AI Engineering Manager
Valsoft Corporation
About The Position
The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.
Requirements
- 7+ years software engineering experience
- 2+ years in technical leadership
- Hands-on experience building and deploying AI-enabled systems
- Strong knowledge of LLM integration and prompt design
- Strong knowledge of RAG architectures and vector search
- Strong knowledge of AI orchestration frameworks
- Strong knowledge of Cloud platforms (Azure, AWS, or GCP)
- Experience designing scalable distributed systems
Nice To Haves
- Experience in regulated industries
- AI governance and compliance knowledge
- Model lifecycle management and monitoring tools
Responsibilities
- Own product architecture, including AI/LLM-integrated components
- Design scalable, secure, and maintainable systems
- Lead decisions involving LLM integration (OpenAI, Azure OpenAI, etc.), RAG architectures and vector databases, and AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
- Ensure system reliability, observability, and cost efficiency
- Establish AI governance and safe usage practices
- Apply modern AI methodologies, including Retrieval-Augmented Generation (RAG), Prompt engineering and evaluation, AI output validation and guardrails, Human-in-the-loop workflows, and Model monitoring and performance evaluation
- Drive experimentation, A/B testing, and telemetry-based decision making
- Lead and mentor developers and QA engineers
- Raise AI literacy across the team
- Establish AI-native coding and review standards
- Balance speed, quality, and architectural integrity
- Own predictable, high-quality releases
- Ensure AI features are measurable, validated, and production-ready
- Act as technical escalation point
- Drive cross-team alignment with Product, Data, and DevOps
- Leverage AI-assisted development tools to improve velocity
- Optimize AI cost-performance tradeoffs
- Embed automation into testing and CI/CD pipelines
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
