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Technical Architect - ML - GenAI

Quantiphi Inc.

Remote • Today

Full-time

GenAI Technical Lead Architect with (.NET and Azure) Miami, FL, Hybrid

TESTINGXPERTS, INC. DBA DAMCOSOFT

Miami, Florida • Today

Easy Apply

Full-time

GenAI Ops Solution Architect

System One

Pittsburgh, Pennsylvania • 28d ago

Easy Apply

Contract

$150000

Senior Python AI/ML Engineer / GenAI Engineer

BCforward

Jersey City, New Jersey • Today

Easy Apply

Contract

$68.00 - $68.25 per hour

Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Empower Annuity Insurance Company of America

Remote • Today

Full-time

USD 125,400.00 - 181,875.00 per year

AI Architect (GenAI & Agentic AI)

StatusNeo Inc.

Charlotte, North Carolina • 2d ago

Easy Apply

Full-time

Depends on Experience

GenAI Solutions Architect

Goldenpick Technologies LLC

Remote • Today

Easy Apply

Third Party, Contract

$95 - $100

Principal Technical Architect - AI/ML

Snowflake Inc.

Remote or New York, New York • Today

Full-time

USD 196,000.00 - 257,200.00 per year

Senior AI/ML Architect - GenAI & Python

Apex Systems

Richmond, Virginia • Today

Easy Apply

Full-time

$65 - $70 per hour

Senior AI/ML Engineer – GenAI & Cloud Solutions (Healthcare)

Droisys

Los Angeles, California • 7d ago

Easy Apply

Contract

50 - 55

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

New York, New York • Today

Full-time

USD 215,200.00 - 245,600.00 per year

Lead Technical Architect AWS Cloud | .NET | Artificial Intelligence/Machine Language (AI/ML)

Donato Technologies Inc

Albany, New York • Today

Easy Apply

Contract

Depends on Experience

Mid-Senior GenAI / Machine Learning Engineer (Telecom Domain)

Brillfy Technology

Dallas, Texas • Yesterday

Easy Apply

Contract

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

New York, New York • Today

Full-time

Python-AI ML (GenAI) Senior Engineer

Stanley David and Associates

Phoenix, Arizona • 11d ago

Easy Apply

Full-time

110,000 - 130,000

Senior AI/ML Engineer GenAI & Cloud Solutions

Alpha Silicon

Los Angeles, California • Today

Easy Apply

Third Party

Manager, Data Science (GenAI Solutions & ML Engineering)

XPO Logistics

Boston, Massachusetts • Today

Full-time

USD 131,100.00 - 163,875.00 per year

AI/ML Solutions Architect

Up2date Technologies

Grand Rapids, Michigan • 2d ago

Easy Apply

Full-time

Depends on Experience

Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

Apple, Inc.

San Francisco, California • Today

Full-time

Senior ML/GenAI Ops Engineer - Milwaukee, WI

Harley-Davidson

Milwaukee, Wisconsin • Today

Full-time

USD 100,200.00 - 155,400.00 per year

Staff Machine Learning Engineer, Core Services Eng (GenAI)

Uber Corporate

San Francisco, California • 30+d ago

Full-time

USD 232,000.00 - 258,000.00 per year

Machine Learning Engineer, ML/GenAI Evaluation

Apple, Inc.

Austin, Texas • Today

Full-time

Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud

Apple, Inc.

Culver City, California • Today

Full-time

Machine Learning Engineer, GenAI Technology

Point72

New York, New York • Today

Full-time

USD 180,000.00 - 300,000.00 per year

Machine Learning Engineer, GenAI/ML - Vice President

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Machine Learning Engineer, GenAI/ML - Vice President

JPMorgan Chase & Co.

Plano, Texas • 7d ago

Full-time

Technical Lead, GenAI & Automation Engineering (Risk Engineering)

Freddie Mac

McLean, Texas • 23d ago

Full-time

USD 146,000.00 - 218,000.00 per year

Machine Learning Scientist 5 - GenAI for Games

Netflix, Inc.

Remote or Los Gatos, California • Today

Full-time

USD 466,000.00 - 750,000.00 per year

AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE)

Apple, Inc.

