MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable. * Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and ...
MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable. * Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and ...
Principal Product Software Engineer - AI (Juneau)
Juneau, AK · On-site
$173K - $310K/yr
Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs) * Experience with vector, databases and embeddings * Understanding of prompt engineering and AI optimization ...
Principal Product Software Engineer - AI (Juneau)
Juneau, AK · On-site
$173K - $310K/yr
Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs) * Experience with vector, databases and embeddings * Understanding of prompt engineering and AI optimization ...
Principal AI Architect
Juneau, AK · On-site
$217.30 - $325.90/hr
MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable. * Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and ...
Principal AI Architect
Juneau, AK · On-site
$217.30 - $325.90/hr
MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable. * Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and ...
Langgraph information
What is the difference between Langgraph vs Data Analyst?
| Aspect | Langgraph | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires knowledge of language processing and graph databases | Usually requires a degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI research labs, data-driven organizations | Business, finance, healthcare, and marketing sectors |
| Industry Usage | Emerging role in AI and NLP projects | Established role in data interpretation and reporting |
While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.
What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?
What is a Langgraph?
What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Full-time
Medical, Life, Retirement
This job post has expired today. Applications are no longer accepted.
Job description
Our Company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll DoAs the Principal AI Architect for Teradata AI Studio, you will define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage.
You will set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness. You will establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation — and ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market.
This is a hands‑on technical leadership role. Success means shipping architectural decisions that other engineers can build on with confidence, customers adopting AI Studio at scale, and Teradata being recognized as the platform of choice for enterprise AI development.
Who You’ll Work WithYou will be the senior technical voice for AI Studio within Teradata's AI Apps, Analytics, and UX Engineering organization. You will partner with the VP of Engineering for AI Platform, the Staff AI Engineers building AI Studio components, and the Product Management team to align architecture with product strategy.
This role has significant cross‑functional reach — you will engage with Teradata's Core Data Platform team on Vantage integration points, with the Security and Governance team on enterprise‑grade AI controls, and with key customers in design partner engagements to ensure AI Studio solves real problems at enterprise scale.
What Makes You a Qualified Candidate- 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform‑wide technical scope.
- Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments.
- Deep understanding of LLM integration patterns: RAG architectures, fine‑tuning pipelines, evaluation frameworks, and agent tool‑calling interfaces.
- Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics.
- Experience building developer‑facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend.
- Familiarity with open‑source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable.
- Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails.
- Experience with cloud‑native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker).
- Strong cross‑functional influence: you can drive alignment across engineering, product, and customer‑facing teams without formal authority.
- A portfolio of architectural decisions — RFCs, design docs, or open‑source work — that demonstrates your approach.
- A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things.
We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well‑being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.
Pay Rate: 217300.0000 - 271600.0000 - 325900.0000 Annually
Starting pay for the successful applicant will depend on geographic location, internal equity, job‑related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company’s benefits programs, which generally include health care, life and disability insurance, retirement savings, and time‑off programs. Benefit details vary by country and plan, including eligibility and available options, and will be shared during the hiring process. Additional information is available here: https://www.teradata.com/About-Us/Careers/Benefits