IT Architect & Technical Presales - AI - Ilink Digital : Job Details

Dallas, United States | Posted on 06/10/2025

iLink is a Global Software Solution Provider and Systems Integrator, delivering next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value, and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP), and independent software vendors (ISV). iLink solutions are used across various industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink's expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, Collaboration & Social Employee Engagement, Embedded Systems, and User Experience design.

What makes iLink Systems' offerings unique is the use of pre-created frameworks, designed to accelerate software development and implementation of business processes for clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet current business challenges.

We are seeking an experienced AI Architect to lead the development, implementation, and strategic alignment of AI-driven solutions across enterprise systems. The ideal candidate will possess strong expertise in AI technologies, machine learning, data science, and automation, with a deep understanding of cloud-based architectures, governance, and technical presales.

Key Responsibilities:

• AI Architecture & Strategy: Define and drive AI architecture and technical presales aligned with customer requirements and business objectives.
• Enterprise AI Integration: Implement AI solutions across ERP, CRM, HR, Supply Chain, integrating Microsoft automation tools like Power Automate and Power Apps.
• Model Development & Optimization: Design, develop, and implement AI models and algorithms, ensuring scalability, efficiency, and accuracy.
• Data Engineering & AI Infrastructure: Build scalable AI infrastructure capable of managing large datasets and optimizing AI pipelines.
• POC & Innovation Projects: Collaborate with offshore teams to drive proofs-of-concept (POC) and innovation projects, performing hands-on work.
• Cloud & AI Platforms: Utilize Azure AI, OpenAI, and other AI tools to develop secure, cost-effective solutions.
• Governance & Compliance: Lead AI governance, risk management, and regulatory compliance, ensuring responsible AI adoption.
• Stakeholder Collaboration: Work with business leaders, executives, and customers to identify, prioritize, and deliver high-impact AI use cases.
• Technology Leadership: Stay ahead of AI trends, conducting research and implementing cutting-edge machine learning techniques.
• MLOps & AI Experimentation: Apply MLOps frameworks, experimentation techniques, and cloud-native AI platforms to enhance AI effectiveness.
• Executive Reporting & Strategy: Present roadmaps, impact summaries, and AI strategies to senior leadership, supporting decision-making processes.

Required Skills & Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Experience: 8-13 years in AI, digital transformation, enterprise tech leadership, or data engineering.
• Technical Expertise: Proficiency in Gen AI Tech, Advanced RAG, Vector-based AI, Machine Learning, and Deep Learning.
• Programming & AI Frameworks: Strong skills in Python, R, Java, and experience with TensorFlow, PyTorch, Keras.
• Cloud & Automation: Hands-on experience with Microsoft automation tools, Power Automate, Power Platform, and Azure AI.
• AI Governance & Risk: Strong background in AI risk management, responsible AI, compliance, and data privacy regulations.
• Business & Leadership Skills: Ability to align technical initiatives with business impact, lead enterprise AI discussions, and drive adoption.
• Communication & Strategy: Strong leadership, analytical, and strategic thinking abilities with excellent communication skills.