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Senior Generative AI Engineer

Salesforce

Plano, Texas • Today

Full-time

Sr Generative AI Scientist II - (Model Risk)

Cotiviti

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Senior Generative AI Solutions Architect

LTM

Remote • 12d ago

Easy Apply

Full-time

107720 - 150000

Senior Generative AI Python Engineer

EPAM Systems

Remote • Today

Full-time

Senior Generative AI Application Engineer, Learning & Development (R5856)

Shield AI Inc

Dallas, Texas • Today

Full-time

USD 160,000.00 - 250,000.00 per year

Senior Generative AI Engineer

Citi

New York, New York • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Applied Machine Learning Scientist II (AI/ML - Model Validation, GenAI & Agentic AI)

TD Bank Group

New York, New York • 30+d ago

Full-time

USD 96,130.00 - 155,950.00 per year

Senior Data Scientist II

Zip Co Limited

No location provided • Today

Full-time

USD 162,000.00 - 203,000.00 per year

AI Research Scientist II

Axon

Seattle, Washington • Today

Full-time

USD 139,500.00 - 223,200.00 per year

Senior AI Engineer - Generative AI & Agentic Systems

Incedo Inc

Hybrid in Pittsburgh, Pennsylvania • 7d ago

Easy Apply

Full-time

140000 - 145000

Senior Solutions Architect II (AI/ML)

DigitalOcean

San Francisco, California • Today

Full-time

USD 100,000.00 - 120,000.00 per year

Senior AI Engineer: Generative AI, Agentic AI & RAG

Nimara Ventures Pvt Ltd

Remote • 14d ago

Easy Apply

Contract

45 - 55

Generative AI Engineering Lead - Senior Vice President

Citi

Rutherford, New Jersey • Today

Full-time

Compensation information provided in the description

Generative AI Engineering Lead - Senior Vice President

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Senior AI / ML Engineer - Generative AI & Azure

EPAM Systems

Houston, Texas • Today

Full-time

Senior Manager, Generative AI Engineer

Horizontal Talent

Boston, Massachusetts • Today

Full-time

Compensation information provided in the description

Senior Solutions Architect II, AI/ML

DigitalOcean

New York, New York • Today

Full-time

USD 150,000.00 - 186,000.00 per year

Senior AI Architect - Generative AI

GE Vernova

Greenville, South Carolina • Today

Full-time

USD 113,200.00 - 188,800.00 per year

Oracle Generative AI Senior Consultant

Deloitte

Atlanta, Georgia • 6d ago

Full-time

USD 110,700.00 - 218,300.00 per year

Senior AI/ML Engineer - Generative AI for Software Development

GE Aerospace

Grand Rapids, Michigan • Today

Full-time

USD 130,000.00 - 173,000.00 per year

Generative AI Senior Delivery Lead

Citi

Tampa, Florida • 20d ago

Full-time

USD 141,440.00 - 212,160.00 per year

Principal Generative AI Engineering Lead - Senior Vice President

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Senior/Principal Local LLM & Generative AI Platform Engineer

Parallel Wireless

Remote • Today

Full-time

Senior AI Scientist

Edward Jones

Tempe, Arizona • Today

Full-time

Senior AI Scientist

Edward Jones

St. Louis, Missouri • Today

Full-time

Senior Applied AI & Data Scientist

Talent Groups

Remote • 5d ago

Easy Apply

Full-time

160000 - 165000

Senior Scientist - Artificial Intelligence

GE Vernova

Niskayuna, New York • Today

Full-time

USD 113,200.00 - 188,800.00 per year

AI & GenAI Data Scientist - Senior Manager

PricewaterhouseCoopers LLP

New York, New York • Today

Full-time

USD 124,000.00 - 280,000.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Job Details

Skills

Software Engineering
MongoDB
NoSQL
Database Design
Data Modeling
Management
Cloud Computing
Semantic Search
Large Language Models (LLMs)
Language Models
Prompt Engineering
Optimization
Performance Analysis
LangChain
LlamaIndex
Regulatory Compliance
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Agile
Product Development
Microservices
Python
Workflow
Orchestration
Evaluation
Collaboration
Product Engineering
Use Cases
Semantics
Neo4j
Graph Databases
Vector Databases
Artificial Intelligence
Kubernetes
Docker
GitHub
Microsoft Azure
DevOps
Generative Artificial Intelligence (AI)

