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Principal AI Engineer/Architect

ApTask

Remote • Today

Easy Apply

Contract

$110 - $125

Principal AI Engineer

BMC Software Inc

Santa Clara, California • Today

Full-time

USD 175,800.00 - 293,000.00 per year

Principal AI Engineer

Droisys

Dallas, Texas • 29d ago

Easy Apply

Contract

62 - 70

Principal AI Engineer

Synechron

Dallas, Texas • 27d ago

Easy Apply

Full-time

140000 - 150,000

Principal AI Engineer

Strive Health

Denver, Colorado • Today

Full-time

USD 130,000.00 - 196,000.00 per year

Principal AI Engineer

Synechron

Dallas, Texas • 20d ago

Easy Apply

Full-time, Third Party

140000 - 150000

Principal AI Engineer

AllSTEM Connections

Milwaukee, Wisconsin • Today

Full-time

USD 197,600.00 - 208,000.00 per year

Principal AI Engineer

Confiz LLC

Phoenix, Arizona • Today

Full-time

Principal AI Engineer

Cotiviti

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Principal, AI Engineer

Northern Trust

Chicago, Illinois • 5d 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

Verizon

Bernards, New Jersey • Today

Full-time

USD 120,500.00 - 231,000.00 per year

Principal AI Engineer

CNA

Chicago, Illinois • Today

Full-time

USD 97,000.00 - 189,000.00 per year

Principal AI Engineer

eSimplicity Inc.

Columbia, Maryland • Today

Full-time

USD 143,600.00 - 200,000.00 per year

Principal AI Engineer - Evinova

AstraZeneca

Gaithersburg, Maryland • Today

Full-time

USD 144,648.80 - 189,851.55 per year

Principal AI Engineer - AgenticAI

BMC Software Inc

Santa Clara, California • Today

Full-time

USD 175,800.00 - 293,000.00 per year

Principal AI Engineer - Vice President

Citi

Tampa, Florida • Today

Full-time

USD 125,600.00 - 188,400.00 per year

Senior Principal AI Engineer

Dell

Austin, Texas • Today

Full-time

Principal AI Engineer - Vice President

Morgan Stanley

New York, New York • Today

Full-time

USD 150,000.00 - 210,000.00 per year

Senior Principal AI Engineer

Vertex

New York, New York • 6d ago

Full-time

USD 229,800.00 - 298,700.00 per year

Principal AI Engineer, Special Programs

SpaceX

Washington, District of Columbia • Today

Full-time

USD 220,000.00 - 350,000.00 per year

Principal AI Engineer (Agentic AI)

Navy Federal Credit Union

Hybrid in Vienna, Virginia • Today

Full-time

Principal, AI Engineer (Technical Lead)

Ares Management Corporation

New York, New York • Today

Full-time

USD 275,000.00 - 350,000.00 per year

Senior Principal AI Engineer

Dell Technologies

Austin, Texas • Today

Full-time

USD 196,000.00 - 269,500.00 per year

Principal Architect with AI Native Engineer

Mergen IT LLC

St. Louis, Missouri • 9d ago

Easy Apply

Third Party, Contract

Depends on Experience

Principal AI Engineer, Special Programs

SpaceX

Palo Alto, California • Today

Full-time

USD 220,000.00 - 350,000.00 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 AI Architect

Winning Edge Solutions, LLC

No location provided • Today

Easy Apply

Contract

Principal AI Engineering Architect

Robots and Pencils

Remote • Today

Full-time

USD 180,375.00 - 230,625.00 per year

Principal AI Architect

GlobalLogic Inc.

Remote • Yesterday

Easy Apply

Full-time, Third Party

Depends on Experience

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 2 hours ago

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Deepak Verma

Recruiter @ ApTask

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Principal AI Engineering Consultant

Remote or California

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Principal AI Engineering Consultant Agentic AI Employment: Full-Time Preferred Locations: California, New Jersey, North Carolina, Georgia, Texas Experience: 16 17+ years Work type: Remote, with travel to client locations (30%) for Discovery and such sessions. H1 transfers are accepted. Role Overview We are looking for a highly experienced, hands-on AI Engineering Consultant who combines deep software engineering expertise with practical experience building and delivering Agentic AI solutions

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Principal Software Architect - AI & Security

Remote or Menlo Park, California

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Today

About Mainspring Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including A

Full-time

USD 227,500.00 - 280,000.00 per year