, intent accuracy, deflection rate, and CSAT impact.

Innovation Leadership: Stay ahead of emerging trends in generative AI, conversational UX, and multi‑modal interfaces. Provide recommendations for future enhancements.

Minimum Qualifications

Experience: 8+ years in software or digital architecture, with at least 3 years focused on AI, virtual assistants, or conversational systems.

Deep understanding of NLP/NLU frameworks and conversational AI platforms.

Familiarity with integrating LLMs and generative AI tools (e.g., OpenAI, Anthropic).

Strong proficiency in microservices architecture, APIs, cloud‑native platforms (GCP, Azure).

Experience with event‑driven systems and real‑time messaging protocols (e.g., WebSocket’s, Kafka).

Comfortable with languages such as Python, Node.js, or Java.

Preferred Qualifications

Experience designing AI solutions for customer service, e‑commerce, or logistics platforms.

Familiarity with voice assistants and multimodal interfaces.

Experience with UX design for conversational flows or chatbot UX tools.

Knowledge of Responsible AI principles and ethical AI deployment practices.

Seniority Level Mid‑Senior level

Employment Type Contract

Job Function Information Technology

Industries Transportation, Logistics, Supply Chain and Storage

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