• Consult with clients to understand business problems and propose AI-driven solutions using LLMs, AI Agents, and automation systems.
• Design end-to-end solution architecture, ensuring scalability, performance, and maintainability.
• Lead and mentor technical teams; provide guidance on system design, coding standards, and best practices.
• Collaborate closely with PMs, BAs, and engineers to ensure successful project delivery.
• Present, demo, and explain AI solutions to both technical and non-technical stakeholders.
• Drive innovation by adopting an AI-first approach in solution design and delivery.
• Ensure solution quality, security, and alignment with client expectations.

You will act as a bridge between Business – Technology – AI, helping clients:

• Identify business problems
• Design AI-driven solutions (AI Agents, LLM, automation)
• Define practical AI adoption roadmaps

This role goes beyond traditional BA — you will act as a Solution Advisor during the presales phase.

• Work with clients (Leads, Managers, C-level) to understand pain points and business goals
• Analyze current processes (As-Is) and propose AI-enabled solutions (To-Be)
• Design AI use cases (AI Agents, Copilots, Automation)
• Prepare proposals, demos, and POCs
• Collaborate with Sales to consult and close deals
• Handover requirements to Tech/Delivery teams

• Conduct keyword research; create content outlines and write comprehensive SEO blog posts (WordPress).

• Edit and optimize existing content to improve SEO performance.

• Create basic visuals (thumbnails, banners, simple infographics) for website and social media based on existing brand guidelines.

• Create social media content and simple designs for LinkedIn, Facebook and X (Twitter).

• Support email marketing activities and company events when required.

• Support other tasks assigned by the manager.

Products in Scope:

• AIQuinta – Agentic Enterprise Platform

• DxFACTORY – Manufacturing Management System

• Contact and manage leads: make calls, send messages/emails to the company’s existing leads; qualify needs, interest level, and categorize leads based on the team’s process.

• Introduce products/services (AgentIQ, DxFACTORY, and other software solutions) following the provided sales script.

• Schedule and coordinate meetings between customers and the Sales Manager or Technical Team; follow up, send reminders, and ensure customer attendance.

• Update customer information into the CRM system; format and standardize data according to company guidelines; report daily/weekly contact results to the Sales Manager.

• Plan and execute email marketing campaigns to remarket and re-engage customers; track performance metrics and collaborate with Marketing to optimize campaigns.

• Support Sales–Admin tasks: draft contract templates, send quotations, prepare documents and files; coordinate with Sales/Marketing teams to optimize the customer contact process.

• Design end-to-end UX/UI for large-scale B2B and enterprise systems with multiple user roles, permissions, and complex workflows.

• Create user flows, screen flows, wireframes, and UI for data-heavy interfaces including dashboards, tables, charts, analytics, and configuration screens.

• Actively participate in and often lead discovery phases; identify problems, define UX opportunities, and propose solutions without relying heavily on PMs or BAs.

• Present design concepts, flows, and solutions to clients; gather feedback, identify gaps, and iterate designs with clear reasoning.

• Clearly explain design decisions, including design process, trade-offs, and alignment with business and user needs.

• Collaborate closely with Developers and Business Analysts to validate feasibility, align during implementation, and ensure design intent is preserved.

• Work directly with clients to understand workflows, pain points, and operational constraints.

• Build, maintain, and extend design systems; ensure consistency and scalability across a long-lived product.

• Take ownership of assigned features or modules end-to-end; proactively identify UX issues and improvement opportunities.

• Manage personal tasks, priorities, and timelines effectively in a long-term product environment.

• Issue VAT invoices and manage, organize, and archive accounting documents; verify incoming and outgoing invoices in compliance with regulations.

• Monitor accounts receivable and accounts payable; follow up and conduct periodic reconciliation with partners.

• Track, summarize, and reconcile internal expenses (office operations, business expenses, utilities, supplies, etc.).

• Handle procurement of goods, equipment, and services to support company operations.

• Prepare and complete payment request documents, reimbursement forms, and related supporting documents in accordance with internal policies.

♦ Product Vision & Strategy

• Define and drive the vision, strategy, and roadmap for the company’s AgentIQ AI Platform – including conversational AI, virtual assistants, and automation agents.

• Collaborate with stakeholders (Executive team, AI division, Sales, Marketing, and Customers) to align product direction with business goals and market needs.

• Research and analyze AI, LLM (Large Language Model), and workflow automation trends to identify opportunities for innovation.

• Ensure product strategy aligns with the company’s AI-first and digital transformation direction.

♦ Backlog & Agile Management

• Build, prioritize, and manage the Product Backlog to maximize customer and business value.

• Define clear User Stories, Acceptance Criteria, and Epics focusing on agent behavior, integration, and data interaction.

• Collaborate closely with AI Engineers, Data Scientists, Developers, UX/UI Designers, and QA to ensure successful delivery of high-quality features.

• Participate actively in Agile ceremonies (Sprint Planning, Grooming, Review, Retrospective) to guide development and maintain alignment with the product visio

♦ Stakeholder Management & Communication

• Act as the main point of contact for all product-related communication between technical teams and business stakeholders.

• Communicate product vision, priorities, and roadmap clearly across departments.

• Collect user feedback and analyze data to translate insights into actionable improvements for future releases.

♦ Product Performance & Continuous Improvement

• Define and track key performance indicators (KPIs) such as agent accuracy, engagement rate, customer satisfaction, and retention.

• Partner with the Data and AI teams to analyze user interactions and conversational flows for optimization.

• Drive data-driven decision-making to improve user experience, performance, and scalability of the AI Agent platform.

• Lead the design and development of enterprise-grade AI Agent systems.
• Define and drive technical architecture and strategy aligned with business goals and product requirements.
• Design scalable architectures using microservices, cloud-native, and distributed systems.
• Evaluate and adopt emerging technologies (AI/ML, LLMs, cloud) to improve system performance and scalability.
• Participate in the full SDLC: requirement analysis, design, development, testing, and deployment.
• Ensure code quality through coding standards, code reviews, and best practices.
• Apply modern engineering practices: TDD, CI/CD, DevOps.
• Lead and mentor team members, providing technical guidance and problem-solving support.
• Collaborate with cross-functional teams (Dev, BA, QA/QC, Product) to ensure project quality and progress.
• Design and implement High Availability (HA), backup, and disaster recovery solutions.
• Optimize system performance, scalability, security, and cost efficiency.
• Drive adoption of AI-first development practices (AI coding, automation, productivity tools).
• Design and implement AI-powered systems (LLM apps, RAG pipelines, AI agents).
• Continuously research and apply new technologies, especially in AI/LLM ecosystem.

• Lead a team of AI Engineers in designing, developing, and deploying ML/AI models in production.

• Provide technical direction and mentorship on model architecture, data processing, and optimization.

• Research and evaluate cutting-edge AI technologies, frameworks, and methodologies.

• Collaborate with cross-functional teams (Product, Data, Engineering) to integrate AI into real-world applications.

• Drive the development of scalable, maintainable, and efficient AI systems.

• Ensure best practices in model versioning, reproducibility, and monitoring in production.

• Communicate project status, technical challenges, and recommendations to stakeholders.