- Company Name
- Synack
- Job Title
- Director, Software Engineering, AI
- Job Description
-
Job Title: Director, Software Engineering, AI
Role Summary: Lead the design, development, and delivery of AI‑powered products, setting technical strategy, ensuring scalability, security, and ethical compliance, while managing multiple engineering teams and aligning initiatives with business objectives.
Expectations:
- Deliver production‑grade AI solutions at enterprise scale.
- Manage a technical organization of multiple teams and supervisors.
- Define and enforce robust SDLC processes that accommodate rapid AI innovation.
- Embed ethical AI practices (privacy, bias mitigation, transparency).
- Communicate complex technical concepts to non‑technical stakeholders.
Key Responsibilities:
- Set technical direction for AI product features and capabilities.
- Guide engineering decisions for scalability, reliability, and security.
- Develop, refine, and enforce agile SDLC, CI/CD, and modern engineering practices.
- Prioritize feature backlog aligned with business goals and performance KPIs.
- Drive process improvements to mitigate technical risk and accelerate delivery.
- Integrate ethical AI considerations throughout design, training, and deployment.
- Champion a culture of collaboration, ownership, and engineering excellence.
- Serve as technical authority in customer engagements, translating needs into solutions.
- Collaborate with Product Management to outline vision, strategy, and roadmap for AI initiatives.
- Coordinate with cross‑functional teams to ensure seamless delivery.
Required Skills:
- 10+ years in software development, 5+ years in engineering leadership (managing managers).
- Deep expertise in AI/ML fundamentals: model training, optimization, deployment, monitoring.
- Strong software architecture and system design capabilities.
- Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data ecosystems.
- Agile methodology experience and ability to define/implement successful processes.
- Ethical AI knowledge: data privacy, bias, transparency.
- Excellent communication, collaboration, and stakeholder management.
- Analytical, data‑driven decision‑making.
- Proven track record delivering complex AI solutions to enterprise customers.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred but not mandatory).