Publié le mois dernier
CONFIDENTIAL: Principal Platform Engineer
@ Insight Global
Vancouver, Colombie-Britannique
SIGNAUX
En bref
Insight Global is hiring a Principal Platform Engineer on contract to architect and govern enterprise AI platform infrastructure for a global fashion retailer. The role sets AI platform architecture, governance, scalability and developer enablement, reporting into senior technology leadership. The posting requires 10+ years of platform or cloud experience and deep Vertex AI and MLOps expertise.
Salaire :
180 000 $–220 000 $ par année
Responsabilités :
- Define AI platform architecture, standards and roadmap
- Build enterprise-grade AI platforms and developer environments
- Establish governance, security and monitoring controls for AI
- Lead proof-of-concept and feasibility assessments
- Mentor engineers and influence AI strategy with leadership
Résumé des exigences :
- 10+ years in platform engineering or cloud infrastructure
- Proven enterprise AI/ML platforms running in production
- Deep Vertex AI and MLOps expertise
- Hands-on generative AI platform experience
- Terraform, CI/CD and policy-as-code automation
- Advanced Python engineering skills
Outils et compétences
Source et dates
Type de source non vérifié · insightglobal
- Date publiée par l’employeur
- 2026-10-08
- Première détection par notre source
- 2026-10-26
- Mise à jour du dossier source
- 2026-10-26
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Développement logiciel |
| Expérience | 10 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Insight Global
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Insight Global is a talent, consulting, and AI company.
Description complète de l’entreprise
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering deliver solutions tailored to each customer’s needs. As those needs evolve, so do we. As we evolve, though, we stay true to our purpose: to develop people personally, professionally, and financially so they can be the light to the world around them. It shows up in everything we do, from investing in our people to delivering results for our customers to making a meaningful impact in our communities.
- Abonnés LinkedIn
- 5 364 002
- Personnes associées sur LinkedIn
- 20 105
- Bureaux déclarés
- 1224 Hammond Drive, Suite 1500, Atlanta, Georgia 30346, US
- 100 King St W, Suite 5210, Toronto, Ontario M5X 1A9, CA
- 1901 6th Ave N, Suite 1610, Birmingham, Alabama 35203, US
- 2325 E Camelback Rd, Suite 800, Phoenix, Arizona 85016, US
- 5001 W Founders Way, Suite 100, Rogers, Arkansas 72758, US
- 609 Granville St, Suite 540, Vancouver, British Columbia V7Y 1H4, CA
- 401 W A St, Suite 2075, San Diego, California 92101, US
- 400 Capitol Mall, Suite 2640, Sacramento, California 95814, US
- 3161 Michelson Dr, Suite 1150, Irvine, California 92612, US
- 6601 Center Dr W, 5th Floor, Suite J, Los Angeles, California 90045, US
- 33 New Montgomery St, Suite 1700, San Francisco, California 94105, US
- 50 W San Fernando St, Suite 900, San Jose, California 95113, US
- 707 17th St, Suite 4100, Denver, Colorado 80202, US
- 185 Asylum St, City Place 2, 15th Floor, Hartford, Connecticut 06103, US
- 4 Star Point, Suite 302, Stamford, Connecticut 06902, US
- 1001 19th St N, Suite 1000, Arlington, Virginia 22209, US
- 5200 Town Center Circle, Boca Center, Tower 1, Suite 500, Boca Raton, Florida 33486, US
- 333 S Garland Ave, Suite 1200, Orlando, Florida 32801, US
- 3600 Midtown Dr, Suite 1000, Tampa, Florida 33607, US
