IT Architect & Technical Presales - AI
Dallas, United States
iLink Digital
iLink Digital provides digital transformation services, consulting services and solutions to transform your business & to achieve digital goals. Visit us, today!
About
The Company:
What makes iLink
Systems' 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.
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
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI governance Architecture Azure Computer Science Data management Deep Learning Engineering Generative AI Java Keras Machine Learning ML infrastructure ML models MLOps OpenAI Pipelines Privacy Python PyTorch R RAG Research Responsible AI TensorFlow
Perks/benefits: 401(k) matching Career development Flex vacation Health care Insurance Medical leave Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.