Solutions Architect AI/Virtual Assistant Solutions at Parsippany, NJ-- Contract

Job Title: Solutions Architect AI/Virtual Assistant Solutions

Location: Parsippany, NJ

Work Eco System: Hybrid 3 Days Onsite + 2 Days Remote

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 (Google Cloud Platform, 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.