Senior Staff Engineer - AI
GE Aerospace15 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Find, interpret, merge, and validate data sources; create visualizations and communicate insights using AI-augmented tooling.
- Design, build, test, deploy, and scale analytics models, AI agents, RAG solutions, natural-language querying, and LLM-driven data-quality and anomaly-detection capabilities.
- Develop enterprise AI and analytics solutions, including profiling, entity resolution, quality-check pipelines, connectors, agents, and Data Fabric experiences.
- Present project plans, technical roadmaps, risks, recommendations, and AI/analytics adoption plans to senior leaders.
- Identify AI-enabled analytics use cases and translate AI-driven insights for non-technical stakeholders.
- Define and enforce enterprise AI standards, guardrails, responsible-AI practices, evaluation, security, and observability.
- Coach and enable approximately 6–8 AI Builders through training, agent and workflow reviews, and architectural support.
- Create communication, training, and change-management deliverables and establish an AI-augmented analytics community of practice.
Requirements
- Bachelor's degree in Engineering, Technology, Aerospace, or another STEM major, with at least 8 years of experience.
- Strong SQL and Python fundamentals and fluency in AI-augmented development while maintaining data correctness, lineage, and governance.
- Hands-on experience with GitHub Copilot, Claude Code, LLM orchestration frameworks, agent frameworks, vector databases, and RAG patterns applied to enterprise data.
- Deep experience building secure and scalable enterprise AI-analytics solutions and deploying connectors, agents, and artifacts for broader adoption.
- Cloud proficiency with AWS, GCP, and Azure, plus data-engineering fundamentals and cybersecurity awareness.
- Demonstrated ability to lead programs and projects, manage end-to-end execution, analyze ambiguous problems, and communicate effectively with technical and non-technical stakeholders.
- Strong oral and written communication, interpersonal, leadership, coaching, and continuous-learning skills.
- Formal AI/ML certifications such as AWS Certified ML, GCP Professional ML Engineer, Azure AI Engineer, or Databricks ML are a plus.
Benefits
- Relocation assistance is provided.
Tech Stack
Categories
AI ApplicationsData Engineering
About GE Aerospace
GE Aerospace designs and manufactures jet and turboprop engines, plus integrated avionics, power, and mechanical systems for commercial, business, and military aircraft. It sells to airframe OEMs, airlines, and defense operators, and derives significant revenue from long-term maintenance and aftermarket support. The company is headquartered in Cincinnati, Ohio, and operates as a standalone public company on the NYSE (ticker GE).