ZipRecruiter

Log In

1

Haystack Jobs in Illinois (NOW HIRING)

Cloudera

AI Solutions Architect

Virginia, IL · Remote

Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a ...

All JobsHaystack JobsHaystack Jobs in Illinois

Haystack information

See Illinois salary details

$5

$14

$16

How much do haystack jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for haystack in Illinois is $14.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $15.82 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working with Haystack in a data engineering role?

Professionals using Haystack in data engineering often encounter challenges related to integrating the framework with various data sources, ensuring efficient document indexing, and optimizing retrieval pipelines for speed and relevance. Collaboration with machine learning engineers and backend developers is common, as teams work together to deploy and maintain scalable Q&A or search systems. Staying updated with new features and best practices in Haystack is crucial for overcoming technical hurdles and maximizing the effectiveness of search applications.

What is the company Haystack?

Haystack is a company that provides a platform for building and deploying AI-powered search and data retrieval solutions. It focuses on enabling organizations to create scalable, customizable search experiences using tools like natural language processing and machine learning.

What is the difference between Haystack vs Search Engineer?

AspectHaystackSearch Engineer
Required CredentialsRelevant certifications in search technologies, programming, and data managementSimilar certifications, often including computer science or information retrieval degrees
Work EnvironmentTypically in tech companies, focusing on search solutions and data retrieval systemsInvolves designing, developing, and optimizing search algorithms and infrastructure
Employer & Industry UsageUsed by companies implementing search features in apps or websitesEmployed in tech firms, e-commerce, and data-driven organizations
Common Search & Comparison IntentPeople compare roles related to search technology and data retrievalIndividuals seeking roles in search system development and optimization

While both roles involve working with search technologies, Haystack typically refers to a framework or tool used for building search systems, whereas Search Engineer is a professional role focused on designing and maintaining search solutions. Understanding these differences helps job seekers identify the right opportunities in the search industry.

What is Haystack for jobs?

Haystack is a platform that helps job seekers find relevant job opportunities by aggregating listings from various sources. It often involves tools for resume building, job matching, and application tracking to streamline the job search process.

What are haystackers and what do they do?

A haystacker is a type of agricultural worker or machine operator responsible for gathering, stacking, and storing hay after it has been cut and dried in the field. Traditionally, haystackers manually built large stacks of hay to preserve it for animal feed, but today, the term can also refer to those who operate mechanized haystacking equipment. Their main tasks include collecting hay from the fields, forming stacks or bales, and ensuring that the hay is stored properly to prevent spoilage. This role is essential on farms that rely on hay as feed for livestock, especially in regions where winter feeding is necessary.

Is Haystack a good company to work for?

Haystack is a technology company that develops data management and search solutions, often employing roles related to software development, data analysis, and engineering. The company's work environment and employee satisfaction can vary, so researching reviews and company culture is recommended for potential applicants.

What are the key skills and qualifications needed to thrive as a Haystack Engineer, and why are they important?

To thrive as a Haystack Engineer, you need strong skills in Python programming, natural language processing (NLP), and experience with search frameworks, typically supported by a degree in computer science or a related field. Familiarity with the Haystack open-source framework, REST APIs, Elasticsearch, and cloud infrastructure is commonly required. Excellent problem-solving abilities, analytical thinking, and clear communication help you collaborate effectively and design robust search solutions. These skills ensure the development of efficient, scalable NLP applications that meet user and business needs.

What job makes $10,000 a month without a degree?

A haystack is not a job title; however, high-paying jobs that can reach $10,000 a month without a degree include roles like real estate agents, sales managers, or skilled trades such as electricians and plumbers. Success in these fields often depends on experience, skills, and certifications rather than formal education.
What are popular job titles related to Haystack jobs in Illinois? For Haystack jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Haystack jobs in Illinois look for? The top searched job categories for Haystack jobs in Illinois are:
What cities in Illinois are hiring for Haystack jobs? Cities in Illinois with the most Haystack job openings:
Haystack jobs near you
Infographic showing various Haystack job openings in Illinois as of June 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $30,496 per year, or $14.7 per hour.
AI Solutions Architect

AI Solutions Architect

Cloudera

Virginia, IL • Remote

Full-time

PTO

Posted 14 days ago

Job description

Business Area:

Professional Services

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).

This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.

As the AI Solutions Engineer you will:

1. AI Model Strategy, Selection and Implementation

  • Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.

  • Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.

  • Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).

2. End-to-End Data Engineering

  • Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats.

  • Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.

  • Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.

3. Optimization & Performance Tuning

  • Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).

  • Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.

4. Public Sector Advisory & Governance

  • Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.

  • Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.

We're excited about you if you have: (Minimum Qualifications):

  • Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.

  • Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).

    • Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.

    • Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.

    • Experience developing visual data representations and dashboards (Django, React, or Angular)

    • Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)

  • Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).

  • Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).

  • Active Top Secret Security Clearance

You may also have: (Preferred Qualifications)

  • Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.

  • Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.

  • Experience installing and operating Cloudera Data Platform

  • Experience installing and operating Kubernetes

  • Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.

  • Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.

  • Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred.

This role is not eligible for immigration sponsorship.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-MH2

#LI-Remote

Apply