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Pinecone Vector Databases Jobs in Elgin, IL (NOW HIRING)

... vector database (Pinecone, Neo4j etc.). • Comfort designing and consuming REST APIs; understanding of authentication, rate limiting, and error handling. • Working knowledge of at least one major ...

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

Solid SQL and PostgreSQL skills; experience with PGVector or a comparable vector database (Pinecone, Neo4j etc.). * Comfort designing and consuming REST APIs; understanding of authentication, rate ...

... vector database (Pinecone, Neo4j etc.). • Comfort designing and consuming REST APIs; understanding of authentication, rate limiting, and error handling. • Working knowledge of at least one major ...

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

Solid SQL and PostgreSQL skills; experience with PGVector or a comparable vector database (Pinecone, Neo4j etc.). * Comfort designing and consuming REST APIs; understanding of authentication, rate ...

Principal, AI Engineer

Chicago, IL · On-site

$137.40 - $233.60/hr

... vector database (Pinecone, Neo4j etc.). • Comfort designing and consuming REST APIs; understanding of authentication, rate limiting, and error handling. • Working knowledge of at least one major ...

SolidSQLandPostgreSQLskills; experience withPGVectoror a comparable vector database (Pinecone, Neo4j etc.). Comfort designing and consumingREST APIs; understanding of authentication, rate limiting ...

Showing results 41-46

Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Elgin, IL?

For Pinecone Vector Databases jobs in Elgin, IL, the most frequently searched job titles are:

What cities near Elgin, IL are hiring for Pinecone Vector Databases jobs?

Cities near Elgin, IL with the most Pinecone Vector Databases job openings:

Principal, AI Engineer

Northern Trust

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

About Northern Trust
As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.
Job Description Summary
As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI platform powered by LLM's-powered on Azure AI Foundry, working across multiple model providers ( Claude / Anthropic, GPT / OpenAI, and others), applying modern AI design patterns (RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment.
Job Description
1. Lead development of a portfolio of client-facing AI capabilities and integration methods, embedding them into client front ends and interactive dashboards to ensure these capabilities are well aligned and meet required validation and responsible AI standards.
2. Develop and oversee business unit wise approach to integrate structured and unstructured data into NT's enterprise AI framework in collaboration with the AI architecture, AI engineering, and data platform engineering teams.
3. Develop and lead the practice of data pipeline engineering, rationalizing custom data integrations over time to establish common methods and approaches.
4. Architect and implement data pipelines that integrate structured and unstructured data from internal banking systems, external feeds, and cloud platforms for AI/ML use cases.
5. Drive our semantic architecture and engineering approach for Northern Trust intelligence to advance enterprise context engineering and architecture disciplines.
6. Collaborate with the AI consulting team, business units, data scientists, model risk teams, and other stakeholders to understand data requirements for AI models supporting key use cases such as portfolio management, quants & research, reconciliations, and customer intelligence; drive engineering specifications and delivery for these capabilities.
7. Ensure sound practices are executed to deliver and maintain metadata management, data lineage, and audit trails for AI data assets as development and data teams expand AI data access.
8. Provide leadership to multiple Technical Delivery teams to prioritize and refine critical data deliverables based on business use cases and high-value data assessments.
9. Work closely on vendor negotiations and guide data solutions with procurement and transformation teams to enable scalable consumption with favorable and appropriate terms and capabilities, including understanding support or vendor SLA requirements.
10. Provide guidance for regulatory compliance processes, audits, and internal reviews.
11. Act as End-to-End Data Integration Product Management Vision and Roadmap leader in support of AI transformation programs.
12. Support real-time and batch data ingestion from asset management vendor platforms i.e. Aladdin, Eagle, iCapital, and third-party APIs.
13. Optimize data workflows for performance, reliability, and cost-efficiency across hybrid cloud environments.
14. Partner with cybersecurity and compliance teams to ensure data privacy, encryption, and access controls are enforced.
15. Contribute to the development of enterprise-wide AI architecture standards and governance frameworks, ensuring secure and efficient data consumption.
16. Provide indirect leadership across lateral teams of data analysts focused on improving data accountability, access control, and user enablement.
17. Provide mentoring and coaching to senior, mid-level, and junior engineers, product managers, and architects; function as a team lead as required as the AI and AI data integration practice is scaled.
Knowledge
• Strong proficiency in Python, SQL, VS Code, GitHub Copilot, and data integration tools (e.g., SQL, Pyspark, experience with cloud platforms (Azure, AWS, GCP) and container architecture.
• Hands-on experience building LLM / GenAI applications production grade AI patterns like MCP, Agentic AI, RAG, NLP2SQL etc.
• Solid SQL and PostgreSQL skills; experience with PGVector or a comparable vector database (Pinecone, Neo4j etc.).
• Comfort designing and consuming REST APIs; understanding of authentication, rate limiting, and error handling.
• Working knowledge of at least one major model provider API-Anthropic (Claude) and/or OpenAI (GPT)-including prompt design, function/tool calling, and streaming.
• Experience with AI/ML frameworks and AI concepts.
• Familiarity with financial data providers (e.g., Bloomberg, Refinitiv, Factset etc.).
• Deep understanding of and asset management domain, data governance, regulatory compliance, and risk management in banking.
• Excellent communication and stakeholder management skills.
• Understanding of SQL, Oracle, Exadata, Snowflake, Data Bricks, etc..
• Understanding of development Languages: Python , .NET/C#, React, and Java
• Understanding of operating systems: Unix/BASH Shell, Windows, Linux OS
• Proficient in generative AI and LLM data preparation for financial use cases.
Experience
• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in data engineering or integration, preferably in financial services or banking.
Salary Range:
$137,400 - 233,600 USD
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.
Work Authorization
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Working with Us
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.
Philanthropy is deeply rooted in Northern Trust's history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
Reasonable Accommodation
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com , or alternatively you can discuss your individual requirements with the recruiter you are working with.

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