Sr Principal AI Software Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-10-08). Last seen at its source just now.
We have tracked this listing since 8 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 2d ago · last seen just now
The listing
Apply a strategic understanding of the timing and rationale of AI design choices and help decide upon critical design areas early in the development process. You’ll drive new ways of thinking, across groups within business units, to improve quality, engineering productivity and responsiveness to feedback and changing priorities.
You’ll integrate LLMs, agent workflows, NLP, computer vision, RAG, and predictive analytics to build secure, high-availability and cost efficient AI based solutions.
We will count on you to tailor communication to a variety of audiences and perspectives and anticipate issues to prevent conflict. We will depend on you to choose appropriate internal or external technologies, incorporate research, and create designs that are reused across teams. We’ll count on you being an excellent judge of AI practices that work well.
You’ll partner with product, data science, engineering leaders, business executives, and CIOs. You’ll mentor teams, and raise standards in AI development, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product.Job Description
Responsibilities
- Influence AI strategy, direction and policy.
- Oversee and lead all AI architecture and technical vision across products and solutions.
- Lead cross-team initiatives with product and data science.
- Lead architecture and support implementation on large scale AI program across business segments
- Design agent workflows, RAG architecture and develop approaches to develop custom LLMs with specific domain data.
- Represent GE Vernova as a subject-matter-expert with partners, vendors and customers.
- Apply your knowledge of AI trends to develop new practices.
- Review business requirements and help the team understand trade offs.
- Establish AI cost management, monitoring, and security standards.
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
- Extensively demonstrated programming experience in a relevant language using modern languages (Python preferred, Java, Node.js or Go)
- Proven experience designing and deploying production GenAI applications that use large language models at scale.
- Experience with vector databases (e.g. pgvector, Milvus, Pinecone) and advanced embedding model optimisation in production applications
- Expertise with multiple LLM providers, advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks), Eval frameworks and creating custom agents.
- Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship
- Expert-level experience with cloud platforms (i.e AWS, GCP, or Azure) and advanced containerisation (EKS)
- Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring.
- Systematic problem-solving approach, strong communication skills, a sense of ownership and drive.
PREFERRED QUALIFICATIONS
- Extensively demonstrated experience of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization
- Advanced understanding of enterprise RAG architectures, semantic search optimisation, and conversation memory management at massive scale
- Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models
- Experience with AI observability tools, cost optimisation strategies for different AI application types, and performance monitoring at enterprise scale
- Experience with cross-organisational collaboration and communicating technology strategy across a variety of stakeholders.
- Experience with technical strategy development and technology roadmap planning
Relocation Assistance Provided: Yes