Director of Technology, Agentic AI Delivery

Position Overview

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, some to include: 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

• 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.
• 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.
• 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.
• 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.

Qualifications

• 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.
• 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.
• 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

• Annual salary range: $188,100.00 - $316,000.00 USD. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is 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

• Weekly Hours: 40
• Time Type: Regular