Austin, Texas • Today

Full-time

GenAI Software Development Architect

AMD (Advanced Micro Devices)

Santa Clara, California • Today

Full-time

USD 210,000.00 per year

Job Details

Skills

Microsoft Excel
Solution Architecture
Scalability
Prompt Engineering
Unstructured Data
Information Security Governance
Generative Artificial Intelligence (AI)
IT Management
Mentorship
Cloud Computing
Machine Learning (ML)
Training
Real-time
LangChain
Decision-making
Reasoning
Artificial Intelligence
Amazon Web Services
Amazon S3
API
Large Language Models (LLMs)
Vector Databases
Evaluation
Optimization
Microsoft Certified Professional
Management
Microsoft Windows
Workflow
Orchestration
Step-Functions
Amazon SageMaker
Collaboration
Development Testing
Deep Learning
BERT
Software Development
Communication
Continuous Integration
Continuous Delivery
Natural Language Processing
Semantics
Named-Entity Recognition (NER)

Microsoft Excel
Solution Architecture
Scalability
Prompt Engineering
Unstructured Data
Information Security Governance
Generative Artificial Intelligence (AI)
IT Management
Mentorship
Cloud Computing
Machine Learning (ML)
Training
Real-time
LangChain
Decision-making
Reasoning
Artificial Intelligence
Amazon Web Services
Amazon S3
API
Large Language Models (LLMs)
Vector Databases
Evaluation
Optimization
Microsoft Certified Professional
Management
Microsoft Windows
Workflow
Orchestration
Step-Functions
Amazon SageMaker
Collaboration
Development Testing
Deep Learning
BERT
Software Development
Communication
Continuous Integration
Continuous Delivery
Natural Language Processing
Semantics
Named-Entity Recognition (NER)

Summary

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Gen AI Architect (AWS)

Experience Level: 8+ Years

Work location: Remote (US)

Job Overview:

We are looking for a Generative AI Architect / Lead to design and deliver enterprise-grade GenAI solutions using AWS Bedrock and Agentcore. This role focuses on building scalable applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI workflows.

The ideal candidate will be a hands-on architect who can define solution architecture, guide teams, and actively contribute to development while ensuring performance, scalability, and cost efficiency.
Key Responsibilities:

Design and implement GenAI solutions using AWS Bedrock and Agentcore
Define architecture for LLM-based applications, including RAG pipelines and agentic workflows
Develop and orchestrate agentic AI workflows, enabling multi-step reasoning, tool usage, and task automation
Build and manage RAG pipelines, including embeddings, retrieval mechanisms, and vector databases
Integrate LLM capabilities into enterprise applications via APIs and backend services
Design and optimize prompt engineering strategies for accuracy, relevance, and performance
Work with structured and unstructured data sources to enable knowledge-driven AI applications
Ensure model evaluation, monitoring, and optimization for latency, cost, and response quality
Collaborate with application, data, and platform teams for end-to-end solution delivery
Define best practices for security, governance, and responsible AI usage
Troubleshoot and resolve issues in production GenAI systems
Provide technical leadership and mentor team members while remaining hands-on

Must have:

8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
Hands-on experience on AWS services. Proven experience using AWS Sagemaker and Bedrock leveraging different types of data sources, Training jobs, real-time and batch applications.
Design and implement agentic AI architectures using frameworks such as LangChain, Strand Agents etc., enabling autonomous task planning, decision-making, and multi-step reasoning.
Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications, including agent memory management, tool registry, and observability.
Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
Proficiency in working with LLM APIs (e.g., Claude, Nova, and other third-party LLM providers), including API integration,and multi-model orchestration strategies.
Hands-on experience fine-tuning or optimizing large language models (LLM)
Familiarity with LLM tool use, prompt templating and context management.
Strong expertise in Vector Databases, including indexing strategies, embedding generation, similarity search, and integration with RAG architectures.
Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
Experience implementing secure, scalable APIs and integrating with 3rd-party data sources and tools
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models, tokenization, embeddings.

