Lead development of an enterprise Agentic AI platform, cloud deployment frameworks, and autonomous workflows. Manage 35+ engineers and multiple technical leaders while overseeing architecture, delivery, hiring, budgets, customer implementations, cloud modernization, observability, security, compliance, AI governance, and technical proofs of concept. Collaborate with product, business, executive, and customer teams to align requirements and engineering outcomes across AWS, Azure, and Google Cloud.
Job Title: Director of Engineering
Duties:
- Architect and lead development of an enterprise-grade Agentic AI platform, focusing on scalable agent orchestration and autonomous workflows.
- Own end-to-end engineering delivery for product development, ensuring alignment between product requirements and technical implementation.
- Design and maintain deployment frameworks for cloud marketplaces (AWS, Azure, GCP) to support enterprise procurement and private offers.
- Manage and supervise a team of 35+ engineers across onsite and offshore locations, including setting objectives, assigning work, and evaluating performance.
- Oversee multiple engineering managers, technical leads, and individual contributors to ensure timely and quality delivery.
- Establish team structures, define roles and responsibilities, and implement performance tracking mechanisms.
- Conduct code reviews and provide architectural guidance to ensure adherence to coding standards, security practices, and system design principles.
- Lead integration with cloud platforms (AWS, Microsoft Azure, Google Cloud), including configuration and infrastructure alignment.
- Manage customer accounts from an engineering standpoint, including participating in technical discussions, addressing escalations, and ensuring successful product implementation.
- Collaborate with customers to gather requirements and translate business needs into product features and enhancements.
- Participate in customer meetings, solution discussions, and technical reviews to support delivery and adoption.
- Define and implement AI governance policies, including compliance, security, and ethical standards.
- Lead modernization of customer systems into cloud-based architectures.
- Manage hiring, onboarding, and training of engineering staff.
- Coordinate with product, business, and executive teams to align engineering deliverables with organizational goals.
- Implement monitoring and observability practices to maintain system availability and performance.
- Ensure compliance with applicable data security and privacy standards (e.g., GDPR, HIPAA, SOC 2).
- Apply Agile methodologies and development practices to maintain release schedules and delivery timelines.
- Lead technical proofs of concept (POCs) for customers.
- Manage engineering budgets, including cloud usage and vendor expenses.
- Support research and evaluation of new technologies, including large language models and AI frameworks.
Requirement: Applicants must have a Bachelor’s degree or foreign equivalent in Computer Science, Computer Applications, Information Technology, Engineering (any), or related fields, plus five years of experience in a related occupation. Travel/relocation required as jobs will be performed at various unanticipated locations throughout the United States.
Mail resume to HR, 4835 LBJ Freeway STE 540 Dallas, TX 75244
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