Director of Technology, Agentic AI Delivery

This position requires office presence of a minimum of 5 days per week and is only located in Atlanta, Georgia; Bothell, Washington; Middletown, New Jersey; or Dallas, Texas. No relocation is offered.

About the role

We are seeking a Director - Technology to lead and scale delivery teams building enterprise agentic AI solutions. This leader will own end-to-end execution for AI-native products and platforms, directly managing engineers across multiple disciplines, including LLM/Prompt-Context Engineering, Backend/Agent Engineering, and Integration Engineering. The ideal candidate combines hands-on technical depth in AI agent architectures, LLMs, and fullstack Python systems with proven experience leading high-performing engineering teams that deliver agentic solutions at scale. This role is responsible for translating strategic AI initiatives into shipped products that drive measurable business value.

Responsibilities

• Delivery Leadership and Team Management
  • Lead, grow, and manage a team of engineers delivering AI and Agentic solutions and products.
  • Own end-to-end delivery execution for agentic AI initiatives, from concept through production, ensuring quality, velocity, and operational readiness.
  • Set technical direction, engineering standards, and delivery cadences across all workstreams.
  • Build and scale durable in-house engineering teams, reducing reliance on contractor resources and improving knowledge retention.
  • Drive hiring, performance management, career development, and mentorship for direct reports.
• AI-Native Technical Leadership
  • Provide architectural oversight for LLM integration, prompt/context engineering, and multi-agent orchestration using frameworks such as LangGraph.
  • Guide teams on context management strategies including session memory, retrieval-augmented generation (RAG), vector search, and user personalization.
  • Ensure scalable, production-grade deployment of AI agents through robust backend services, APIs, and CI/CD pipelines.
  • Drive evaluation, testing, and continuous optimization of prompt effectiveness, agent workflows, and system reliability.
• Platform and DevOps Accountability
  • Drive DevOps strategy, CI/CD governance, and platform security across delivery workstreams.
  • Establish platform security hardening, vulnerability management, and compliance frameworks for AI-native services.
  • Ensure architectural consistency, integration standards, and operational excellence across all agentic solution delivery teams.
  • Own incident response, RCA, and continuous improvement for reliability, performance, and delivery velocity.
• Cross-Functional Execution
  • Partner with Product, Architecture, and Business stakeholders to translate requirements into delivered outcomes aligned to strategic priorities.
  • Drive cross-functional alignment on technical direction, trade-offs, roadmaps, and delivery status.
  • Coordinate with data science, ML engineering, and front-end teams to deliver end-to-end AI-powered applications.

Requirements

• Leadership Experience
  • 8+ years of progressive technology leadership, with 3+ years directly managing engineering teams delivering AI/ML or automation solutions.
  • Proven track record of leading AI-native delivery teams from concept through production at enterprise scale.
  • Experience managing resources across multiple engineering disciplines (backend, fullstack, AI/ML, DevOps).
  • Demonstrated ability to recruit, develop, and retain top engineering talent.
• Technical Depth (Hands-On Experience Required)
  • Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
  • Demonstrated expertise in prompt engineering and context engineering for LLMs (OpenAI, Anthropic, open-source models).
  • Hands-on experience architecting and deploying AI agents and multi-agent systems in production environments.
  • Proficiency with agent orchestration frameworks such as LangGraph.
  • Strong understanding of RAG architectures, vector databases, knowledge retrieval strategies, and session/context management.
  • Experience with cloud infrastructure (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.
  • Knowledge of RESTful API design, distributed systems, and scalable backend architectures.
• Delivery and Operational Excellence
  • Experience establishing engineering standards, DevOps practices, and release governance for AI-native platforms.
  • Track record of improving delivery predictability, reducing rework, and maintaining platform stability.
  • Experience with incident management, observability, and production support for AI/ML systems.

Pay

Individual starting salary within the range of $188,100 - $316,000 USD Annual may depend on geography, experience, expertise, and education/training.

Benefits

• Medical, dental, and vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid parental leave and caregiver leave
• Additional sick leave beyond what state and local law require (unprotected)
• Adoption reimbursement
• Disability benefits (short term and long term)
• Life and accidental death insurance
• Supplemental benefit programs: critical illness, accident, hospital indemnity, group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available), and AT&T phone
• Long-term grants and deferred compensation
• Paid time off and holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays)

Schedule

• Full-time (40 hours per week)
• Regular office hours