Senior Staff Engineer - AI

I00162 GE India Industrial Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Aerospace at the John F. Welch Technology Center in Bengaluru seeks a Senior AI Engineer to design and deliver AI frameworks at scale, leveraging LLMs, agents, and RAG to unlock measurable business KPIs.

You will partner with Flight Deck and publish AI workflows and agents to raise AI capability across the analytics community. You will merge data sources, build analytics models, and translate AI-driven insights for non-technical stakeholders, while coaching AI Builders and aligning with Data

Qualifications

• Bachelor's in Engineering/Technology/Aerospace or STEM majors with 8+ years of experience.
• Strong SQL/Python fundamentals and fluency in AI-augmented development.
• Hands-on with GitHub Copilot, Claude Code, LLM orchestration frameworks, agents, vector databases, and RAG patterns.

Responsibilities

• Find, interpret, and merge data sources; ensure dataset consistency.
• Create visualisations and communicate insights simply using AI-augmented tooling.
• Prototype, design, build, test, and deploy analytics models and AI agents.
• Define and enforce enterprise AI standards, guardrails, and trustworthy analytics.

Skills

SQL/Python fundamentals

AI-augmented development

Coaching mindset

Education

Bachelor's in Engineering/Technology/Aerospace or STEM Majors

Tools

GitHub Copilot

Claude Code

LLM orchestration

Vector databases

RAG patterns

AWS/GCP/Azure

Data Fabric

Job description

Job Description Summary

As a Senior AI Engineer , you will combine deep classical analytics craft, data engineering, with modern AI-native ways of working. You will design and deliver AI frameworks which can be scaled across the enterprise, and leverage LLMs, agents, and RAG to unlock measurable business KPIs. You will partner closely with FLIGHT DECK, publish AI workflows and agents, and help raise the AI capability of the analytics community around you as an emerging AI Coach.

Company Overview

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Role Overview

Find, interpret, and merge data sources, ensure dataset consistency, create visualisations, and communicate insights simply — using AI-augmented tooling (Claude Code, GitHub Copilot, LLM analytics assistants) to accelerate exploration and narrative generation. Prioritise, prototype, design, build, test, and deploy analytics models and AI agents in an agile methodology — including RAG on enterprise data, natural-language querying, and LLM-driven data quality and anomaly detection. Develop analytic/AI solutions from various source systems— augmented with AI-assisted profiling, entity resolution, and quality-check pipelines. Develop technical expertise in AI development for engineering applications— including next-generation 'ask-the-data' experiences powered by LLMs on top of the enterprise Data Fabric. Present project plans, technical roadmaps, risks, and recommendations to senior leaders — including AI/analytics adoption roadmaps tied to measurable business KPIs. Work closely with the Engineering teams and AI leadership to identify AI-enabled analytics use-cases (agents, copilots, conversational dashboards); translate AI-driven insights into business language for non-technical stakeholders. Serve as a technical specialist in the discipline — deep expertise in classical analytics and applied AI/ML for enterprise data. Partner closely with FLIGHT DECK and business-defined priorities to build, scale, and industrialise AI-powered analytics workflows, agents, and connectors — end-to-end to production adoption. Define and enforce enterprise-grade AI standards, guardrails, and best practices — responsible AI, evaluation, security, observability — so AI-powered insights are trustworthy and production-grade. Coach and enable AI Builders across the analytics community: teach AI Foundations, review agents/workflows, unblock architectural barriers, and align team practices with Data Fabric standards. Develop communication, training, and change-management deliverables to increase adoption of analytics and AI capabilities; establish a community of practice around AI-augmented analytics.

Ideal Candidate

Ideal candidate should have experience in SQL/Python fundamentals plus fluency in AI-augmented development — using AI as a productivity multiplier without compromising data correctness, lineage, or governance.

Required Qualifications

Bachelor's in Engineering/Technology/Aerospace or "STEM" Majors with a minimum of 8 years of experience. Strong oral and written communication skills; strong interpersonal and leadership skills. Demonstrated ability to lead programs and projects — document, plan, market, and execute end-to-end; established project-management skills. Demonstrated ability to analyse and resolve problems — including framing ambiguous business questions as AI/analytics problems and back. Strong SQL/Python fundamentals plus fluency in AI-augmented development — using AI as a productivity multiplier without compromising data correctness, lineage, or governance. Hands-on with modern AI development tooling: 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 — deploying connectors, agents, and artifacts that enable others to scale AI adoption. Cloud proficiency (AWS, GCP, Azure) with data-engineering fundamentals and cybersecurity awareness. Coaching mindset (aligned with the AI Coach persona) — comfortable teaching AI Foundations and lifting the AI capability of analysts and engineers around you; can support ~6–8 AI Builders. Continuous learner who keeps pace with external AI/analytics capabilities and brings insights back to shape enterprise standards and Data Fabric alignment. Formal AI/ML certifications a plus — AWS Certified ML, GCP Professional ML Engineer, Azure AI Engineer, Databricks ML.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information

Relocation Assistance Provided: Yes

At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.