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Principal AI Engineer/Architect

ApTask

Remote • 5d ago

Easy Apply

Contract

$110 - $125

AI Developer IV (Principal AI Engineer) || Remote

Cerebra Consulting Inc

Remote or Juno Beach, Florida • Today

Easy Apply

Full-time, Contract, Third Party

Principal AI Engineer

Averosoft Inc.

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Principal AI Engineer

CNA

Chicago, Illinois • Today

Full-time

USD 97,000.00 - 189,000.00 per year

Principal, AI Engineer

Northern Trust

Chicago, Illinois • 11d ago

Full-time

USD 137,400.00 - 233,600.00 per year

Principal, AI Engineer

Northern Trust

Chicago, Illinois • Today

Full-time

USD 137,400.00 - 233,600.00 per year

Principal AI Engineer

Cotiviti

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Sr. Principal AI Software Engineer

Connect Tech+Talent

Remote • Today

Easy Apply

Full-time

Depends on Experience

Principal AI Platform Engineer

Datasite

Remote • Today

Full-time

USD 117,500.00 - 206,700.00 per year

Principal Engineer, AI

Anaplan

Remote or Pennsylvania • Today

Full-time

Principal Forward Deployed AI Engineer

EPAM Systems

Remote • Today

Full-time

Principal Applied AI Engineer, Finance

Genesys

Remote or Massachusetts • Today

Full-time

USD 193,600.00 - 340,600.00 per year

Principal Engineer - AI Platform

iHerb inc

Remote • 17d ago

Full-time

USD 204,000.00 - 260,000.00 per year

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

UnitedHealth Group

Remote or Plymouth, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Principal AI/ML Engineer - Sales Engineer- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Principal Software Engineer, AI SIEM

SentinelOne

Remote • Today

Full-time

USD 216,000.00 - 297,000.00 per year

Principal AI Threat Detection Engineer - Insider Threat

Blackbaud

Remote • Today

Full-time

USD 117,200.00 - 157,500.00 per year

Principal DevSecOps Engineer - AI Infrastructure

Comtech Global

Remote • 4d ago

Easy Apply

Full-time

180,000 - 200,000

Principal Software Engineer - AI & Software Factory Engineering

General Dynamics

Remote • Today

Full-time

USD 113,900.00 - 154,100.00 per year

Principal Engineer, AI Security Governance | Endpoint Security Engineering

ServiceNow, Inc.

Remote or Kirkland, Washington • Today

Full-time

USD 221,200.00 - 387,100.00 per year

Principal Machine Learning Engineer- AI Context

HubSpot

Remote • Today

Full-time

Principal Software Engineer - AI Data Engine

Motional

Remote or Boston, Massachusetts • Today

Full-time

USD 200,000.00 - 275,000.00 per year

Principal AI / Machine Learning Data Engineer - Remote or hybrid from MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Principal Engineer, AI Platform

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 242,634.00 - 499,541.00 per year

AI / Simulation Staff Engineer Fire and Explosion

UL Solutions

Northbrook, Illinois • Today

Full-time

USD 115,000.00 - 155,000.00 per year

Principal Engineer, Business Process & AI Automation

Georgia IT

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Principal AI Solutions Engineer

Bausch & Lomb

Remote or California • Today

Full-time

USD 165,000.00 - 190,000.00 per year

AI Architect, Principal Frontline AI Engineer - Healthcare

Brillio, LLC

Remote or Jersey City, New Jersey • Today

Full-time

USD 200,000.00 - 300,000.00 per year

Principal Cloud Security Engineer

Bank of Montreal

Chicago, Illinois • Today

Full-time

USD 122,400.00 - 228,000.00 per year

Job Details

Skills

Artificial Intelligence
Continuous Integration
Continuous Delivery
DevOps
Generative Artificial Intelligence (AI)
Google Cloud Platform
HIPAA
HL7
Health Care
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Python
TypeScript
Vertex
Solution Architecture
Terraform
Version Control
Programming Languages
Google Cloud

Summary

Title: Principal AI Engineer/Architect

Address: Remote

Duration: Contract to Hire

Requirements:

Now is the time to bring your expertise to Client. Healthcare and enterprise organizations are rapidly adopting large language models, generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and prototypes into secure, maintainable, production-grade AI applications that integrate with real clinical and operational workflows.
We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud Platform and Vertex AI, large language models, clinical operations, and forward deployed engineering. In this client-facing consulting role, you will design and build AI-enabled applications that connect clinical and enterprise data, tools, workflows, and users through scalable, governed engineering patterns.
You will bridge the gap between AI strategy and production implementation, partnering with clinicians, architects, data teams, security leaders, and operations stakeholders to deliver solutions that are useful, observable, secure, and ready for enterprise adoption.