Software Engineering
MongoDB
NoSQL
Database Design
Data Modeling
Management
Cloud Computing
Semantic Search
Large Language Models (LLMs)
Language Models
Prompt Engineering
Optimization
Performance Analysis
LangChain
LlamaIndex
Regulatory Compliance
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Agile
Product Development
Microservices
Python
Workflow
Orchestration
Evaluation
Collaboration
Product Engineering
Use Cases
Semantics
Neo4j
Graph Databases
Vector Databases
Artificial Intelligence
Kubernetes
Docker
GitHub
Microsoft Azure
DevOps
Generative Artificial Intelligence (AI)

Summary

Required Qualifications

Core Software Engineering

8+ years of experience in software engineering with strong expertise in Python.
Hands-on experience designing and developing microservices-based architectures using FastAPI or similar Python frameworks.
Experience building scalable, secure, and production-grade APIs.

Cloud & Data Platforms

Strong experience with Microsoft Azure, including AI, data, and application services.
Expertise in MongoDB and NoSQL database design, optimization, and data modeling.
Experience deploying and managing cloud-native applications and containerized workloads.

Generative AI & Agentic Systems

Proven experience developing Generative AI solutions using modern LLM frameworks.
Hands-on experience building AI Agents, multi-agent systems, and autonomous workflows.
Strong understanding of Retrieval-Augmented Generation (RAG) architectures, including:
- Knowledge RAG
- Graph RAG
- Hybrid retrieval systems
- Context-aware retrieval pipelines
Experience designing enterprise knowledge bases, semantic search solutions, and context-building frameworks.

Large Language Models

Strong understanding of Large Language Models (LLMs) and Small Language Models (SLMs).
Experience with model selection, prompt engineering, grounding strategies, fine-tuning approaches, and inference optimization.
Familiarity with model performance, latency, cost optimization, and governance considerations.

AI Evaluation & Observability

Hands-on experience implementing Agentic Evaluation frameworks, including tools such as DeepEval.
Experience designing evaluation metrics for:
- Retrieval quality
- Hallucination detection
- Answer relevance
- Agent task completion
- Safety and reliability
Experience with AI observability and monitoring platforms, particularly Arize AI, for production monitoring, tracing, and model performance analysis.

Preferred Qualifications

Experience with vector databases and embedding models.
Familiarity with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.
Experience building enterprise AI applications with governance, security, and compliance considerations.
Knowledge of MLOps/LLMOps practices, CI/CD pipelines, and model lifecycle management.
Experience working in Agile product development environments.

Key Responsibilities

Design and develop scalable AI-powered microservices and APIs using Python and FastAPI.
Build and maintain enterprise-grade RAG and Graph RAG solutions.
Develop intelligent agentic workflows that leverage organizational knowledge and business context.
Optimize knowledge retrieval, context orchestration, and response quality for AI applications.
Implement evaluation frameworks and monitoring solutions using DeepEval and Arize.
Deploy, monitor, and maintain AI applications on Azure.
Collaborate with product, engineering, and business teams to translate use cases into production-ready AI solutions.

Must have existing hands on experience

Azure AI Foundry
Azure OpenAI Service
Semantic Kernel
LangGraph
Neo4j or Graph Databases
Vector Databases (Azure AI Search, Pinecone, Weaviate, Qdrant)
Kubernetes and Docker
GitHub Actions / Azure DevOps

This version is targeted at a Senior Generative AI Engineer (7-10+ years of experience).