Nice to have:

Experience with software development, exposure to frontend backend frameworks and communication protocols
Experience working on Infrastructure as Code (IaC) and CI/CD pipelines
Experience with NLP concepts: syntactic/semantic analysis, NER etc.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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: 91021860
Position Id: 7471c8c18decc892429aa30e2527a45b
Posted 2 hours ago

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Remote or Minnetonka, Minnesota

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Job Details

Skills

Microsoft Excel
Solution Architecture
Scalability
Prompt Engineering
Unstructured Data
Information Security Governance
Generative Artificial Intelligence (AI)
IT Management
Mentorship
Cloud Computing
Machine Learning (ML)
Training
Real-time
LangChain
Decision-making
Reasoning
Artificial Intelligence
Amazon Web Services
Amazon S3
API
Large Language Models (LLMs)
Vector Databases
Evaluation
Optimization
Microsoft Certified Professional
Management
Microsoft Windows
Workflow
Orchestration
Step-Functions
Amazon SageMaker
Collaboration
Development Testing
Deep Learning
BERT
Software Development
Communication
Continuous Integration
Continuous Delivery
Natural Language Processing
Semantics
Named-Entity Recognition (NER)

Microsoft Excel
Solution Architecture
Scalability
Prompt Engineering
Unstructured Data
Information Security Governance
Generative Artificial Intelligence (AI)
IT Management
Mentorship
Cloud Computing
Machine Learning (ML)
Training
Real-time
LangChain
Decision-making
Reasoning
Artificial Intelligence
Amazon Web Services
Amazon S3
API
Large Language Models (LLMs)
Vector Databases
Evaluation
Optimization
Microsoft Certified Professional
Management
Microsoft Windows
Workflow
Orchestration
Step-Functions
Amazon SageMaker
Collaboration
Development Testing
Deep Learning
BERT
Software Development
Communication
Continuous Integration
Continuous Delivery
Natural Language Processing
Semantics
Named-Entity Recognition (NER)

Summary

Design and implement GenAI solutions using AWS Bedrock and Agentcore
Define architecture for LLM-based applications, including RAG pipelines and agentic workflows
Develop and orchestrate agentic AI workflows, enabling multi-step reasoning, tool usage, and task automation
Build and manage RAG pipelines, including embeddings, retrieval mechanisms, and vector databases
Integrate LLM capabilities into enterprise applications via APIs and backend services
Design and optimize prompt engineering strategies for accuracy, relevance, and performance
Work with structured and unstructured data sources to enable knowledge-driven AI applications
Ensure model evaluation, monitoring, and optimization for latency, cost, and response quality
Collaborate with application, data, and platform teams for end-to-end solution delivery
Define best practices for security, governance, and responsible AI usage
Troubleshoot and resolve issues in production GenAI systems
Provide technical leadership and mentor team members while remaining hands-on

Must have:

8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
Hands-on experience on AWS services. Proven experience using AWS Sagemaker and Bedrock leveraging different types of data sources, Training jobs, real-time and batch applications.
Design and implement agentic AI architectures using frameworks such as LangChain, Strand Agents etc., enabling autonomous task planning, decision-making, and multi-step reasoning.
Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications, including agent memory management, tool registry, and observability.
Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
Proficiency in working with LLM APIs (e.g., Claude, Nova, and other third-party LLM providers), including API integration,and multi-model orchestration strategies.
Hands-on experience fine-tuning or optimizing large language models (LLM)
Familiarity with LLM tool use, prompt templating and context management.
Strong expertise in Vector Databases, including indexing strategies, embedding generation, similarity search, and integration with RAG architectures.
Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
Experience implementing secure, scalable APIs and integrating with 3rd-party data sources and tools
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models, tokenization, embeddings.

Nice to have:

Experience with software development, exposure to frontend backend frameworks and communication protocols
Experience working on Infrastructure as Code (IaC) and CI/CD pipelines
Experience with NLP concepts: syntactic/semantic analysis, NER etc.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Dice Id: 91021860
Position Id: 7471c8c18decc892429aa30e2527a45b
Posted 2 hours ago

Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Create job alert

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

Similar Jobs

Senior AI/ML Engineer - Remote

Remote or Minnetonka, Minnesota

•

Today

Full-time

USD 91,700.00 - 163,700.00 per year

Lead AI Engineer - Remote

Remote or Eden Prairie, Minnesota

•

Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer

Remote or Herndon, Virginia

•

Today

Full-time

Senior AI/ML Engineer

Remote or Eden Prairie, Minnesota

•

Today

Full-time

USD 120,100.00 - 214,500.00 per year