What You'll Do

Agentic AI Solution Engineering: Design and build agentic AI systems that reason across tasks, use tools, retrieve context, and orchestrate multi-step workflows to automate and optimize clinical and operational processes, with human-in-the-loop review.
Google Cloud & Vertex AI Delivery: Develop AI solutions using Google Cloud technologies such as Vertex AI, Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, and related Google Cloud services.
Clinical Note & Document Processing: Build LLM-powered pipelines to extract, summarize, and structure clinical notes and unstructured healthcare documents, improving accuracy, speed, and downstream operational workflows.
MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code, environment management, automated testing, release controls, and observability practices for AI-enabled applications on Google Cloud.
RAG and Enterprise Knowledge Systems: Build retrieval-augmented generation solutions that connect securely to clinical content, structured data, EHR and document repositories, and operational systems.
Security, Identity, and Governance: Implement authentication, authorization, RBAC, data access controls, logging, auditability, and guardrails to ensure AI systems handle Client safely and operate compliantly in regulated healthcare environments.
Evaluation and Quality Engineering: Define and implement testing and evaluation approaches for agent performance, prompt quality, retrieval relevance, hallucination risk, response quality, latency, and reliability.
Forward Deployed Technical Leadership: Serve as a hands-on, forward deployed senior engineer and technical advisor, embedding with client teams to make architecture decisions, resolve implementation blockers, and move AI solutions from prototype to production.
Practice Enablement: Mentor engineers and consultants while contributing reusable agentic design patterns, reference architectures, DevOps templates, and Google Cloud AI delivery accelerators for Insight.

What We're Looking For

Experience: 6+ years of experience in software engineering, cloud engineering, AI engineering, enterprise application development, or solution architecture, ideally in consulting, healthcare, or client-facing delivery environments.
Agentic Systems Expertise: Hands-on experience designing and building agentic AI applications, including orchestration, tools, memory, planning, multi-step workflows, RAG, and human-in-the-loop controls.
Google Cloud AI Platform Depth: Strong experience with Vertex AI and the broader Google Cloud AI ecosystem, including Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, or related Google Cloud services.
Software Engineering Foundation: Strong proficiency in modern programming languages and frameworks commonly used for AI application development, such as Python, TypeScript, Go, FastAPI, LangChain/LangGraph, or similar technologies.
DevOps and Cloud Engineering: Experience with GitHub Actions, Cloud Build, CI/CD, infrastructure-as-code (Terraform), containers (GKE and Cloud Run), APIs, monitoring, logging, environment promotion, and production release management.
Clinical Operations & Healthcare Data: Experience integrating AI with clinical and operational systems, EHRs, clinical documentation, and healthcare data standards such as HL7 and FHIR including handling of Client in regulated environments.
AI Quality and Observability: Understanding of AI evaluation, prompt/version management, automated testing, telemetry, tracing, monitoring, model behavior analysis, and operational support patterns.
Consulting Mindset: Strong communication skills with the ability to translate technical tradeoffs into practical recommendations for executives, clinical leaders, platform teams, security stakeholders, and operations users.

Preferred Certifications

Google Cloud / AI: Google Cloud Professional Machine Learning Engineer, Professional Cloud Architect, Generative AI Leader, or relevant Google Cloud and AI certifications.
DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud-native engineering certifications.
Healthcare / Governance: HIPAA, Responsible AI, or healthcare data and AI governance-related certifications are a plus.

