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iLink Digital

IT Architect & Technical Presales - AI

iLink Digital, Dallas, Texas, United States, 75215

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Overview Join to apply for the IT Architect & Technical Presales - AI role at iLink Digital.

About the Company 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 in a broad range of 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 etc.

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

Requirements 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.

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 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.

Benefits

Competitive salaries

Medical, Dental, Vision Insurance

Disability, Life & AD&D Insurance

401K With Generous Company Match

Paid Vacation and Personal Leave

Pre-Paid Commute Options

Employee Referral Bonuses

Performance Based Bonuses

Flexible Work Options & Fun Culture

Continuing Education Reimbursements

In-House Technology Training

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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