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Lead AI/ML Engineer

Javen Technologies, Inc

Hybrid in Chicago, Illinois • Today

Easy Apply

Third Party, Contract

Depends on Experience

Lead AI/ML Engineer (Platform, kubeflow)

Capital One

New York, New York • Today

Full-time

AI/ML Engineer

Oscar Technology

New York, New York • Today

Easy Apply

Contract

$80 - $90 per hour

Lead AI/ML Engineer

INTUITIVE TECHNOLOGY PARTNERS, INC.

Remote • Today

Easy Apply

Contract

70 - 90

AI/ML Engineer/AI/ML Technical Lead/AI/ML Technical Architcet

Envision Technology Solutions

California • Yesterday

Easy Apply

Full-time

Senior AI/ML Engineer

Raas Infotek LLC

Hybrid in Katy, Texas • Today

Easy Apply

Contract

Depends on Experience

AI/ML Engineer / Lead / Architect

Centraprise Corp

Santa Clara, California • 6d ago

Easy Apply

Full-time

140,000 - 200,000

Senior AI/ML Engineer (Python)

Motion Recruitment Partners, LLC

Charlotte, North Carolina • Today

Easy Apply

Full-time

$120000 - $160000

AI / ML Engineer - Hourly Contract

Stevens

Hybrid • 5d ago

Third Party

ROLE:SENIOR AI/ML ENGINEER _ St Louis, MO (Onsite) _ F2F Interview

SUNRAY INFORMATICS

St. Louis, Missouri • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

SR/Lead AI/ML Engineer & Data Scientist : Minnetonka, Minnesota ( Onsite from Day 1 ) : Exp Req : 10+

Nexwave

Minnetonka, Minnesota • Today

Easy Apply

Third Party, Contract

Business Consultant - AI/ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 15d ago

Easy Apply

Contract, Third Party

$60 - $70

Lead AI/ML Engineer

Gamestop, Inc.

Grapevine, Texas • Today

Full-time

Lead AI/ML Engineer - Java Background - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer (Data Science) - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or San Francisco, California • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer (Java background)- Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI Applied ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Lead AI ML Engineer - AWS Connect - Remote

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior AI/ML Engineer

AllSTEM Connections

Milwaukee, Wisconsin • Today

Full-time

USD 141,400.00 - 193,400.00 per year

Senior AI/ML Engineer

Navistar International Corp.

Lisle, Illinois • Today

Full-time

USD 112,000.00 - 168,000.00 per year

Lead AI/ML Engineer- Hybrid Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Sr Agentic AI/ML Engineer – GenAI & Cloud Solutions

Tanisha Systems, Inc.

Mason, Ohio • 30+d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Boston, Massachusetts • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer

Johnson & Johnson

Hopewell Township, New Jersey • Today

Full-time

USD 155,000.00 - 175,000.00 per year

Lead AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer

GLOBAL IT CON LLC

St. Louis, Missouri • Today

Easy Apply

Contract

Depends on Experience

Senior AI/ML Engineer

Tenex.AI Inc

Remote • Today

Full-time

Senior AI / ML Engineer (Python)

ITTConnect

Charlotte, North Carolina • Today

Full-time

Javen Technologies, Inc

Job Details

Skills

Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Large Language Models (LLMs)
LangChain
LlamaIndex

Summary

Job Title: Lead AI/ML Engineer Generative AI, Agentic AI & AWS

Duration: 12+ Months with possible extension

Job Description: Key Responsibilities:

AI/ML Engineering & Solution Development

Design, develop, test, and deploy machine learning, generative AI, and agentic AI solutions in production environments.
Collaborate with data scientists, software engineers, architects, and DevOps teams to build scalable AI products and platforms.
Develop and operationalize Large Language Model (LLM) applications using foundation models and enterprise AI services.
Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing enterprise knowledge repositories, vector databases, and semantic search technologies.
Build and orchestrate AI agents and multi-agent systems capable of autonomous reasoning, planning, workflow execution, and decision support.
Develop prompt engineering frameworks, evaluation methodologies, and continuous optimization processes to improve AI application quality and reliability.

AI Platform Engineering & MLOps

Build, test, deploy, and maintain AI/ML and Generative AI pipelines on AWS and Databricks.
Create automated workflows for data ingestion, preparation, feature engineering, model training, model deployment, prompt optimization, and model monitoring.
Implement CI/CD, MLOps, and LLMOps practices for scalable deployment and lifecycle management of AI solutions.
Develop AI observability and monitoring capabilities to measure model performance, drift, hallucinations, latency, cost, and business outcomes.
Manage and optimize production AI systems to ensure reliability, security, scalability, and regulatory compliance.
Continuously evaluate emerging AI technologies, frameworks, and foundation models to improve enterprise AI capabilities.

Agentic AI & Intelligent Automation

Design and implement agentic workflows that integrate AI agents with enterprise systems, APIs, knowledge bases, and business processes.
Develop intelligent automation solutions that streamline operational workflows and improve business efficiency.
Build human-in-the-loop review processes and governance controls for AI-assisted decision-making systems.
Implement tool-using agents capable of interacting with enterprise applications, databases, and external services while maintaining security and compliance standards.