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: 10441603
Position Id: 9060838
Posted 5 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Deepak Verma

Recruiter @ ApTask

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Job Details

Skills

Artificial Intelligence
Continuous Integration
Continuous Delivery
DevOps
Generative Artificial Intelligence (AI)
Google Cloud Platform
HIPAA
HL7
Health Care
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Python
TypeScript
Vertex
Solution Architecture
Terraform
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Programming Languages
Google Cloud

Summary

Title: Principal AI Engineer/Architect

Address: Remote

Duration: Contract to Hire

Requirements:

Now is the time to bring your expertise to Client. Healthcare and enterprise organizations are rapidly adopting large language models, generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and prototypes into secure, maintainable, production-grade AI applications that integrate with real clinical and operational workflows.
We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud Platform and Vertex AI, large language models, clinical operations, and forward deployed engineering. In this client-facing consulting role, you will design and build AI-enabled applications that connect clinical and enterprise data, tools, workflows, and users through scalable, governed engineering patterns.
You will bridge the gap between AI strategy and production implementation, partnering with clinicians, architects, data teams, security leaders, and operations stakeholders to deliver solutions that are useful, observable, secure, and ready for enterprise adoption.

What You'll Do

Agentic AI Solution Engineering: Design and build agentic AI systems that reason across tasks, use tools, retrieve context, and orchestrate multi-step workflows to automate and optimize clinical and operational processes, with human-in-the-loop review.
Google Cloud & Vertex AI Delivery: Develop AI solutions using Google Cloud technologies such as Vertex AI, Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, and related Google Cloud services.
Clinical Note & Document Processing: Build LLM-powered pipelines to extract, summarize, and structure clinical notes and unstructured healthcare documents, improving accuracy, speed, and downstream operational workflows.
MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code, environment management, automated testing, release controls, and observability practices for AI-enabled applications on Google Cloud.
RAG and Enterprise Knowledge Systems: Build retrieval-augmented generation solutions that connect securely to clinical content, structured data, EHR and document repositories, and operational systems.
Security, Identity, and Governance: Implement authentication, authorization, RBAC, data access controls, logging, auditability, and guardrails to ensure AI systems handle Client safely and operate compliantly in regulated healthcare environments.
Evaluation and Quality Engineering: Define and implement testing and evaluation approaches for agent performance, prompt quality, retrieval relevance, hallucination risk, response quality, latency, and reliability.
Forward Deployed Technical Leadership: Serve as a hands-on, forward deployed senior engineer and technical advisor, embedding with client teams to make architecture decisions, resolve implementation blockers, and move AI solutions from prototype to production.
Practice Enablement: Mentor engineers and consultants while contributing reusable agentic design patterns, reference architectures, DevOps templates, and Google Cloud AI delivery accelerators for Insight.

What We're Looking For

Experience: 6+ years of experience in software engineering, cloud engineering, AI engineering, enterprise application development, or solution architecture, ideally in consulting, healthcare, or client-facing delivery environments.
Agentic Systems Expertise: Hands-on experience designing and building agentic AI applications, including orchestration, tools, memory, planning, multi-step workflows, RAG, and human-in-the-loop controls.
Google Cloud AI Platform Depth: Strong experience with Vertex AI and the broader Google Cloud AI ecosystem, including Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, or related Google Cloud services.
Software Engineering Foundation: Strong proficiency in modern programming languages and frameworks commonly used for AI application development, such as Python, TypeScript, Go, FastAPI, LangChain/LangGraph, or similar technologies.
DevOps and Cloud Engineering: Experience with GitHub Actions, Cloud Build, CI/CD, infrastructure-as-code (Terraform), containers (GKE and Cloud Run), APIs, monitoring, logging, environment promotion, and production release management.
Clinical Operations & Healthcare Data: Experience integrating AI with clinical and operational systems, EHRs, clinical documentation, and healthcare data standards such as HL7 and FHIR including handling of Client in regulated environments.
AI Quality and Observability: Understanding of AI evaluation, prompt/version management, automated testing, telemetry, tracing, monitoring, model behavior analysis, and operational support patterns.
Consulting Mindset: Strong communication skills with the ability to translate technical tradeoffs into practical recommendations for executives, clinical leaders, platform teams, security stakeholders, and operations users.

Preferred Certifications

Google Cloud / AI: Google Cloud Professional Machine Learning Engineer, Professional Cloud Architect, Generative AI Leader, or relevant Google Cloud and AI certifications.
DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud-native engineering certifications.
Healthcare / Governance: HIPAA, Responsible AI, or healthcare data and AI governance-related certifications are a plus.

Dice Id: 10441603
Position Id: 9060838
Posted 5 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Deepak Verma

Recruiter @ ApTask

View Profile

Create job alert

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

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