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Ai Data Developer Jobs in Kentucky (NOW HIRING)

$137 - $234/hr

Architect and implement data pipelines that integrate structured and unstructured data from ... AI/ML use cases. * Drive our semantic architecture and engineering approach for Northern Trust ...

New

Brands is seeking a strategic and technically accomplished Director to lead the Data Architecture, Engineering, and Operations functions within the AI, Data & Analytics organization. This role is ...

$137 - $234/hr

Own the technical vision and control strategy for AI and Copilot data protection, not just ... Track delivery and technical debt using Azure DevOps, establishing transparency and accountability.

$125 - $135/hr

Data Engineering & Pipeline Development*** Build and maintain ETL/ELT pipelines that feed analytics and AI use cases* Ingest and transform data from multiple source systems into centralized platforms*

$150 - $278/hr

Software Engineer (Framework Solutions), AI & Data Platforms (AiDP) Sunnyvale, California, United States Software and Services Apple is where individual imaginations gather together, committing to ...

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$100 - $150/hr

Evaluate emerging AI approaches, including agent-based and multi-agent systems, for applicable ... CyrusOne is a leading global data center developer and operator specializing in delivering ...

New

$100 - $145/hr

AI/ML tools and agent-based consumers* Implement and evolve **RBAC / policy-based access models ... Data Developer Experience*** Improve platform usability for engineers, analysts, and data ...

$188 - $235/hr

Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. * Lead the development of AI ...

$111 - $257/hr

NTT DATA Services NTT DATA strives to hire exceptional, innovative and passionate individuals who ... The AI Consultant partners with AI Architects, Forward-Deployed Engineering, Delivery, Sellers ...

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$176 - $264/hr

From Apple Pay to the Apple website to our data centers around the globe, you'll help design and ... Description We are looking for an Engineering Project Manager (EPM), who will be instrumental in ...

$124 - $171/hr

Integrating AI models into software pipelines* Assisting on data ETLs and deployment to cloud ... programming languagesOR* High School Diploma/GED from AND 11 years of software development ...

$155 - $200/hr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to ...

$180 - $225/hr

We power mission-critical workflows for leading enterprises, helping teams turn complex data and ... You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams ...

$194 - $212/hr

You'll have the opportunity to work on technologies powering next-generation GPU clusters and AI data centers while learning from experienced engineers in a fast-paced startup environment.

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$200 - $250/hr

The Principal Architect works across data engineering, data visualization, data governance, and AI rather than within a single technical area. On large, multi-disciplinary engagements, this role ...

$180 - $260/hr

We engineer scalable and efficient data pipelines and provide curated data products that give ... We work side by side with partner teams--AI, Data Science, and Business Systems--to deliver high ...

$96 - $103/hr

... AI and Data Intelligence initiatives. This hybrid "player-coach" role is critical for providing both high-level architectural guidance and hands‑on engineering expertise across multiple concurrent ...

$228 - $240/hr

Data Engineering & Shared Platforms * Lead enterprise data engineering and platform teams ... Enable business-led AI use cases through shared platforms, tooling, and policies rather than ...

Showing results 21-40

Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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$137 - $234/hr

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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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