AI Governance & Responsible AI

Develop and maintain documentation, standards, and governance processes for AI and ML solutions.
Ensure AI solutions adhere to Responsible AI principles including transparency, explainability, fairness, security, privacy, and compliance.
Partner with risk, security, legal, and governance stakeholders to establish enterprise AI controls and monitoring frameworks.
Support model validation, auditability, and explainability requirements for AI-powered applications.

Leadership & Strategy

Serve as a technical leader and mentor for engineers, data scientists, and AI practitioners.
Contribute to the organization's AI strategy, architecture standards, and technology roadmap.
Identify opportunities where AI, Generative AI, and intelligent automation can create measurable business value.
Communicate complex AI concepts, risks, opportunities, and recommendations to technical and business audiences.

Education & Experience

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field.
7+ years of experience in Machine Learning Engineering, AI Engineering, MLOps, Software Engineering, or related disciplines.
3+ years of hands-on experience deploying AI/ML solutions in cloud environments.
Demonstrated experience delivering Generative AI, LLM, RAG, or agent-based solutions in production.

Technical Qualifications

Strong knowledge of AWS AI/ML services including SageMaker, Bedrock, Lambda, Step Functions, CloudFormation, ECS/EKS, and related services.
Experience building and deploying machine learning and generative AI applications in production.
Proficiency with LLM frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar agent orchestration frameworks.
Experience designing Retrieval-Augmented Generation (RAG) architectures and integrating vector databases.
Experience implementing AI agents, agentic workflows, and intelligent automation solutions.
Proficiency in Python and related AI/ML libraries and frameworks.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Knowledge of CI/CD, MLOps, LLMOps, model monitoring, and AI observability practices.

Knowledge, Skills, Abilities and Behaviors

Deep understanding of machine learning, deep learning, generative AI, foundation models, and agentic AI architectures.
Strong knowledge of software engineering principles, DevSecOps, MLOps, and LLMOps best practices.
Ability to architect scalable, secure, and resilient AI platforms and intelligent systems.
Experience evaluating and implementing emerging AI technologies and frameworks.
Ability to analyze complex business problems and apply AI solutions that generate measurable business value.
Strong understanding of responsible AI, governance, explainability, and risk management principles.
Excellent communication skills with the ability to explain advanced AI concepts to technical and non-technical audiences.
Self-starter who can independently drive AI initiatives from concept through production deployment.
Hands-on technologist capable of influencing strategy while remaining engaged in solution delivery.
Passion for innovation and continuous learning in the rapidly evolving AI landscape.
Ability to mentor and develop engineering talent while fostering an AI-first culture across the organization.

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: 10334594
Position Id: 9079178
Posted 10 hours ago

Company Info

About Javen Technologies, Inc

Javen Technologies is a global information technology company providing consulting, and outsourcing services. Our global delivery model, innovative approach, and industry knowledge allow us to provide cost-effective services that enable our clients to enhance business performance through technology. Javen Technologies is firmly committed to keeping our client success as priority number one. The key to our successful track record is our dedication to information technology services and the strong partnerships we’ve built with our clients. We aim to deliver excellence through our people, knowledge, and methodologies.

We specialize in Web Technologies, IoT, Cloud, MOBILE, UI/UX, ML/AI, ERP, CRM, Data Warehousing, BIG Data, and System Integration.

Javen Technologies has the expertise and capacity to deliver top-quality technology solutions globally, and a proven track record of helping our clients transform their businesses giving them a competitive edge in today’s ever-changing marketplace.

Go to company profile

Fitment

Dice Job Match Score™

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Contact the job poster

Vikram Keshaveni

Recruitment Consultant @ Javen Technologies, Inc

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Lead ML Engineer

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As an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS). We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability. In this role, you won t just be building models; you will be ensuring those models work reliably in the real world. You will help bridge the gap between data science and software engineering by implementing automated workfl

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AI Product Owner (DevSecOps + vulnerabilities + Security + AI interest)

Remote

•

12d ago

Title: AI Product Owner Location: Remote Duration: 5+ Months contract TECHNICAL SKILLS Must Have 1+ year(s) of Gen AI related development Agile Product Ownership Nice To Have AWS DevOps practices and tools (Jenkins, Github, CI/CD, Terraform) Job Profile Summary The Senior Product Owner (Technical) will be responsible for defining, prioritizing, and driving the roadmap for an AI-driven code vulnerability detection and reporting capability. The product uses large language models and supporting au

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Machine Learning Engineer

Remote

•

Yesterday

Position: IT Analyst V Location: Remote role Duties The Impact You ll Make in this Role As an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS). We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability. In this role, you won t just be building models; you will be ensuring those models work reliably in the real world. You will help bridg

Easy Apply

Contract

Depends on Experience

AWS Cloud & AI /ML Platform Engineer

Hybrid in Cincinnati, Ohio

•

Today

Seeking to fill in a AWS AI /ML Platform Engineer for immediate onsite contract to hire opportunity with my direct client in Cincinnati OH. If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for onsite work, skill stack and LinkedIn. Reach me for more details. thanks. If not, Appreciate any referrals. Must Have AI Risk Management AWS LOCATION INFORMATION Cincinnati Ohio 45202 The AWS AI Platform Engineer JOB DESCRIPTION

