We are seeking a Handson Director/ VP of Engineering to lead engineering teams manage client relationships and ensure successful project delivery with a focus on cloud AI and Microservices. Reporting to the SVP of Engineering.he ideal candidate would have 15 years of experience with the last 5 years in a senior engineering role for a tech consultancy or a product development company.
Key Responsibilities:
- ClientFacing Leadership:
- Lead engineering teams in executing client projects ensuring high quality timely delivery.
- Act as the primary technical point of contact for clients managing expectations and ensuring solutions align with business needs.
- Guide clients through technical decisions helping them adopt modern architectures cloud platforms (AWS Azure) and AIdriven solutions.
- Technical Leadership:
- Provide handson leadership in system design development and deployment particularly with cloudbased systems Microservices and AI integrations.
- Oversee LLM (Large Language Model) integration leveraging models like GPT and implement advanced AI architectures such as RetrievalAugmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF).
- Lead the development of applications using React .NET Python or Node.js ensuring scalable maintainable and performant solutions.
- Team Management:
- Manage and mentor engineering managers leads and developers fostering a culture of excellence and continuous learning.
- Ensure the team adheres to best practices in coding architecture testing and deployment.
- Project Delivery & Client Satisfaction:
- Ensure client projects meet deadlines scope and quality standards while managing resources effectively.
- Resolve technical challenges and proactively address issues that may impact delivery.
- Maintain strong client relationships through regular communication and feedback loops.
Required Skills & Qualifications:
- Technical Expertise:
- Extensive experience in .NET (C#) Python (Django Flask) or Node.js (Express.js) with handson experience building backend systems and APIs with experience on React for frontend development.
- Deep knowledge of cloud technologies (AWS Azure) and experience deploying cloudnative applications and Microservices architectures.
- Strong background in AI integration specifically LLM technologies RAG and RLHF architectures and the ability to apply these in clientfacing solutions.
- Solid understanding of system design principles including scalability high availability performance and security.
- Leadership & Client Engagement:
- Proven experience managing engineering teams and leading client engagements balancing technical leadership with clientfacing responsibilities.
- Strong communication skills capable of translating complex technical concepts for nontechnical stakeholders.
- Ability to prioritize and manage multiple projects in a fastpaced clientdriven environment.