This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
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.
What You'll Do:
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.
What You'll Need:
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.
Our Director-Technology jobs earn between $188,100.00 - $316,000.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and 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
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia, Bothell, Washington, Middletown, New Jersey, USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St
Salary Range:
$188,100.00 - $316,000.00
