Job Description -

Job Title: Solutions Architect AI/Virtual Assistant Solutions

Visa: Open, but candidates must be local to NJ & NY

Client: UPS

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What the Client Said

They re not looking for a generic AI engineer.
They want a true AI Solutions Architect.
The focus is on chat/virtual assistant systems, visual/multimodal interfaces, LLMs, and NLP/NLU.
The candidate must be very strong in architecture not just building models or coding, but designing the end-to-end AI ecosystem.

Summary

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.

Key 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.

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experience: 8+ years in software or digital architecture, with at least 3 years focused on AI, virtual assistants, or conversational systems.
Technical Skills:
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., WebSockets, Kafka).
Comfortable with languages such as Python, Node.js, or Java.
Soft Skills:
Excellent communication and stakeholder management skills.
Strong problem-solving and strategic thinking capabilities.
Proven ability to lead cross-functional teams in a matrixed environment.

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.

Mandatory Skills

AI & Conversational Architecture: 1. Experience architecting virtual assistants, chatbots, or conversational AI systems. 2. Deep understanding of NLP/NLU concepts and technologies (e.g., intent recognition, entity extraction). 3. Familiarity with LLMs and generative AI (e.g., OpenAI, Azure OpenAI, Claude, Gemini). Technical Architecture & Development: 1. Strong background in enterprise architecture, APIs, and microservices. 2. Proficiency in backend development (e.g., Python, Node.js, Java). 3. Experience with real-time messaging protocols (e.g., WebSockets, Kafka, Pub/Sub). Cloud & Integration: 1. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform). 2. Integration with third-party AI platforms (e.g., Google Dialogflow, Microsoft Bot Framework, Amazon Lex). 3. API gateway and orchestration knowledge (e.g., Apigee, Kong, AWS API Gateway). Security & Scalability: 1. Knowledge of authentication/authorization standards (OAuth2, JWT). 2. Experience designing scalable and secure AI architectures. Collaboration & Communication: 1. Ability to lead cross-functional teams and communicate effectively with technical and non-technical stakeholders.

Desired Skills

Platform Knowledge: 1. Experience with IBM WatsonX suite of products is a plus. UX & Design: 1. Understanding of conversational UX design principles. 2. Experience working with chatbot/voicebot design tools (e.g., Voiceflow, Botmock, Rasa X). Voice & Multimodal Interfaces: 1. Experience integrating voice assistants (e.g., Alexa, Google Assistant). 2. Familiarity with multimodal interfaces (voice + visual). Analytics & Optimization: 1. Experience with chatbot/assistant analytics (e.g., accuracy, CSAT, containment rate). 2. Familiarity with A/B testing and feedback loops for model improvement. AI Governance: 1. Understanding of Responsible AI, ethical AI deployment, and privacy considerations (e.g., GDPR, HIPAA). Domain Knowledge: 1. Experience in logistics, e-commerce, or customer service platforms is a plus.

AI Solutions Architect

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