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Context Engineering Jobs (NOW HIRING)

Kiongroup

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our ... This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our ... This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ...

JSR Tech Consulting

Data Scientist

Newark, NJ · On-site

Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development. • Design and build AI agent harnesses, orchestration frameworks, and context engineering ...

IBM

Forward Deploy Engineer

... Context Engineering, Spec Engineering, and Prompt Engineering to drive value-driven accelerated delivery. • Ability to transform business and domain requirements to Ai enabled solutions • ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our ... This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ...

Kiongroup

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our ... This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ...

KPMG

Data Engineer- Manager

Dallas, TX · On-site

$113K - $136K/yr

Take ownership of designing and implementing data pipelines focused on context engineering, transforming vast amounts of structured (e.g., transactional) and unstructured client data into high ...

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Context Engineering information

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$46.5K

$146.9K

$174K

How much do context engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for context engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineering jobs pay $500,000?

Senior engineering roles such as petroleum engineers, aerospace engineers, and certain software engineering positions can reach or exceed $500,000 annually, especially with bonuses, stock options, or in high-demand industries. These roles typically require advanced skills, extensive experience, and often involve leadership or specialized technical expertise.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI architect, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

What is the role of a context engineer?

A context engineer designs and develops systems that interpret and manage contextual data to improve AI and software performance. They work with data modeling, machine learning, and software development tools to create applications that adapt to user environments and behaviors.

What jobs pay $2000 a day?

In the field of Context Engineering, high-paying roles such as senior consultants, specialized engineers, or project leads can earn around $2,000 per day, especially with extensive experience, advanced skills in data analysis, and certifications. These roles often involve complex problem-solving, technical expertise, and leadership responsibilities in technology or engineering projects.
What cities are hiring for Context Engineering jobs? Cities with the most Context Engineering job openings:
Infographic showing various Context Engineering job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 90% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Senior AI Context Engineer

Kiongroup

Atlanta, GA • Hybrid

$134K - $179K/yr

Other

Posted 21 days ago

Job description

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and AI-ready data abstractions that enable trusted analytics and reliable AI consumption.
This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines strong technical execution skills with architectural thinking and cross-functional collaboration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications:

This is What You Will do in This Role:

  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Build AI-safe data abstraction layers that prevent metric recomputation and ensure consistency across analytics and AI use cases.
  • Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains.
  • Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred).
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.
  • Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks.
  • Apply DataOps principles including CI/CD, automated testing, and deployment automation for data products.
  • Support domain-oriented and microservices-based data architecture patterns.
  • Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform design.

What We are Looking For:

  • 10-15+ years of experience in enterprise-scale cloud data engineering and distributed systems.
  • Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run).
  • Deep expertise in SQL, Python, and data modeling (dimensional modeling, lakehouse architectures).
  • Experience with open-source tech stack such as Iceberg, Trino, Kubernetes, Docker etc.
  • Hands-on experience with metadata management, lineage tracking, observability, and data quality frameworks.
  • Experience building both batch and real-time streaming data systems.
  • Strong understanding of semantic modeling, business metric governance, and AI consumption patterns.

What Will Set You Apart:

  • Experience with Data Mesh or domain-driven data architecture.
  • Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG).
  • Supply chain background

Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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