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Permanent Vector Pipeline Jobs (NOW HIRING)

... RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks. * Drive ... All other permanent roles will be eligible for one of our annual incentive plans, which are based ...

Permanent Compensation Range: $200,000-$225,000 base salary plus discretionary bonus Benefits ... Build data pipelines and workflow automations in Databricks. * Develop AI tools, RAG solutions, and ...

Staff Data Architect

Long Beach, CA · On-site

$155K - $221K/yr

... vector databases, and modern data stack tools * Optimize data pipelines for performance, cost ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

Staff Engineer Firmware

Pleasanton, CA · On-site

$163K - $213K/yr

... acquisition pipelines, and implementing the control algorithms that drive precision sensing ... Vector Atomic employees must be U.S. citizens (born or naturalized), lawful U.S. permanent ...

Senior Rust Software Engineer

Pleasanton, CA · On-site

$136K - $179K/yr

... acquisition pipelines, and critical control algorithms on ARM SoCs from concept to deployment ... Vector Atomic employees must be U.S. citizens (born or naturalized), lawful U.S. permanent ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... vector databases, embedding pipelines, and efficient retrieval mechanisms * Lead the architecture ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... vector databases, embedding pipelines, and efficient retrieval mechanisms * Lead the architecture ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have ...

Senior Rust Software Engineer

Pleasanton, CA

$136K - $179K/yr

... acquisition pipelines, and critical control algorithms on ARM SoCs from concept to deployment ... Vector Atomic employees must be U.S. citizens (born or naturalized), lawful U.S. permanent ...

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

You'll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes ... Experience with big data, columnar storage formats, vector indexes, and privacy/compliance in data ...

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

S. (Citizen, Permanent Resident, or EAD). Sponsorship: This position does not offer any type of ... Collaborate with DevOps engineers to automate deployments through CI/CD pipelines. * Ensure AI ...

Staff Data Architect

Long Beach, CA · On-site

$69.50 - $89.50/hr

... vector databases, and modern data stack tools • Optimize data pipelines for performance, cost ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

Staff Data Architect

Long Beach, CA · On-site

$67 - $86.25/hr

... enable permanent human presence by 2030. Our team is all-in, committed to executing our mission ... vector databases, and modern data stack tools * Optimize data pipelines for performance, cost ...

Showing results 21-40

Permanent Vector Pipeline information

See salary details

$96K

$139.2K

$167.5K

How much do permanent vector pipeline jobs pay per year?

As of Aug 8, 2026, the average yearly pay for permanent vector pipeline in the United States is $139,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is the difference between Permanent Vector Pipeline vs Data Engineer?

AspectPermanent Vector PipelineData Engineer
Required CredentialsBachelor's in CS, related field, or equivalent experienceBachelor's or higher in CS, Data Science, or related field
Work EnvironmentTech companies, data-focused teams, cloud platformsData teams, cloud environments, software development settings
Industry UsageData processing, machine learning pipelines, analyticsData infrastructure, ETL processes, data architecture
Search & Comparison IntentUnderstanding pipeline-specific roles vs broader data roles

The Permanent Vector Pipeline role focuses on building and maintaining specific data pipelines for vector data processing, often within machine learning contexts. Data Engineers have a broader scope, designing and managing overall data infrastructure and workflows. While both roles require similar technical skills and work in data-centric environments, the Permanent Vector Pipeline role is specialized in vector data handling, whereas Data Engineers work across various data systems and architectures.

More about Permanent Vector Pipeline jobs
What cities are hiring for Permanent Vector Pipeline jobs? Cities with the most Permanent Vector Pipeline job openings:
What are the most commonly searched types of Vector Pipeline jobs? The most popular types of Vector Pipeline jobs are:
What states have the most Permanent Vector Pipeline jobs? States with the most job openings for Permanent Vector Pipeline jobs include:
What job categories do people searching Permanent Vector Pipeline jobs look for? The top searched job categories for Permanent Vector Pipeline jobs are:
Infographic showing various Permanent Vector Pipeline job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $139,222 per year, or $66.9 per hour.

Senior Staff AI Engineer - 220323

Teradata

San Diego, CA • On-site, Remote

$199K - $249K/yr

Full-time

Medical, Life, Retirement

Re-posted 4 days ago


Job description

About Teradata
At Teradata, we believe that people thrive when empowered with better information. That's why we build the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we empower the world's leading enterprises to make confident, data driven decisions at scale.
Role Overview
As a Senior Staff AI Engineer, you will be a senior technical leader responsible for designing, evolving, and scaling Teradata's enterprise AI platforms and capabilities. This role goes beyond feature delivery-you will own architecture level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation (RAG), vector stores, and developer facing AI systems.
You will operate with a high degree of autonomy, partner closely with product and architecture leadership, and raise the technical bar across multiple teams.
Key Responsibilities
Technical Leadership & Architecture
  • Lead the design and evolution of largescale, distributed AI systems that power Teradata's AI platform and AI native products.
  • Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
  • Drive technical strategy and architectural consistency across multiple engineering teams.

AI Systems & Platform Development
  • Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures.
  • Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle.
  • Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems.

Cross Functional Influence
  • Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions.
  • Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking.
  • Act as a technical escalation point for complex system design, performance, and reliability challenges.

Quality, Performance & Operational Excellence
  • Drive best practices for testing, observability, evaluation, and production readiness of AI systems.
  • Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines.
  • Establish engineering standards that improve development velocity, quality, and operational resilience.

Mentorship & Org Level Impact
  • Mentor Senior and Staff level engineers, providing guidance on architecture, design reviews, and technical decision making.
  • Raise the overall engineering bar through design forums, technical reviews, and knowledge sharing.
  • Lead by example through hands on contributions to the most complex and business critical problems.

Required Qualifications (Non negotiable)
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 12+ years of experience building backend services, distributed systems, or data/AI platforms.
  • Strong proficiency in Java, Go, or Python, with experience building largescale services.
  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.
  • Proven experience designing and operating production systems with SQL and NoSQL data stores.

Preferred / Differentiating Skills
  • Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
  • Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
  • Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).
  • Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

Why We Think You'll Love Teradata
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.
#LI-SK1
Pay Rate: $199,500.00 - $249,400.00 - $299,300.00 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/BenefitsEmployees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits
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.