Easy Apply

Contract

Depends on Experience

Javen Technologies, Inc

Job Details

Skills

Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Large Language Models (LLMs)
LangChain
LlamaIndex

Summary

Job Title: Lead AI/ML Engineer Generative AI, Agentic AI & AWS

Duration: 12+ Months with possible extension

Job Description: Key Responsibilities:

AI/ML Engineering & Solution Development

Design, develop, test, and deploy machine learning, generative AI, and agentic AI solutions in production environments.
Collaborate with data scientists, software engineers, architects, and DevOps teams to build scalable AI products and platforms.
Develop and operationalize Large Language Model (LLM) applications using foundation models and enterprise AI services.
Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing enterprise knowledge repositories, vector databases, and semantic search technologies.
Build and orchestrate AI agents and multi-agent systems capable of autonomous reasoning, planning, workflow execution, and decision support.
Develop prompt engineering frameworks, evaluation methodologies, and continuous optimization processes to improve AI application quality and reliability.

AI Platform Engineering & MLOps

Build, test, deploy, and maintain AI/ML and Generative AI pipelines on AWS and Databricks.
Create automated workflows for data ingestion, preparation, feature engineering, model training, model deployment, prompt optimization, and model monitoring.
Implement CI/CD, MLOps, and LLMOps practices for scalable deployment and lifecycle management of AI solutions.
Develop AI observability and monitoring capabilities to measure model performance, drift, hallucinations, latency, cost, and business outcomes.
Manage and optimize production AI systems to ensure reliability, security, scalability, and regulatory compliance.
Continuously evaluate emerging AI technologies, frameworks, and foundation models to improve enterprise AI capabilities.

Agentic AI & Intelligent Automation

Design and implement agentic workflows that integrate AI agents with enterprise systems, APIs, knowledge bases, and business processes.
Develop intelligent automation solutions that streamline operational workflows and improve business efficiency.
Build human-in-the-loop review processes and governance controls for AI-assisted decision-making systems.
Implement tool-using agents capable of interacting with enterprise applications, databases, and external services while maintaining security and compliance standards.

AI Governance & Responsible AI

Develop and maintain documentation, standards, and governance processes for AI and ML solutions.
Ensure AI solutions adhere to Responsible AI principles including transparency, explainability, fairness, security, privacy, and compliance.
Partner with risk, security, legal, and governance stakeholders to establish enterprise AI controls and monitoring frameworks.
Support model validation, auditability, and explainability requirements for AI-powered applications.

Leadership & Strategy

Serve as a technical leader and mentor for engineers, data scientists, and AI practitioners.
Contribute to the organization's AI strategy, architecture standards, and technology roadmap.
Identify opportunities where AI, Generative AI, and intelligent automation can create measurable business value.
Communicate complex AI concepts, risks, opportunities, and recommendations to technical and business audiences.

Education & Experience

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field.
7+ years of experience in Machine Learning Engineering, AI Engineering, MLOps, Software Engineering, or related disciplines.
3+ years of hands-on experience deploying AI/ML solutions in cloud environments.
Demonstrated experience delivering Generative AI, LLM, RAG, or agent-based solutions in production.

Technical Qualifications

Strong knowledge of AWS AI/ML services including SageMaker, Bedrock, Lambda, Step Functions, CloudFormation, ECS/EKS, and related services.
Experience building and deploying machine learning and generative AI applications in production.
Proficiency with LLM frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar agent orchestration frameworks.
Experience designing Retrieval-Augmented Generation (RAG) architectures and integrating vector databases.
Experience implementing AI agents, agentic workflows, and intelligent automation solutions.
Proficiency in Python and related AI/ML libraries and frameworks.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Knowledge of CI/CD, MLOps, LLMOps, model monitoring, and AI observability practices.

Knowledge, Skills, Abilities and Behaviors

Deep understanding of machine learning, deep learning, generative AI, foundation models, and agentic AI architectures.
Strong knowledge of software engineering principles, DevSecOps, MLOps, and LLMOps best practices.
Ability to architect scalable, secure, and resilient AI platforms and intelligent systems.
Experience evaluating and implementing emerging AI technologies and frameworks.
Ability to analyze complex business problems and apply AI solutions that generate measurable business value.
Strong understanding of responsible AI, governance, explainability, and risk management principles.
Excellent communication skills with the ability to explain advanced AI concepts to technical and non-technical audiences.
Self-starter who can independently drive AI initiatives from concept through production deployment.
Hands-on technologist capable of influencing strategy while remaining engaged in solution delivery.
Passion for innovation and continuous learning in the rapidly evolving AI landscape.
Ability to mentor and develop engineering talent while fostering an AI-first culture across the organization.

Dice Id: 10334594
Position Id: 9079178
Posted 10 hours ago

Company Info

About Javen Technologies, Inc

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vikram Keshaveni

Recruitment Consultant @ Javen Technologies, Inc

View Profile

Create job alert

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

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Lead ML Engineer

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