1

Contextual Ai Jobs (NOW HIRING)

Lead Engineer, Audience Data Platform

New York, NY · Hybrid

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Partner AI Architect

California, MD · On-site

$60.25 - $79.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineer contextual AI experiences that leverage real-time data and conversation state - Design how AI systems incorporate dynamic context such as customer data, interaction history, and external ...

About Contextual Contextual partners with clients to deliver cutting-edge AI solutions that transform tasks, processes and operations with a focus on scale and ROI. By leveraging the Contextual.io ...

Partner AI Architect

Charleston, WV · On-site

$58.25 - $76.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineer contextual AI experiences that leverage real-time data and conversation state - Design how AI systems incorporate dynamic context such as customer data, interaction history, and external ...

Lead Engineer, Audience Data Platform

Manhattan, NY · Hybrid

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Strong experience working with generative and contextual AI, including exposure to LLMs, AI architectures, deployment models, prompt development, and enterprise security considerations. * A minimum ...

Lead Engineer, Audience Data Platform

Manhattan, NY · Hybrid

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Lead Engineer, Audience Data Platform

New York, NY · Hybrid

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Lead Engineer, Audience Data Platform

Manhattan, NY · On-site

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Lead Engineer, Audience Data Platform

Manhattan, NY · Hybrid

$168K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting. Qualifications (What We're Looking For) * 8+ years of ...

Senior Product Marketing Manager - Agent Empowerment

OR · On-site +1

$120K - $158K/yr

Five9 AI Knowledge - Contextual, AI-driven answers and recommendations delivered to live and virtual agents at the moment of need * Five9 AI Agents - Agentic AI Agents that power intelligent customer ...

Pre-Sales AI Consultant

New York, NY · Hybrid

  • Medical

  • Retirement

  • PTO

Strong experience working with generative and contextual AI, including exposure to LLMs, AI architectures, deployment models, prompt development, and enterprise security considerations. * A minimum ...

Strong experience working with generative and contextual AI, including exposure to LLMs, AI architectures, deployment models, prompt development, and enterprise security considerations. * A minimum ...

Senior AI Engineer

San Francisco, CA · On-site

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You see across disparate tools, data sources, and teams, and connect them into cohesive, contextual AI-powered experiences * Hands-on design and implementation of agentic systems: You design and ship ...

Showing results 21-40

Contextual Ai information

See salary details

$31K

$97.1K

$172K

How much do contextual ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contextual ai in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a contextual AI specialist?

Contextual AI specialists are professionals who design, develop, and implement artificial intelligence systems that understand and adapt to the context in which they operate. Their work involves creating models that can interpret data based on situational factors, user behavior, and environmental variables to provide more accurate and relevant outcomes. These specialists often collaborate with data scientists, software engineers, and domain experts to build AI solutions that deliver personalized user experiences and make informed decisions. Contextual AI is increasingly used in areas like natural language processing, recommendation systems, and smart assistants.

What are the key skills and qualifications needed to thrive as a contextual AI specialist?

To thrive as a Contextual AI Specialist, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with AI development frameworks (like TensorFlow or PyTorch), data annotation tools, and experience with large language models are typically required. Critical thinking, problem-solving, and effective cross-functional communication help you interpret complex data and collaborate with stakeholders. These skills are essential to develop AI systems that understand and respond accurately to user context, ensuring relevance and reliability in real-world applications.

How do professionals working in contextual AI typically collaborate with cross-functional teams to deploy effective AI solutions?

Professionals in Contextual AI often work closely with data scientists, software engineers, product managers, and domain experts to develop and deploy AI models that understand and adapt to context-specific information. Collaboration commonly involves regular meetings to define project goals, align on data requirements, and iterate on model outputs based on feedback from stakeholders. Effective communication is crucial, as team members must translate complex AI concepts into actionable insights for non-technical colleagues. This multidisciplinary teamwork ensures that AI solutions are not only technically robust but also meet real-world user needs and business objectives.

What is the difference between Contextual Ai vs Data Analyst?

