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Temporary Vector Pipeline Jobs (NOW HIRING)

Merican

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and ... Implement vector databases and embedding strategies to power RAG pipelines over Client internal ...

Truist

AI Data Engineering Lead

Charlotte, NC · On-site

$111K - $134K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Experience building data infrastructure that supports AI/ML pipelines, vector retrieval, RAG ...

Truist

AI Data Engineering Lead

Charlotte, NC · On-site

$111K - $134K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Experience building data infrastructure that supports AI/ML pipelines, vector retrieval, RAG ...

TEKsystems

Data Engineer

Deerfield, IL · Remote

$70 - $85/hr

Ensure pipelines are scalable, reliable, and maintainable Data Modeling & Architecture * Develop ... Exposure to vector databases and retrieval-augmented generation (RAG) * Cloud platform experience ...

Actalent

C++ Software Engineer

Manassas, VA · On-site

$50 - $75/hr

Support engineering efforts to improve and modernize CI/CD pipeline workflows, focusing on ... Understanding of concepts such as smart pointers, vectors vs. arrays, heap vs. stack allocation ...

New

TEGNA Inc.

Director, AI & Automation

New York, NY · On-site

$175K - $200K/yr

Oversee the design and maintenance of scalable AI pipelines and shared services (prompt libraries ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

TEGNA

Director, AI & Automation (New York)

Manhattan, NY · On-site

$175K - $200K/yr

... vector databases--ensuring alignment with TEGNA's enterprise architecture and security policies ... Oversee the design and maintenance of scalable AI pipelines and shared services (prompt libraries ...

VOLT

Junior AI/ML Engineer

San Diego, CA · On-site

$48/hr

Package models into APIs/pipelines, work in a small-PR workflow, add unit/integration tests, and ... This is a full-time - long term temporary opportunity. The role will be on-site at the San Diego ...

Ensemble Health Partners, Inc.

Software Engineer

$84K - $144K/yr

Build and maintain scalable data pipelines and services that enable ingestion, transformation, and ... vector search). * This position pays between $84,000 - 144,900 based on experience * Must be ...

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As of Jul 8, 2026, the average hourly pay for temporary vector pipeline in the United States is $25.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $28.37 per hour, depending on experience, location, and employer.
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Temporary Vector Pipeline jobs near you
Infographic showing various Temporary Vector Pipeline job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $52,394 per year, or $25.2 per hour.
Senior AI Engineer - Privacy

Senior AI Engineer - Privacy

Merican

Bellevue, WA • On-site

$117K - $162K/yr

Contractor

Posted 25 days ago

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Senior AI Engineer - Privacy
Location: Bellevue, WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
  • The Senior AI Engineer - Privacy will design, build, and operationalize AI and agentic systems that power Client data privacy platform at scale.
  • Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation model capabilities to automate, enhance, and scale privacy operations - including Data Subject Request (DSR) processing, consent management, regulatory compliance monitoring, and privacy impact assessment workflows - across a customer base of over 100 million.
  • You will collaborate with data engineers, full stack engineers, privacy product managers, and legal and compliance teams to deliver production-grade AI solutions.
  • You will apply responsible AI principles, implement human-in-the-loop controls, and ensure audit logging and observability across AI-assisted privacy workflows.
  • Your work will directly shape how Client meets its obligations under CCPA, CPRA, TCPA, and other state and federal privacy regulations.

AI Agent & LLM Engineering
  • Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent.
  • Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g. Claude, Gemini, GPT-4) into production privacy applications.
  • Implement structured prompting, decision workflows, and tool orchestration - including MCP (Model Context Protocol)-based architectures - for autonomous agent systems.
  • Build AI-powered automation for privacy operations including intelligent DSR routing, threshold monitoring, agentic data quality checks, and automated regulatory notifications.
  • Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows.

Data & ML Engineering
  • Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training, fine-tuning, and inference.
  • Apply prompt engineering, few-shot learning, and fine-tuning techniques to adapt foundation models for privacy-specific use cases.
  • Implement vector databases and embedding strategies to power RAG pipelines over Client internal privacy knowledge bases and policy documents.
  • Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines.

Cloud & MLOps
  • Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints, container registries, and GPU/compute resources.
  • Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps, applying MLOps best practices.
  • Implement monitoring, alerting, and performance tracking for production AI models and agent systems using Splunk, AppDynamics, or Grafana.
  • Apply containerization (Docker) and orchestration (Kubernetes) to ensure scalable and reliable AI service deployments.

Responsible AI & Compliance
  • Implement responsible AI principles - including fairness, transparency, and explainability - across all AI systems used in privacy operations.
  • Ensure AI-assisted workflows comply with CCPA, CPRA, TCPA, and other applicable state and federal privacy regulations.
  • Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights.
  • Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails and constraints.

Technical Leadership & Collaboration
  • Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions.
  • Mentor junior engineers on AI/ML engineering practices, agentic patterns, and responsible AI design principles.
  • Produce clear technical documentation, architecture diagrams, and model cards for AI systems in production.
  • Contribute to internal accelerators, reusable AI component libraries, and the broader engineering community of practice.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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