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AWS AI Architect

V-Work Infotech Solutions INC

Remote or Hybrid in Gainesville, Florida • Today

Easy Apply

Contract

65 - 70

AWS and KIRO AI - Resource - Remote in USA

K Anand Corporation

Remote • Today

Easy Apply

Contract

Depends on Experience

Lead Engineer, Full Stack Platform Engineer (Agentic AI AWS Dynamo AWS Elastic Search AWS Event Bridge AWS Kinesis AWS Lambda AWS Open Search AWS S3 AWS SNS/SQS JavaScript ES6 node)

Sun Technologies,Inc.

Remote • Today

Easy Apply

Contract

70 - 85

Delivery Manager- AI and AWS Experience

3S Business Corporation Inc.

Remote • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

AWS Architect

Teqdata

Remote • 3d ago

Easy Apply

Contract

60 - 70

DeliveryManager(Must Have-AWS-AI)

3S Business Corporation Inc.

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI Engineer with AWS Bedrock

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer with AWS Bedrock

EPAM Systems

Remote • Today

Full-time

AWS Data Engineer (Exp- 14+ Years) with AI Exp-Full time-Remote

Visionary Innovative Technology Solutions

Remote • 9d ago

Easy Apply

Full-time

Depends on Experience

Senior Full Stack AI Engineer (Python, React & AWS)

QUANTUM TECHNOLOGIES LLC

Remote • 3d ago

Easy Apply

Contract

$70 - $90

Senior AI Agent Developer with AWS, Databricks

EPAM Systems

Remote • Today

Full-time

AWS AI/ML Technical Practice Lead

Quantiphi Inc.

Remote • Today

Full-time

Data Scientist (US independent on W2/1099, AI/ML, Python, AWS)

Fervorly

Remote • 7d ago

Easy Apply

Contract

55 - 65

AWS Along KIRO AI

K Anand Corporation

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Back End Software Developer (AI, Java, Vert.x, AWS) - Remote US

Revvity

Remote or Waltham, Massachusetts • Today

Full-time

USD 130,000.00 - 158,000.00 per year

AI Solutions Architect

AspireIT Solutions

Remote • 14d ago

Easy Apply

Third Party, Contract

$80 - $85

AI SOLUTION ARCHITECT

Source Code Technologies LLC

Remote • 15d ago

Easy Apply

Full-time, Third Party

200000+

OH - Lead AI Engineer (Google CCAI, MS Foundry, AWS) - Remote - 808940

SR International Inc.

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

AI Architect

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

USD 80.00 - 90.00 per hour

Agentic AI/ML Architect

Photon

Remote • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Agentic AI Forward Deployment Engineer / Architect

Photon

Remote • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Architect, Enterprise AI

Navitus Health Solutions

Remote • Today

Full-time

USD 124,140.15 - 170,000.00 per year

AI Cloud Architect

Crowdplum Global Services LLC

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Solutions Architect - AI/ML - Services Delivery

Snowflake Inc.

Remote or North Carolina • Today

Full-time

USD 160,000.00 - 210,000.00 per year

AI Architect

Stride, Inc

Remote • Today

Full-time

USD 113,073.75 - 200,000.00 per year

Principal AI Engineering Architect

Robots and Pencils

Remote • Today

Full-time

USD 180,375.00 - 230,625.00 per year

Senior AI Solutions Architect (RapidScale)

Cox Communications

Remote • Today

Full-time

USD 129,400.00 - 194,000.00 per year

AI Architect

Daman Consulting

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

AI Architect

Merlin Solutions LLC

Remote or Hybrid in Houston, Texas • 28d ago

Easy Apply

Contract

Depends on Experience

AI Architect

Momento USA LLC

Remote • 8d ago

Easy Apply

Third Party, Contract

$70 - $75

Job Details

Skills

Machine Learning Operations (ML Ops)
Document Processing
Generative Artificial Intelligence (AI)
Continuous Integration
Database
Decision-making
Amazon Web Services
Artificial Intelligence
Continuous Delivery
Docker
Prompt Engineering
Scalability
Semantic Search
Software Engineering
Machine Learning (ML)
Microservices
Orchestration
Python
Evaluation
Kubernetes
LangChain
LlamaIndex
Mentorship
Training
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Cloud Security
Git
API
Vector Databases
Virtual Private Cloud
Workflow

Machine Learning Operations (ML Ops)
Document Processing
Generative Artificial Intelligence (AI)
Continuous Integration
Database
Decision-making
Amazon Web Services
Artificial Intelligence
Continuous Delivery
Docker
Prompt Engineering
Scalability
Semantic Search
Software Engineering
Machine Learning (ML)
Microservices
Orchestration
Python
Evaluation
Kubernetes
LangChain
LlamaIndex
Mentorship
Training
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Cloud Security
Git
API
Vector Databases
Virtual Private Cloud
Workflow

Summary

Key Responsibilities

Design and implement AI/ML solutions on AWS for enterprise-scale applications.
Build and deploy Generative AI, LLM, RAG, and AI Agent solutions.
Architect AI platforms using Amazon Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and OpenSearch.
Develop scalable Python-based AI/ML services, REST APIs, and microservices.
Implement RAG pipelines using embeddings, vector databases, document processing, and semantic search.
Build AI agents and agentic workflows with tool calling, orchestration, planning, and autonomous decision-making.
Integrate LLMs with enterprise applications, databases, APIs, and business workflows.
Design MLOps/LLMOps pipelines for model training, evaluation, deployment, monitoring, and governance.
Implement AWS security using IAM, KMS, Secrets Manager, VPC, CloudTrail, GuardDuty, and related services.
Optimize AI workloads for performance, scalability, reliability, and cost.
Lead technical discussions with architects, engineering teams, product teams, and business stakeholders.
Mentor senior engineers and establish AI engineering best practices.

