24 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Find, interpret, merge, and profile data sources while ensuring dataset consistency, lineage, quality, and governance.
- Design, build, test, and deploy scalable analytics models, AI agents, RAG experiences, natural-language querying, and LLM-driven data-quality and anomaly-detection solutions.
- Develop enterprise AI frameworks, connectors, workflows, and Data Fabric experiences for engineering applications.
- Define and enforce enterprise AI standards, guardrails, evaluation practices, security controls, observability, and responsible-AI best practices.
- Partner with FLIGHT DECK, engineering teams, AI leadership, and business stakeholders to identify use cases and drive production adoption tied to measurable KPIs.
- Present project plans, technical roadmaps, risks, recommendations, and AI/analytics adoption strategies to senior leaders.
- Coach and enable approximately 6–8 AI Builders through AI Foundations training, agent and workflow reviews, and architectural support.
- Create communication, training, and change-management materials and establish an AI-augmented analytics community of practice.
Requirements
- Bachelor’s degree in Engineering, Technology, Aerospace, or another STEM major.
- At least 8 years of professional experience.
- Strong SQL and Python fundamentals and fluency in AI-augmented development.
- 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 with connectors, agents, and reusable artifacts.
- Cloud proficiency across AWS, GCP, and Azure, with data-engineering fundamentals and cybersecurity awareness.
- Demonstrated ability to lead programs and projects end to end, including planning, documentation, execution, and communication.
- Strong analytical, problem-solving, oral communication, written communication, interpersonal, and leadership skills.
- Ability to coach analysts and engineers, teach AI Foundations, and support AI capability development.
- Formal AI/ML certifications such as AWS Certified ML, GCP Professional ML Engineer, Azure AI Engineer, or Databricks ML are preferred.
Benefits
- Relocation assistance is provided.
Tech Stack
Categories
About GE
GE is a public industrial company that designs and sells aircraft engines, power generation equipment, and related software and services to airlines, utilities, and governments. Following its restructuring, it operates through GE Aerospace and GE Vernova. Founded in 1892 and headquartered in Boston, it trades on the NYSE as GE and serves global aviation and energy markets.