Description:
As a Software Engineering Director, you will lead the design and delivery of productiongrade software systems and AIenabled tooling that underpin highvisibility client engagements and internal platforms. You will own architectural decisions, development standards, and technical direction across multiple workstreams.
Key responsibilities include:
- Architect, build, and scale core software platforms that integrate data, AI services, and userfacing applications.
- Lead the development of AIpowered tools, including decision support systems, copilots, internal developer tools, and domainspecific agents.
- Design and maintain robust service architectures (APIs, eventdriven systems, batch and realtime pipelines) optimized for reliability, security, and extensibility.
- Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
- Collaborate with AI/ML engineers to productionize models and agents, ensuring seamless integration into realworld workflows.
- Partner directly with business leaders and Csuite executives to translate strategic objectives into scalable technical solutions.
- Mentor senior engineers and technical leads, fostering a culture of ownership, craftsmanship, and continuous improvement.
Skills And Attributes For Success
Successful candidates will bring strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution.
You will be expected to:
- Lead development of backend and fullstack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript).
- Design and manage cloudnative architectures on platforms such as AWS or GCP, using containerization and infrastructureascode.
- Build AIready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks.
- Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams.
- Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC2, HIPAA, enterprise governance).
- Translate ambiguous business problems into concrete system designs and incremental delivery plans.
- Communicate complex technical concepts clearly to nontechnical stakeholders.
To qualify for the role, you must have
- A bachelor’s degree in Computer Science, Engineering, or a related technical field and 5+ years of professional engineering experience; or A graduate degree and approximately 3+ years of relevant experience.
- Demonstrated experience in senior software engineering, platform engineering, or technical leadership roles.
- Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services.
- Hands on experience deploying AIenabled applications or tooling into production environments.
- Comfort operating in fastpaced, clientfacing environments with evolving requirements.
- You must either reside in or be in a commutable distance to your office location for this position.
- The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.