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: RTL155990
Position Id: b001b8a913bb2779e0167cc78f984a31
Posted 30+ days ago

Fitment

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Gen AI Engineer

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Generative AI EngineerJob DescriptionWe are looking for a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern machine learning technologies. The ideal candidate should have hands-on experience building scalable AI solutions and integrating them into enterprise applications. Key ResponsibilitiesDesign and develop Generative AI applications using LLMs such as GPT, Claude, or Gemin

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Gen AI Engineer

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5d ago

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Job Details

Skills

Software Engineering
MongoDB
NoSQL
Database Design
Data Modeling
Management
Cloud Computing
Semantic Search
Large Language Models (LLMs)
Language Models
Prompt Engineering
Optimization
Performance Analysis
LangChain
LlamaIndex
Regulatory Compliance
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Agile
Product Development
Microservices
Python
Workflow
Orchestration
Evaluation
Collaboration
Product Engineering
Use Cases
Semantics
Neo4j
Graph Databases
Vector Databases
Artificial Intelligence
Kubernetes
Docker
GitHub
Microsoft Azure
DevOps
Generative Artificial Intelligence (AI)

Software Engineering
MongoDB
NoSQL
Database Design
Data Modeling
Management
Cloud Computing
Semantic Search
Large Language Models (LLMs)
Language Models
Prompt Engineering
Optimization
Performance Analysis
LangChain
LlamaIndex
Regulatory Compliance
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Agile
Product Development
Microservices
Python
Workflow
Orchestration
Evaluation
Collaboration
Product Engineering
Use Cases
Semantics
Neo4j
Graph Databases
Vector Databases
Artificial Intelligence
Kubernetes
Docker
GitHub
Microsoft Azure
DevOps
Generative Artificial Intelligence (AI)

Summary

Required Qualifications

Core Software Engineering

8+ years of experience in software engineering with strong expertise in Python.
Hands-on experience designing and developing microservices-based architectures using FastAPI or similar Python frameworks.
Experience building scalable, secure, and production-grade APIs.

Cloud & Data Platforms

Strong experience with Microsoft Azure, including AI, data, and application services.
Expertise in MongoDB and NoSQL database design, optimization, and data modeling.
Experience deploying and managing cloud-native applications and containerized workloads.

Generative AI & Agentic Systems

Proven experience developing Generative AI solutions using modern LLM frameworks.
Hands-on experience building AI Agents, multi-agent systems, and autonomous workflows.
Strong understanding of Retrieval-Augmented Generation (RAG) architectures, including:
- Knowledge RAG
- Graph RAG
- Hybrid retrieval systems
- Context-aware retrieval pipelines
Experience designing enterprise knowledge bases, semantic search solutions, and context-building frameworks.

Large Language Models

Strong understanding of Large Language Models (LLMs) and Small Language Models (SLMs).
Experience with model selection, prompt engineering, grounding strategies, fine-tuning approaches, and inference optimization.
Familiarity with model performance, latency, cost optimization, and governance considerations.

AI Evaluation & Observability

Hands-on experience implementing Agentic Evaluation frameworks, including tools such as DeepEval.
Experience designing evaluation metrics for:
- Retrieval quality
- Hallucination detection
- Answer relevance
- Agent task completion
- Safety and reliability
Experience with AI observability and monitoring platforms, particularly Arize AI, for production monitoring, tracing, and model performance analysis.

Preferred Qualifications

Experience with vector databases and embedding models.
Familiarity with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.
Experience building enterprise AI applications with governance, security, and compliance considerations.
Knowledge of MLOps/LLMOps practices, CI/CD pipelines, and model lifecycle management.
Experience working in Agile product development environments.

Key Responsibilities

Design and develop scalable AI-powered microservices and APIs using Python and FastAPI.
Build and maintain enterprise-grade RAG and Graph RAG solutions.
Develop intelligent agentic workflows that leverage organizational knowledge and business context.
Optimize knowledge retrieval, context orchestration, and response quality for AI applications.
Implement evaluation frameworks and monitoring solutions using DeepEval and Arize.
Deploy, monitor, and maintain AI applications on Azure.
Collaborate with product, engineering, and business teams to translate use cases into production-ready AI solutions.

Must have existing hands on experience

Azure AI Foundry
Azure OpenAI Service
Semantic Kernel
LangGraph
Neo4j or Graph Databases
Vector Databases (Azure AI Search, Pinecone, Weaviate, Qdrant)
Kubernetes and Docker
GitHub Actions / Azure DevOps

This version is targeted at a Senior Generative AI Engineer (7-10+ years of experience).

Dice Id: RTL155990
Position Id: b001b8a913bb2779e0167cc78f984a31
Posted 30+ 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

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