Description

Key Exciting Responsibilities:

Direct the pod's use of AI coding agents, orchestrating workflows, reviewing output, and establishing architectural guardrails to ensure sustainable code quality.

Transform high-potential agentic prototypes into production-ready software with robust error handling, security compliance, test coverage, and observability.

Lead, mentor, and advocate for a talented pod of engineers, owning hiring, onboarding, career development, and performance coaching.

Build and maintain shared repositories, CI/CD pipelines, evaluation datasets, and data access standards that accelerate delivery without sacrificing stability.

Align engineering throughput with product strategy, risk management, and organizational standards while advocating for your pod across cross-functional groups.

Essential Skills & Experience:

Demonstrated experience using and managing an AI Product Development Life Cycle (PDLC) process, including directing agentic AI tools across planning and delivery.

Proven track record of people management and technical leadership within fast-paced agile environments.

Strong proficiency in object-oriented design and programming, with deep expertise in .NET/C# alongside modern front-end frameworks like Angular, React, or Vue.

Deep hands-on experience with relational databases, SQL, API development, ETL processes, and enterprise CI/CD pipelines.

Applied commitment to ethical AI principles, including data privacy, explainability, transparency, and bias mitigation.

Bonus Points For:

Experience architecting complex enterprise solutions and implementing agentic RAG or context engineering patterns.

Proven capability navigating legacy systems and modernizing them using scalable multi-agent workflows

Key Skills

Education

Any Graduate