À propos de ce poste Principal Software Engineering Manager - AI Engineering (Position located in Bengaluru, India) chez KnowBe4
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.
Please submit your resume in English.
As a Principal Software Engineering Manager, you'll lead a full-stack AI engineering team of data scientists, ML engineers, software engineers, and data engineers - building the data pipelines, models, services, and endpoints that power our products end-to-end. You'll set the technical direction across the stack, turn applied research into production systems, and grow the people doing the work.
Responsibilities:
- Lead from the front: Stay close to the AI engineering craft while multiplying your team’s real-world product impact.
- Drive AI delivery: Build, orchestrate, and deploy production-ready LLM, SLM, and agentic architectures (RAG, fine-tuning, eval pipelines, context engineering).
- Own the stack: Take full ownership from data ingestion pipelines to consumer-facing APIs.
- Translate strategy into execution: Turn KnowBe4's goals into operational plans and clear priorities for the team.
- Coordinate cross-functionally: Partner across product, research, and engineering functions to deliver end-to-end.
- Coach and grow the squad: Build, mentor, and develop a full stack AI team; own hiring, performance, and career growth
To thrive in this role, you'll need a strong foundation in software engineering and a background in product development. The following skills are essential:
Education and Technical Experience:
- Experienced Leader: B.E/B.Tech/M.Tech/MS with 10+ years across AI/Software/Data Engineering or ML, including 2+ years directly leading engineers while staying hands-on.
- GenAI Builder: Proven track record deploying foundation models, RAG, fine-tuning, agentic systems (MCP, LLM orchestration) into production.
- Hands-on Engineer: Strong full-stack chops — Python, FastAPI/APIs, distributed computing, serverless, and AWS (Bedrock/SageMaker).
- Full-Stack Competent: Comfortable leading across data pipelines (Glue/Spark), model serving, MLOps, and vector search/RAG.
- Talent Developer: Proven success hiring and mentoring strong IC talent across multiple disciplines.
- Bonus: ML/DS depth - statistical modeling, NLP, Hugging Face, ensembles - and exposure to cybersecurity, fraud, or adversarial domains.
The Tech You'll Work With:
- AI & LLMs: Anthropic Claude · AWS Bedrock · OpenAI · HuggingFace · PyTorch · LangChain · LangGraph
- Data & ML: Python · FastAPI · Pydantic · PySpark · Polars · Parquet · Iceberg/Delta Tables · SageMaker · Vector DBs (PGvector, OpenSearch)
- Cloud & Infra: AWS Lambda · Batch · Glue · EventBridge · Terraform · GitLab CI/CD
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