AspectContextual AiData Analyst
Required CredentialsBackground in AI, machine learning, data science, programmingDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, marketing departments, consulting firms
Industry UsageDeveloping AI models that understand context for automation and decision-makingInterpreting data, generating reports, providing insights for business strategies

Contextual Ai focuses on creating AI systems that understand and interpret context to improve automation and decision-making, often requiring advanced technical skills. Data Analysts analyze data to extract insights, supporting business decisions. While both roles work with data, Contextual Ai is more technical and development-oriented, whereas Data Analysts focus on data interpretation and reporting.

What does contextual AI do?

A role involving contextual AI focuses on developing and implementing artificial intelligence systems that understand and interpret information within specific contexts. This includes analyzing data, recognizing patterns, and adapting responses based on situational factors, often requiring skills in machine learning, natural language processing, and data analysis. Such work helps improve AI's relevance and accuracy in real-world applications.
More about Contextual Ai jobs

What cities are hiring for Contextual Ai jobs?

Cities with the most Contextual Ai job openings:

What states have the most Contextual Ai jobs?

States with the most job openings for Contextual Ai jobs include:

Infographic showing various Contextual Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Lead Engineer, Audience Data Platform

Hearst

New York, NY • Hybrid

$168K - $204K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Hearst rating

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

49th of 76 rated media


Job description

Be Part of What's Next 
We're looking for a Lead Engineer to help build and scale the next generation of our Audience Targeting and Contextual Intelligence Platform-a system that enables privacy-safe, contextually relevant advertising and deeper insights into audience engagement.

You'll be the technical owner of one or more applications in this ecosystem, designing scalable backend services, building data pipelines, and integrating with Hearst's core publishing platform. This is a full-stack engineering role where you'll collaborate with dedicated frontend engineers, data scientists, and platform teams to deliver impactful, AI-enabled advertising technology.

About Hearst Magazines (Why Us?)
Hearst Magazines' portfolio of more than 30 iconic brands in the U.S.-including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper's BAZAAR, and Popular Mechanics - inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world-and together, we are shaping what's next.

Key Responsibilities (What You Are Doing)

  • Lead the design and implementation of backend services and pipelines supporting contextual and audience targeting, taxonomy creation, and data ingestion.
  • Architect APIs, data models, and streaming workflows for real-time classification, recommendations, and audience insights.
  • Build and maintain Python-based (Quart/FastAPI) applications integrated with PostgreSQL, Redis, and event-driven architectures (AWS SNS/SQS).
  • Collaborate with and guide frontend engineers on full-stack development using React and modern web frameworks.
  • Integrate with core platform services for identity, metadata, and analytics to ensure seamless interoperability.
  • Design and manage multi-cloud infrastructure (primarily AWS, with GCP integrations for ML/data workflows).
  • Implement robust CI/CD, testing, and deployment pipelines.
  • Implement observability using Datadog, Sentry, and other monitoring tools.
  • Use modern AI development tools (e.g., GitHub Copilot, Codex, Claude) to accelerate delivery and improve code quality.
  • Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting.

Qualifications (What We're Looking For)

  • 8+ years of software engineering experience, with strong Python backend and full-stack development skills.
  • 3-5 years leading technical design or architecture for scalable, data-intensive applications.
  • Proficiency in PostgreSQL (including pgvector) and Redis for performance and caching.
  • Hands-on experience cloud-based development, primarily AWS (S3, RDS, SNS/SQS, Lambda); exposure to GCP (Pub/Sub, BigQuery).
  • Familiarity with Docker, Kubernetes, and modern CI/CD workflows.
  • Comfortable using AI-assisted development tools for productivity, testing, and documentation.
  • Excellent communication and cross-functional collaboration skills across technical and non-technical partners.
  • Hybrid role based in NYC, with 4 days a week in-office.

Nice to Have

  • Experience in building and maintaining taxonomy management systems.
  • Knowledge of contextual or audience targeting, ad-tech systems, or recommendation platforms.
  • Understanding of privacy-safe advertising, first-party data frameworks, and data-compliance standards (GDPR, CCPA).
  • Exposure to machine-learning workflows or AI-based personalization systems.
  • Experience with GraphQL, Elasticsearch.
  • Experience with observability stacks (Datadog, Sentry).

Benefits (What We Offer)

  • Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
  • Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
  • Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
  • Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
  • Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
  • Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.

The base salary for this role is between $168,000 - $204,000. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

Hearst is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.


What Hearst employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom