Search Jobs | Dice.com

228 results (10 new)

Group by company

AI Engineer

Velocity Search Group Inc.

New York, New York • 20d ago

Easy Apply

Full-time

$150000 - $170000

Lead Applied AI Engineer

Innova Solutions, Inc

New York, New York • 28d ago

Easy Apply

Contract

Depends on Experience

AI Engineer

SANS

Hybrid in New York, New York • Today

Easy Apply

Contract

Depends on Experience

AI Engineer

Alfvo, LLC

Hybrid in New York, New York • Today

Easy Apply

Contract

Depends on Experience

AI Engineer

NxT Level

New York, New York • Today

Full-time

Sr. Gen AI Engineer

Photon

New York, New York • 8d ago

Easy Apply

Full-time

Depends on Experience

Lead AI-ML Engineer (Generative AI & LLM)

Visionsoft International

New York, New York • 8d ago

Easy Apply

Contract

Depends on Experience

Applied AI Engineer (Summer Internship)

Balyasny Asset Management

New York, New York • Today

Full-time

Senior Software Engineer, AI (New York)

Fitch Group

New York, New York • 18d ago

Full-time

USD 140,000.00 - 150,000.00 per year

Senior Python Developer / AI-ML Engineer

Vertex Computer Systems

Hybrid in New York, New York • 18d ago

Easy Apply

Full-time

75 - 90

Senior AI Engineer, Banking Technology

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

AI Engineer 5 (GenAI Platform, Agentic Infrastructure)

Capital One

New York, New York • Today

Full-time

Lead AI/ML Engineer

S&P Global

New York, New York • 11d ago

Full-time

USD 149,302.00 - 209,000.00 per year

Onsite Position: Sr AI/LLM Engineer with Financial or Banking exp in NY (Local to NY)

Visionsoft International

New York, New York • 13d ago

Easy Apply

Contract, Third Party

Depends on Experience

Entry-Level AI Engineer / Data Scientist

NET2ASPIRE LLC

Jersey City, New Jersey • Today

Easy Apply

Contract

35000 - 50000

Macro AI Engineer

Balyasny Asset Management

New York, New York • Today

Full-time

AI/ML Engineer

ZT Systems

Secaucus, New Jersey • Today

Full-time

USD 105,000.00 - 154,000.00 per year

AI Engineer

4i Americas

Jersey City, New Jersey • 20d ago

Easy Apply

Contract

Depends on Experience

AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Senior Lead Software Engineer - AI/ML Developer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer

Motion Recruitment Partners, LLC

Roseland, New Jersey • Today

Easy Apply

Contract

$80

AI Engineer - Sr Lead Software Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Senior Staff AI Engineer - Global Infrastructure

American Express

New York, New York • Today

Full-time

USD 144,250.00 - 256,250.00 per year

Forward Deployed Engineer - AI

IBM

Paramus, New Jersey • Today

Full-time

Urgent Need: AI Engineer - Remote

Drevol LLC

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

AI Engineer

Brilliant Infotech Inc.

Edison, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Applied AI ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Principal Software Engineer (AI Platform) - Parametric

Morgan Stanley

New York, New York • Today

Full-time

USD 115,000.00 - 225,000.00 per year

AI Engineer

GDH

Remote • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

AI Field Engineer - Enterprise

Fireworks AI

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Job Details

Skills

Summary

Our client a leading asset management firm, located in New York City is looking to hire an AI Engineer to join their Business Technology and Data Team. This is a Full Time Position. Work will be conducted 3 days in office and 2 day from home. Citizens and those authorized to work in the U.S. are encouraged to apply. Qualified candidates should send their resumes (Word Format) along with salary expectations to .

SUMMARY
The AI Engineer will work closely with the Investment Research team to design, build, and support AI-enabled tools that improve research productivity, insight generation, knowledge discovery, and investment decision support. This role will partner with research analysts, portfolio teams, business technology, data, compliance, and operations stakeholders to identify high-value AI use cases and deliver practical, secure, and scalable AI products.
The ideal candidate has a strong AI/ML foundation and hands-on experience building AI products, including generative AI applications, retrieval-augmented generation, natural language processing, model evaluation, prompt engineering, data pipelines, and production-ready software engineering practices. The ideal candidate will support AI initiatives within the investment research area while helping establish reusable patterns, standards, and governance for responsible AI adoption.

RESPONSIBILITIES

Partner with the Investment Research team to identify, prioritize, and deliver AI use cases that support research workflows, knowledge management, document analysis, data analysis, and decision support.
Design and build AI products and tools, including generative AI assistants, research copilots, summarization tools, semantic search, document intelligence, workflow automation, and analytics-enabled applications.
Develop retrieval-augmented generation solutions using structured and unstructured data sources, including research notes, filings, earnings transcripts, market data, internal documents, and approved external content.
Build and maintain data ingestion, preprocessing, embedding, vector search, model orchestration, and evaluation pipelines to support reliable AI applications.
Apply strong AI/ML, natural language processing, and software engineering practices to design scalable, secure, maintainable, and user-friendly solutions.
Evaluate models, prompts, data sources, outputs, and user feedback to improve accuracy, relevance, explainability, and adoption of AI tools.
Collaborate with data architects, data engineers, application developers, infrastructure, cybersecurity, and compliance teams to integrate AI solutions with enterprise platforms and controls.
Implement responsible AI practices, including access controls, human-in-the-loop review, auditability, data privacy, model risk awareness, content validation, and appropriate usage guidelines.
Prototype quickly with business users, translate research needs into technical requirements, and move successful prototypes into supported production solutions.
Create documentation for AI solution architecture, data flows, model behavior, prompt patterns, evaluation results, operating procedures, and support processes.
Monitor emerging AI technologies, tools, frameworks, and investment research use cases, and recommend practical opportunities for adoption.
Provide ongoing support, troubleshooting, enhancements, and user training for AI tools deployed within the investment research area.

REQUIREMENTS

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field; Master's preferred.

3–5 years of experience in AI/ML engineering, applied ML, or software engineering, with at least one AI application running in production.
Retrieval-augmented generation (RAG) end to end: document chunking strategy, embedding models, vector search, hybrid and metadata-filtered retrieval, and measuring retrieval quality (recall@k, relevance evaluation sets).
Embeddings in practice: choosing and migrating between embedding models (e.g. OpenAI, Gemini, open-source), handling token and context limits, caching, and re-indexing large corpora without downtime.
Vector and relational databases: strong SQL and PostgreSQL, including pgvector or a comparable vector store (Qdrant, Weaviate, Milvus). Schema design for chunks, metadata, and multiple embedding versions.
LLM application engineering: prompt engineering, structured outputs, tool and function calling, agent workflows (including MCP or similar tool protocols), evaluation, and guardrails. Experience with Anthropic Claude and/or OpenAI APIs.
Production Python: batch pipelines that hold up at scale (memory-bounded processing, retries, API rate and token limits, idempotent re-runs), plus testing, version control (Git), logging, and clear documentation.
Unstructured financial documents: extracting and structuring SEC filings (10-K, 10-Q, 8-K, 20-F, 6-K), earnings-call transcripts, PDFs, and HTML, and cleaning messy enterprise data.
Data analysis: profiling, validating, and reconciling data from market-data providers (e.g. FactSet) and internal sources to support AI outputs.
Working with stakeholders works directly with portfolio managers and analysts to gather requirements, ships fast iterations, and explains AI trade-offs (accuracy, cost, latency) in plain language.
Governance: understands data privacy, security, and responsible AI in a regulated investment firm, including handling material non-public information (MNPI), access controls, auditability, and AI usage policy.

PREFERRED QUALIFICATIONS

Experience in investment management, equity research, or financial services.
Scheduling and operations for data pipelines (Windows Task Scheduler, cron, Airflow or similar), and deploying to Azure and/or IIS.
Building lightweight internal tools and dashboards (HTML/JavaScript, charting libraries) on top of AI pipelines.
Experience setting up governed self-service AI for business users, such as shared prompt projects and review-and-deploy workflows.
Familiarity with LLM cost monitoring and model-selection trade-offs.

KNOWLEDGE, SKILLS, AND ABILITIES

Product-oriented mindset with the ability to move from prototype to reliable enterprise solution.
Strong analytical, problem-solving, and critical-thinking skills with attention to accuracy, usability, and business value.
Ability to collaborate effectively with investment professionals, technology teams, data teams, and control functions.
Strong communication skills and the ability to explain AI capabilities, limitations, risks, and trade-offs to technical and non-technical audiences.
Curiosity and continuous learning orientation in a rapidly evolving AI technology landscape.
Strong documentation discipline, including solution design, testing results, support procedures, and user guidance.

Salary 160k

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80108439
Position Id: 26-00024
Posted 20 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

New York, New York

•

2d ago

Vatic is looking for an AI engineer with proven experience with large foundational models. Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research. As an AI Engineer you will: Pl

Full-time

USD 175,000.00 - 275,000.00 per year

AI Engineer

New York, New York

•

Today

An exciting Technology consultancy is looking to hire an AI EngineerWith experience building RAG, LLM, and Agentic AI About Our Client The company operates in the Technology space Job Description Design and develop AI solutions that address defined business and technical needs.Build, test, and refine AI models and related application components.Work with Technology team members to translate requirements into practical AI features.Evaluate model outputs and improve accuracy, reliability, and

Full-time

USD 150,000.00 - 175,000.00 per year

AI Engineer

New York, New York

•

Today

AI Engineer (GenAI Workflows for OTC Derivatives) Location: New York City (SoHo) - In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't fundamentally changed in decades-and this team is rebuilding that foundation with a modern stack, a delightful product experience, and an AI-native architecture. The founding team comes from trading, quantitative, and

Full-time

AI Engineer

Hybrid in New York, New York

•

Today

Experience: 8-10 years of object-oriented programming in Python with expert-level development skills. Experience with the AI/ML/GenAI lifecycle, development, and its ecosystem, including hands-on experience building frameworks using MLOps, fine-tuning techniques, and inference frameworks. Hands-on experience and knowledge of the generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking, and summarization. Expertise in application development in one or m

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Summary

Partner with the Investment Research team to identify, prioritize, and deliver AI use cases that support research workflows, knowledge management, document analysis, data analysis, and decision support.
Design and build AI products and tools, including generative AI assistants, research copilots, summarization tools, semantic search, document intelligence, workflow automation, and analytics-enabled applications.
Develop retrieval-augmented generation solutions using structured and unstructured data sources, including research notes, filings, earnings transcripts, market data, internal documents, and approved external content.
Build and maintain data ingestion, preprocessing, embedding, vector search, model orchestration, and evaluation pipelines to support reliable AI applications.
Apply strong AI/ML, natural language processing, and software engineering practices to design scalable, secure, maintainable, and user-friendly solutions.
Evaluate models, prompts, data sources, outputs, and user feedback to improve accuracy, relevance, explainability, and adoption of AI tools.
Collaborate with data architects, data engineers, application developers, infrastructure, cybersecurity, and compliance teams to integrate AI solutions with enterprise platforms and controls.
Implement responsible AI practices, including access controls, human-in-the-loop review, auditability, data privacy, model risk awareness, content validation, and appropriate usage guidelines.
Prototype quickly with business users, translate research needs into technical requirements, and move successful prototypes into supported production solutions.
Create documentation for AI solution architecture, data flows, model behavior, prompt patterns, evaluation results, operating procedures, and support processes.
Monitor emerging AI technologies, tools, frameworks, and investment research use cases, and recommend practical opportunities for adoption.
Provide ongoing support, troubleshooting, enhancements, and user training for AI tools deployed within the investment research area.

REQUIREMENTS

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field; Master's preferred.

3–5 years of experience in AI/ML engineering, applied ML, or software engineering, with at least one AI application running in production.
Retrieval-augmented generation (RAG) end to end: document chunking strategy, embedding models, vector search, hybrid and metadata-filtered retrieval, and measuring retrieval quality (recall@k, relevance evaluation sets).
Embeddings in practice: choosing and migrating between embedding models (e.g. OpenAI, Gemini, open-source), handling token and context limits, caching, and re-indexing large corpora without downtime.
Vector and relational databases: strong SQL and PostgreSQL, including pgvector or a comparable vector store (Qdrant, Weaviate, Milvus). Schema design for chunks, metadata, and multiple embedding versions.
LLM application engineering: prompt engineering, structured outputs, tool and function calling, agent workflows (including MCP or similar tool protocols), evaluation, and guardrails. Experience with Anthropic Claude and/or OpenAI APIs.
Production Python: batch pipelines that hold up at scale (memory-bounded processing, retries, API rate and token limits, idempotent re-runs), plus testing, version control (Git), logging, and clear documentation.
Unstructured financial documents: extracting and structuring SEC filings (10-K, 10-Q, 8-K, 20-F, 6-K), earnings-call transcripts, PDFs, and HTML, and cleaning messy enterprise data.
Data analysis: profiling, validating, and reconciling data from market-data providers (e.g. FactSet) and internal sources to support AI outputs.
Working with stakeholders works directly with portfolio managers and analysts to gather requirements, ships fast iterations, and explains AI trade-offs (accuracy, cost, latency) in plain language.
Governance: understands data privacy, security, and responsible AI in a regulated investment firm, including handling material non-public information (MNPI), access controls, auditability, and AI usage policy.

PREFERRED QUALIFICATIONS

Experience in investment management, equity research, or financial services.
Scheduling and operations for data pipelines (Windows Task Scheduler, cron, Airflow or similar), and deploying to Azure and/or IIS.
Building lightweight internal tools and dashboards (HTML/JavaScript, charting libraries) on top of AI pipelines.
Experience setting up governed self-service AI for business users, such as shared prompt projects and review-and-deploy workflows.
Familiarity with LLM cost monitoring and model-selection trade-offs.

KNOWLEDGE, SKILLS, AND ABILITIES

Product-oriented mindset with the ability to move from prototype to reliable enterprise solution.
Strong analytical, problem-solving, and critical-thinking skills with attention to accuracy, usability, and business value.
Ability to collaborate effectively with investment professionals, technology teams, data teams, and control functions.
Strong communication skills and the ability to explain AI capabilities, limitations, risks, and trade-offs to technical and non-technical audiences.
Curiosity and continuous learning orientation in a rapidly evolving AI technology landscape.
Strong documentation discipline, including solution design, testing results, support procedures, and user guidance.

Salary 160k

Dice Id: 80108439
Position Id: 26-00024
Posted 20 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

New York, New York

•

2d ago

Full-time

USD 175,000.00 - 275,000.00 per year

AI Engineer

New York, New York

•

Today

Full-time

USD 150,000.00 - 175,000.00 per year

AI Engineer

New York, New York

•

Today

Full-time

AI Engineer

Hybrid in New York, New York

•

Today

Easy Apply

Contract

Depends on Experience