Is the Principal AI Engineer/Archtiect role on-site?

Yes — this role is on-site at the client's Columbus, OH location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.

Is this a contract or full-time role?

This is a contract opportunity on ApTask's payroll. If selected, you will be employed by ApTask and will receive a W-2 for the duration of your assignment. During your engagement, you will be eligible for subsidized benefits, including medical, dental, vision insurance, a 401(k) plan, commuter benefits, and state-mandated paid sick leave. Your pay cycle (weekly or biweekly, as applicable) will be confirmed at the time of your offer. You'll also have a dedicated ApTask recruiter as your single point of contact throughout your assignment, providing ongoing support from onboarding through completion. Many of our contract opportunities are extended or converted to permanent positions based on business needs and performance. Your recruiter can share the client's historical extension and conversion trends during the interview process. Benefits, assignment duration, extension, conversion opportunities, and eligibility are subject to client requirements, business needs, and applicable plan terms.

What is the compensation range for this role?

The advertised range for this Principal AI Engineer/Archtiect role is $110–$125 per hour. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

What technical skills does the Principal AI Engineer/Archtiect role require?

The client is targeting depth in AI. Adjacent experience is welcome — we routinely place candidates whose exact stack match is 60-70% when the underlying pattern (distributed systems, regulated-data handling, or comparable) is strong. Bring the full stack breadth to your calibration call; the recruiter will map it onto the client's evaluation scorecard.

OnsitecontractorReq 26-02717Posted Today

Principal AI Engineer/Archtiect

Contract role in Columbus, OH. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Location: Columbus, OH · Onsite
Compensation: $110–$125/hr

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

About the role

At a glance

AI summary

Day-to-day: Design and build agentic AI systems for healthcare and enterprise clients using Google Cloud and Vertex AI, implementing clinical document processing, RAG solutions, and MLOps pipelines while embedding with client teams to move prototypes to production
You'll bring: 6+ years software/cloud/AI engineering experience; hands-on agentic AI systems design; Vertex AI and Google Cloud expertise; Python/TypeScript/Go proficiency; CI/CD and infrastructure-as-code experience; clinical operations and EHR integration knowledge; AI evaluation and observability understanding
Good fit if: Google Cloud or DevOps certifications; HIPAA or healthcare AI governance certifications; consulting delivery background; experience with LangChain/LangGraph, Terraform, or Kubernetes

Generated from the recruiter description below. The full posting is the source of truth — always read it before applying.

About Client:
The client is a prominent global technology solutions provider, renowned for its comprehensive range of services and products tailored to meet the diverse needs of businesses.
The company's core focus revolves around assisting organizations in managing and optimizing their IT operations, thereby driving productivity, efficiency, and innovation. It offers an extensive array of services, including strategic consulting, technology implementation, cloud computing, data center management, cybersecurity, software licensing, and hardware procurement.
In addition to its business-to-business (B2B) services, it also serves as a valuable resource for IT professionals and decision-makers, providing valuable insights and thought leadership through its various publications, webinars, and events.

Rate:

Job Description:
Requirements:

Now is the time to bring your expertise to Insight. 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.

Responsibilities:

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.

Requirements:

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.

Physical Requirements:

Ability to sit for extended periods while working at a computer
Capable of using a keyboard, mouse, and other standard computer peripherals
Able to see and read computer monitors and documentation
Capable of hearing for virtual meetings and conference calls
Able to communicate verbally and in writing

AI Policy:

Candidates are not permitted to use artificial intelligence tools, chatbots, or AI-assisted applications during any phase of the interview process. Use of AI assistance will result in immediate termination of the interview.

Please note that ApTask offers subsidized insurance coverage to our employees.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at [email protected].

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or [email protected]. Message frequency may vary. Msg & data rates may apply

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Principal AI Engineer/Archtiect role on-site?: Yes — this role is on-site at the client's Columbus, OH location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.
Is this a contract or full-time role?: This is a contract opportunity on ApTask's payroll. If selected, you will be employed by ApTask and will receive a W-2 for the duration of your assignment. During your engagement, you will be eligible for subsidized benefits, including medical, dental, vision insurance, a 401(k) plan, commuter benefits, and state-mandated paid sick leave. Your pay cycle (weekly or biweekly, as applicable) will be confirmed at the time of your offer. You'll also have a dedicated ApTask recruiter as your single point of contact throughout your assignment, providing ongoing support from onboarding through completion. Many of our contract opportunities are extended or converted to permanent positions based on business needs and performance. Your recruiter can share the client's historical extension and conversion trends during the interview process. Benefits, assignment duration, extension, conversion opportunities, and eligibility are subject to client requirements, business needs, and applicable plan terms.
What is the compensation range for this role?: The advertised range for this Principal AI Engineer/Archtiect role is $110–$125 per hour. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?

More roles in this vertical

Hybrid · Bengaluru, KA

Ready to apply? Two minutes, one profile.

Your résumé routes to the recruiter who owns this requisition. Identity-verified once, matched against every future ApTask role that fits your stack.

Join talent network See all roles

Principal AI Engineer/Archtiect

About the role

What this vertical looks like inside ApTask.

What happens after you apply.

1. Verified profile

2. Recruiter calibration call

3. Client interview

4. Offer + onboarding

Questions candidates ask about this role.

AWS Data Engineer

Salesforce Business Analyst

Full stack AI Engineer

Ready to apply? Two minutes, one profile.

Principal AI Engineer/Archtiect

About the role

What this vertical looks like inside ApTask.

What happens after you apply.

1. Verified profile

2. Recruiter calibration call

3. Client interview

4. Offer + onboarding

Questions candidates ask about this role.

Keep browsing.

AWS Data Engineer

Salesforce Business Analyst

Full stack AI Engineer

Ready to apply? Two minutes, one profile.