Required Skills

10+ years of software engineering / AI / ML experience.
Strong Python development experience.
Hands-on AWS experience with:
- Amazon Bedrock
- Amazon SageMaker
- AWS Lambda
- ECS / EKS
- S3
- DynamoDB
- OpenSearch
- API Gateway
- CloudWatch
- IAM
Strong experience with Generative AI and LLMs.
Experience with RAG architecture, embeddings, vector databases, prompt engineering, and LLM evaluation.
Experience with LangChain, LlamaIndex, or similar AI frameworks.
Knowledge of OpenAI, Anthropic Claude, Llama, or other foundation models.
Experience developing REST APIs and microservices.
Strong knowledge of Docker, Kubernetes, CI/CD, Git, and Infrastructure as Code.
Experience with ML pipelines, MLOps, model monitoring, and production deployment.
Strong understanding of AWS architecture and cloud security.

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: 91138713
Position Id: 9055331
Posted 15 hours ago

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

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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)

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AI/ML Solution Architect – Generative AI & Agentic AI

Remote

•

3d ago

AI/ML Solution Architect Generative AI & Agentic AI - FulltimeDomain: Healthcare & Life Sciences | Generative AI | Agentic AI | Machine Learning Experience: 1015 years with strong AI/ML Architecture and AWS experience Role Overview We are looking for a hands-on AI/ML Solution Architect to design and deliver enterprise-grade Generative AI and Agentic AI solutions on AWS. The role will translate complex business requirements into scalable architectures, technical designs, and production-ready sol

Easy Apply

Full-time, Third Party

0 - 0

Job Details

Skills

Machine Learning Operations (ML Ops)
Document Processing
Generative Artificial Intelligence (AI)
Continuous Integration
Database
Decision-making
Amazon Web Services
Artificial Intelligence
Continuous Delivery
Docker
Prompt Engineering
Scalability
Semantic Search
Software Engineering
Machine Learning (ML)
Microservices
Orchestration
Python
Evaluation
Kubernetes
LangChain
LlamaIndex
Mentorship
Training
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Cloud Security
Git
API
Vector Databases
Virtual Private Cloud
Workflow

Machine Learning Operations (ML Ops)
Document Processing
Generative Artificial Intelligence (AI)
Continuous Integration
Database
Decision-making
Amazon Web Services
Artificial Intelligence
Continuous Delivery
Docker
Prompt Engineering
Scalability
Semantic Search
Software Engineering
Machine Learning (ML)
Microservices
Orchestration
Python
Evaluation
Kubernetes
LangChain
LlamaIndex
Mentorship
Training
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Cloud Security
Git
API
Vector Databases
Virtual Private Cloud
Workflow

Summary

Key Responsibilities

Design and implement AI/ML solutions on AWS for enterprise-scale applications.
Build and deploy Generative AI, LLM, RAG, and AI Agent solutions.
Architect AI platforms using Amazon Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and OpenSearch.
Develop scalable Python-based AI/ML services, REST APIs, and microservices.
Implement RAG pipelines using embeddings, vector databases, document processing, and semantic search.
Build AI agents and agentic workflows with tool calling, orchestration, planning, and autonomous decision-making.
Integrate LLMs with enterprise applications, databases, APIs, and business workflows.
Design MLOps/LLMOps pipelines for model training, evaluation, deployment, monitoring, and governance.
Implement AWS security using IAM, KMS, Secrets Manager, VPC, CloudTrail, GuardDuty, and related services.
Optimize AI workloads for performance, scalability, reliability, and cost.
Lead technical discussions with architects, engineering teams, product teams, and business stakeholders.
Mentor senior engineers and establish AI engineering best practices.

Required Skills

10+ years of software engineering / AI / ML experience.
Strong Python development experience.
Hands-on AWS experience with:
- Amazon Bedrock
- Amazon SageMaker
- AWS Lambda
- ECS / EKS
- S3
- DynamoDB
- OpenSearch
- API Gateway
- CloudWatch
- IAM
Strong experience with Generative AI and LLMs.
Experience with RAG architecture, embeddings, vector databases, prompt engineering, and LLM evaluation.
Experience with LangChain, LlamaIndex, or similar AI frameworks.
Knowledge of OpenAI, Anthropic Claude, Llama, or other foundation models.
Experience developing REST APIs and microservices.
Strong knowledge of Docker, Kubernetes, CI/CD, Git, and Infrastructure as Code.
Experience with ML pipelines, MLOps, model monitoring, and production deployment.
Strong understanding of AWS architecture and cloud security.

Dice Id: 91138713
Position Id: 9055331
Posted 15 hours ago

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Create job alert

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

Similar Jobs

Applied AI Engineer

Remote

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Entry Level Gen AI Developer

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Yesterday

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Technical Architect - ML - GenAI

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AI/ML Solution Architect – Generative AI & Agentic AI

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3d ago

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Full-time, Third Party

0 - 0