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Principal AI Engineer/Architect

ApTask

Remote • Today

Easy Apply

Contract

$110 - $125

Staff AI Engineer // High Growth Startup // Fully Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$150000 - $190000

Staff AI Engineer

Robots and Pencils

Remote • Today

Full-time

USD 176,612.00 - 243,680.00 per year

Staff AI Engineer

CVS Health

Remote or Connecticut • Today

Full-time

USD 106,605.00 - 260,590.00 per year

Principal AI Engineer

Cotiviti

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Applied AI Engineer, Federal - Top Secret Clearance

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 170,000.00 - 300,000.00 per year

Staff AI Engineer - Foundation (Remote)

Rula Health

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Staff AI Engineer - USA

Podium

Remote or Lehi, Utah • Today

Full-time

Staff Applied AI Engineer - Pre-Sales

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 190,000.00 - 300,000.00 per year

AI Engineer, Forward Deployed

Integrichain

Remote or Philadelphia, Pennsylvania • Today

Full-time

Senior Legal AI Engineer

Thomson Reuters U.S. Inc.

Remote or Eagan, Minnesota • Today

Full-time

USD 100,100.00 per year

Forward Deployed AI Engineer (FedD149B/ FedD110)

Defense Unicorns

Remote • Today

Full-time

USD 148,750.00 - 201,250.00 per year

Principal Applied AI Engineer, Finance

Genesys

Remote or Massachusetts • Today

Full-time

USD 193,600.00 - 340,600.00 per year

Senior AI Engineer - Agentic

Podium

Remote or Lehi, Utah • Today

Full-time

Conversational AI Engineer

Niha Technologies, Inc.

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior AI Engineer

SPA

Remote • Today

Full-time

USD 71,500.00 per year

Principal ML/AI Engineer

White Cap Supply Holdings, LLC

Remote • Today

Full-time

Agentic AI Engineer – Python & Azure - Remote (USA)

Triunity Software

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Forward Deployed AI Engineer, West

Arize AI

Remote or San Francisco, California • Today

Full-time

USD 155,000.00 - 190,000.00 per year

Principal Forward Deployed AI Engineer

EPAM Systems

Remote • Today

Full-time

Agentic AI Engineer - Madison, WI, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI.

TechniPros, LLC

Remote or Madison, Wisconsin • Today

Easy Apply

Contract

Depends on Experience

Sr. AI Engineer

Samsara

Remote • Today

Full-time

USD 127,330.00 - 214,000.00 per year

Sr. Applied AI Engineer

Comcast Corp

Remote or Atlanta, Georgia • Today

Full-time

USD 98,678.80 per year

Backend AI Engineer - Remote

Genesis10

Remote or San Diego, California • Today

Easy Apply

Full-time

Compensation information provided in the description

Applied AI Engineer - Enterprise Solutions

Snorkel AI

Remote or New York, New York • Today

Full-time

USD 172,000.00 - 300,000.00 per year

Senior AI Engineer

GitLab

Remote • Today

Full-time

USD 108,400.00 - 129,600.00 per year

AI Engineer

OneMagnify

Remote or Michigan • Today

Full-time

Senior AI Engineer - Grafana AI/ML | USA | Remote

Grafana Labs

Remote • Today

Full-time

USD 127,651.00 - 203,867.00 per year

Senior AI Engineer, Legal - USA Remote

Danaher Corporation

Remote • Today

Full-time

USD 185,000.00 - 200,000.00 per year

Senior AI Engineer, Real-World Data

Natera, Inc.

Remote • Today

Full-time

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 15 hours ago

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Deepak Verma

Recruiter @ ApTask

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Remote

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2d ago

Required Qualifications & ExperienceCore AI/ML & Agentic Engineering (Must-Have)8+ Years in software/AI engineering, with 3+ years directly building, deploying, and maintaining production-grade LLM applications, RAG pipelines, or autonomous agent frameworks.Agentic Frameworks: Hands-on mastery of multi-agent orchestration patterns, tool calling, stateful graphs, and memory management (e.g., LangGraph, AutoGen, LlamaIndex, Semantic Kernel).Google Cloud Platform AI Ecosystem: Deep experience with

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Google AI Architect

Remote

•

Today

Required Qualifications: Experience: 15+ years in IT infrastructure, software engineering, or cloud architecture, with 5+ focused specifically on advanced AI/ML and GenAI solutions.Core Technical Stack: Deep hands-on proficiency with Google Cloud Platform (Vertex AI, Gemini Enterprise, BigQuery, GKE, Cloud Run) and multi-agent orchestration toolkits.Domain Expertise: Super strong network background with deep knowledge of telecommunications network architecture, protocols, and large-scale operati

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Contract, Third Party

Depends on Experience

Senior Machine Learning Engineer

Remote or New York, New York

•

Today

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! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering c

Full-time

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

Remote

•

2d ago

DivIHN (pronounced divine) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply o

Easy Apply

Contract, Third Party

$51 - $55