Director of Program Delivery - Evergreen AI

Evergreen; Dunwoody (GA); On-site; USD 150,000 - 200,000; Full time

Job summary

A cutting-edge AI solutions provider located in Dunwoody, Georgia is seeking a Director of Delivery. This role requires leadership in developing enterprise-grade AI solutions and frameworks, with a strong focus on client engagement and operational excellence. The ideal candidate will possess over 12 years of experience in software engineering and proven leadership in delivering AI for Fortune 500 clients. Key responsibilities include driving technical strategy, fostering a collaborative culture, and ensuring compliance with industry standards.

Qualifications

• 12+ years in software engineering, with 5+ years leading multi-team engineering organizations.
• Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
• Expertise in agentic AI systems and orchestration frameworks.

Responsibilities

• Lead the development and delivery of enterprise-grade AI solutions.
• Engage directly with executive stakeholders and communicate technical concepts.
• Drive production readiness and operational excellence for multi-region deployments.

Skills

Software engineering

Technical architecture

AI systems expertise

Leadership

Stakeholder management

Tools

Azure

Kubernetes

LangChain

MLflow

Prometheus

Job description

As Director of Delivery, you will lead the development, and delivery of enterprise-grade agentic AI solutions and frameworks for Evergreen.AI. This role requires a proven leader who can scale engineering teams, define technical strategy, and ensure operational excellence for production systems-not just PoCs and pilots. You will leverage your experience in technical architecture, global delivery leadership, and AI enablement to build secure, resilient, and compliant solutions for Fortune 500 clients.

In addition, you will serve as a highly client-facing leader, engaging directly with executive stakeholders to understand business needs, communicate technical concepts clearly, and build trusted advisory relationships. You will foster a collaborative, solution-oriented culture, demonstrating strong communication skills and a growth mindset to drive innovation and continuous improvement across teams.

Engineering Leadership

Build and lead high-performing engineering teams across regions; establish career frameworks, mentorship programs, and succession planning.

Platform & Framework Ownership

Define Evergreen.AI’s agentic AI architecture, including multi-agent orchestration, LLM knowledge management, and enterprise integration patterns.

Delivery Excellence

Drive production readiness-runbooks, observability, SLAs, and resiliency patterns for multi-region deployments.

Technical Strategy

Partner with Product and Architecture to align roadmaps with business outcomes; evaluate emerging technologies for scalability and compliance.

Operational Governance

Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards.

Client Engagement

Support executive briefings, architecture reviews, and technical pre-sales; act as a trusted advisor for enterprise AI adoption.

Innovation & Enablement

Champion responsible AI principles; contribute to reusable accelerators, reference architectures, and delivery templates.

Team Collaboration & Communication

Foster a culture of teamwork and open communication, supporting and empowering colleagues across engineering, data science, product, and business functions. Build consensus, resolve conflicts constructively, and celebrate team achievements.

Solution Orientation

Approach challenges with creativity and resilience, focusing on outcomes and continuous improvement. Proactively identify obstacles, develop actionable plans, and drive execution to deliver measurable business value for clients and the organization.

Growth Mindset

Embrace learning, innovation, and personal development. Stay current with emerging technologies, encourage experimentation, and foster an environment where feedback is welcomed and used for improvement.

Qualifications

• 12+ years in software engineering, with 5+ years leading multi-team engineering organizations delivering enterprise-grade AI solutions.
• Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
• Expertise in agentic AI systems, orchestration frameworks (LangChain, Semantic Kernel), and LLMOps/MLOps platforms (MLflow, Kubeflow, Azure ML).
• Strong knowledge of data and knowledge management for LLMs, including retrieval pipelines and vector databases (Pinecone, Weaviate, Milvus).
• Hands-on experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and event-driven architectures (Kafka/Event Hub).
• Familiarity with observability tools (Prometheus, Grafana, ELK) and resiliency patterns (circuit breakers, chaos engineering).
• Exceptional leadership, communication, and stakeholder management skills.