AI Technical Lead

at Zealogics Inc

Job description

Role Overview

We are seeking a seasoned AI Technical Leadย with a strong Full Stack development backgroundย and over 15ย years of experienceย in architecting scalable enterprise applications. This role demands a visionary leader who can drive AI integration across platforms, manage customer relationships, mentor teams, and ensure technical excellence throughout the development lifecycle.

Key Responsibilities

๐Ÿงฑ Architecture & Development

  • Design and architect scalable, secure, and high-performance AI-driven applications.
  • Lead end-to-end solutioning across front-end, back-end, cloud, and data layers.
  • Evaluate and integrate AI/ML models using platforms like Azure OpenAI, Cognitive Services, etc.
  • Ensure alignment with enterprise architecture standards and compliance frameworks.

๐Ÿ‘ฅ Team Leadership & Mentorship

  • Lead cross-functional development teams, fostering a culture of innovation and accountability.
  • Provide technical guidance, code reviews, and best practices to ensure quality delivery.
  • Onboard, train, and mentor new joiners to accelerate their integration and productivity.

๐Ÿค Customer & Stakeholder Engagement

  • Collaborate with clients to understand business needs and translate them into technical solutions.
  • Present architectural proposals, demos, and roadmaps to internal and external stakeholders.
  • Act as a trusted advisor, ensuring customer satisfaction and long-term engagement.

๐Ÿ“ˆ Strategic Contribution

  • Contribute to product strategy, roadmap planning, and technology evaluations.
  • Identify automation opportunities and drive process improvements using AI.
  • Stay abreast of emerging technologies and recommend adoption strategies.

Required Skills & Qualifications

  • 15+ years of experience in software development, with deep expertise in Full Stack technologies (e.g., .NET, React/Angular, Node.js, Python).
  • Proven experience in architecting enterprise-grade applications and AI integrations.
  • Hands-on experience with cloud platforms (Azure preferred), microservices, and containerization.
  • Strong understanding of AI/ML concepts, APIs, and deployment strategies.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience in mentoring teams and driving technical excellence.
  • Familiarity with compliance standards (e.g., PCI DSS, FedRAMP) is a plus.

Preferred Attributes

  • Strategic thinker with a customer-centric mindset.
  • Passion for innovation and continuous learning.
  • Ability to balance technical depth with business acumen.
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