Full-Time
Principal AI Engineer
Updated on 8/1/2026
GE Vernova
1,001-5,000 employees
Power, wind, and grid solutions provider
No salary listed
Bengaluru, Karnataka, India
In Person
Relocation assistance is provided.
 AI & Machine Learning (1) |
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- A bachelor's degree in Computer Science, Computer Engineering, or a related technical field is required.
- At least 10 years of programming experience in a relevant language using modern front-end frameworks such as React, Vue, or Angular and multiple backend languages such as Python, Java, Node.js, or Go is required.
- A proven track record designing and shipping production applications that incorporate large language models or artificial intelligence services at scale is required.
- Experience with vector databases such as Milvus, Pinecone, Weaviate, or pgvector and advanced embedding model optimization in production applications is required.
- Expertise with multiple large language model providers and advanced artificial intelligence orchestration frameworks such as LangChain, LlamaIndex, or custom frameworks is required.
- Expert-level experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure and advanced containerization with Elastic Kubernetes Service is required.
- Strong oral and written communication, interpersonal, and leadership skills are required.
- The candidate must be able to analyze and resolve problems, lead programs or projects, and document, plan, market, and execute programs.
- Design, build, deliver, and maintain artificial intelligence software applications and services across cloud, platform, and application areas.
- Manage the full software lifecycle, including requirement analysis, documentation and procedures, implementation, and bug fixing.
- Establish artificial intelligence architecture and technical vision across products.
- Lead cross-team initiatives with product and data science teams.
- Design retrieval-augmented generation and agent workflows and optimize large language model integrations.
- Build multi-tenant, high-availability systems with observability.
- Establish artificial intelligence cost management, monitoring, and security standards.
- Stay informed of artificial intelligence industry trends and guide teams in upskilling on best practices.
- Communicate the strategy and direction of artificial intelligence application delivery to relevant stakeholders.
- Lead functional teams or projects with minimal resource requirements, risk, or complexity; communicate difficult concepts and influence others on particular topics.
- At least 15 years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.
- Advanced understanding of enterprise retrieval-augmented generation architectures, semantic search optimization, and conversation memory management at massive scale.
- Experience with multimodal artificial intelligence integration, model fine-tuning, and deployment of custom artificial intelligence models.
- Experience with artificial intelligence observability tools, cost optimization strategies, and performance monitoring at enterprise scale.
- Experience with cross-organizational collaboration and influencing other teams’ directions and roadmaps.
- Experience with technical strategy development and technology roadmap planning.
GE Vernova is a global energy company created in 2024 to support the electricity grid and the energy transition, with three focuses: Power, Wind, and Electrification. It sells large-scale equipment, signs long-term service agreements, and provides software to utilities, independent power producers, grid operators, and large industrial energy users. Its products include H-Class gas turbines that can burn natural gas with blends of hydrogen toward 100% hydrogen, Haliade-X offshore wind turbines up to 14.7 MW, and GridOS software that unifies grid data to help manage networks and integrate renewables. By combining hardware, services, and software under GE heritage, it aims to meet rising electricity demand while accelerating decarbonization across global energy systems.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
$17.7M
Headquarters
Cambridge, Massachusetts
Founded
2022
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Simplify's Take
What believers are saying
- Q2 2026 revenue reached $11.1 billion, up 22% year over year.
- Orders surged 88% organically to $24.2 billion, expanding backlog by $13 billion.
- Data-center orders exceeded $5 billion year to date, driving grid demand.
What critics are saying
- Wind remains pressured by Vestas, Siemens Gamesa, and weak offshore project economics.
- Europe-heavy Grid Solutions backlog concentrates execution risk if utility capex slips.
- Large gas and nuclear projects face delays, cancellations, and costly delivery failures.
What makes GE Vernova unique
- GE Vernova bundles Power, Wind, and Electrification under one 2024 spin-off.
- Its portfolio spans gas, nuclear, hydro, wind, grids, and digital electricity systems.
- Services exceed 55% of backlog, supporting recurring cash flow visibility.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Parental Leave
Mental Health Support
Relocation Assistance
Performance Bonus
Company News
GE Vernova has secured an additional $6 million in state funding for its $96 million Advanced Research Center on Balltown Road in Niskayuna, New York. The grant, awarded through the FAST NY programme, will fund water supply, road and stormwater management upgrades at the campus, offsetting roughly half of the $12 million in required infrastructure improvements. The company previously received $9.6 million in state tax credits linked to plans for creating 75 new jobs at the research centre, along with low-cost hydropower allocation. The site, separate from GE Vernova's existing River Road labs, will house energy technology research including a direct air capture carbon system currently under testing. GE Vernova earned nearly $5 billion in 2025 on $38 billion in revenue, with a market value of $242 billion.
ThinkLabs has raised $28 million USD ($39 million CAD) in a Series A round led by Energy Impact Partners to help power grids manage surging demand from AI data centres. Nvidia's venture fund NVentures and Edison International participated, alongside returning investors including GE Vernova. The Canadian-led, New York-based startup provides physics-informed AI software that creates digital twins of power grids, simulating scenarios to help operators maintain reliability and reduce outages. The platform reduces what would typically be a six-month, quarter-million-dollar study to under a day's analysis. Founded by former Toronto Hydro smart-grid department head Josh Wong, ThinkLabs spun out of GE Vernova in early 2024 with $6.8 million CAD in seed funding. The company will use the new capital to mature its product and expand features whilst focusing on the North American market.
President Donald Trump and Prime Minister Sanae Takaichi have unveiled a US-Japan energy investment plan potentially worth $40 billion, centring on small modular nuclear reactors. GE Vernova and Hitachi will develop BWRX-300 reactors in Tennessee and Alabama, whilst Japan will invest up to $33 billion in natural gas plants in Pennsylvania and Texas. The initiative forms part of a broader $550 billion bilateral investment fund agreed under a recent trade pact. It aims to address rising electricity demand from data centres and artificial intelligence infrastructure. However, most SMR designs await regulatory approval and none have been deployed on US grids. The agreement also covers critical minerals and industrial supply chains, with Japanese firms contributing components and participating in rare-earth projects across Indiana, Arizona and North Carolina.
GE Vernova shares have risen 14.8% over the past three months, outperforming its Zacks Alternate Energy – Other industry's 4.1% growth. The company is benefiting from surging electricity demand driven by AI data centre expansion, creating strong opportunities for its turbines and grid equipment. GE Vernova is improving profitability in its wind segment through cost controls and portfolio optimisation, whilst its gas power and power services businesses continue strong performance. In March 2026, the company secured a contract for a 100-megawatt wind farm in Italy, supplying 17 turbines plus maintenance support. The company is expanding its Italian manufacturing facility to boost production of transformer components and advancing its BWRX-300 small modular reactor project in Poland, strengthening its position in the nuclear power market.
BlackRock is advising investors to focus on AI energy stocks rather than big tech companies in 2026, as AI data centres drive a surge in power demand. Deloitte anticipates a 30-fold increase in US AI data centre power consumption between 2024 and 2035. Three promising investments include Bloom Energy, which provides hydrogen fuel cell solutions for onsite electricity generation. The company reported $778 million in revenue last quarter, up 36% year over year, with analysts expecting accelerated growth. Constellation Energy, America's leading nuclear power provider, is restarting a Three Mile Island reactor to supply Microsoft's AI data centre. The company generates over two-thirds of its electricity through nuclear power. GE Vernova, General Electric's power production spinoff, reported orders up 34% to $59.3 billion, with a $150 billion backlog.