- 5555 Gate Pkwy, Suite 220, Jacksonville, Florida 32256, US
- 333 SE 2nd Ave, Suite 3400, Miami, Florida 33131, US
- 353 N Clark St, 2200, Chicago, Illinois 60654, US
- 820 Massachusetts Ave, Suite 1360, Indianapolis, Indiana 46204, US
- 666 Walnut St, Suite 1600, Des Moines, Iowa 50309, US
- 101 South 5th Street, Suite 1800, Louisville, KY 40202, US
- 100 E Pratt St, Suite 2530, Baltimore, Maryland 21202, US
- 33 Arch St, Suite 1120, Boston, Massachusetts 02110, US
- 333 Bridge St NW, 13th Floor, Suite 1301, Grand Rapids, Michigan 49504, US
- 400 Renaissance Dr, Suite 3500, Detroit, Michigan 48243, US
- 1601 Utica Ave S, Suite 800, St Louis Park, Minnesota 55416, US
- 231 S Bemiston Ave, Suite 100, St Louis, Missouri 63105, US
- 1100 Walnut St, Suite 1250, Kansas City, Missouri 64106, US
- 6700 Mercy Rd, Suite 300, Omaha, Nebraska 68106, US
- 10845 Griffith Peak Dr, Suite 200A, Las Vegas, Nevada 89135, US
- 1260 Headquarters Plaza, West Tower, 6th Floor, Morristown, New Jersey 07960, US
- 250 Park Ave, Suite 1100, New York, New York 10177, US
- 201 N Tryon St, Suite 2150, Charlotte, North Carolina 28202, US
- 4208 Six Forks Rd, Suite 840, Raleigh, North Carolina 27609, US
- 250 E 5th St, Suite 1400, Cincinnati, Ohio 45202, US
- 127 Public Sq, Suite 1500, Cleveland, Ohio 44114, US
- 210 Park Ave, Suite 1020, Oklahoma City, Oklahoma 73102, US
- 111 SW 5th Ave, Suite 3850, Portland, Oregon 97204, US
- 1 PPG Pl, Suite 2000, Pittsburgh, Pennsylvania 15222, US
- 1600 Market St, Suite 2900, Philadelphia, Pennsylvania 19103, US
- 200 N Warner Rd, Oak Hill Plaza, Suite 440, King of Prussia, Pennsylvania 19406, US
- 1222 Demonbreun St, Suite 1100, Nashville, Tennessee 37203, US
- 401 Congress Ave, Suite 1600, Austin, Texas 78701, US
- 2100 McKinney Ave, Suite 1400, Dallas, Texas 75201, US
- 111 W. Houston Street, Suite 2005, San Antonio, Texas 78205, US
- 2200 Post Oak Blvd, Suite 1225, Houston, Texas 77056, US
- 111 South Main, Suite 2250, Salt Lake City, Utah 84111, US
- 1021 E Cary St, Suite 1850, Richmond, Virginia 23219, US
- 4500 Main Street, Suite 210, Virginia Beach, Virginia 23462, US
- 2323 Elliott Avenue, Seattle, Washington 98121, US
- 833 E Michigan St, Suite 650, Milwaukee, Wisconsin 53202, US
- 330 Rush Alley, Suite 850, Columbus, Ohio 43215, US
- 700 2nd Street SW Calgary, Suite 3100, Calgary , Alberta T2P 2W2, CA
- 997 Morrison Drive 6th Floor, suite 602, Charleston , South Carolina 29403, US
- 15 S Main St, Suite 500, Greenville , South Carolina 29601, US
- 6815 Poplar Ave, Germantown, Tennessee 38138, US
- 201 Saint Charles Ave, Suite 2405, New Orleans, Louisiana 70170, US
- 200 Westside Sq, Suite 500, Huntsville, Alabama 35801, US
- 17 Saint Helen's Place, 4th Floor, London, England EC3A 6DG, GB
- 40 S Palafox St, Suite 500, Pensacola, Florida 32502, US
- 1100 W Idaho St, Suite 310, Boise, Idaho 83702, US
- 1110 Market St, Suite 215, Chattanooga, Tennessee 37402, US
- 640 Taylor St, 14th floor, Fort Worth, Texas 76102, US
- 99 Bank St, Suite 1002, Ottawa, Ontario K1P 6B9, CA
- 345 King St, Suite 202, Kitchener, Ontario N2G 1B8, CA
- Catégories d’activité
- Content Marketing
- Small and Medium Businesses
- Podcast
- Accounting
- Finance
- Employment
- Consulting
- Business Development
- Education
- Recruiting
- Sales
- Professional Services
- Public Relations
- Staffing Agency
- Social Media Management
- Human Resources
- Information Technology
- Photography
- Creative Agency
- Marketing
- Career Planning
- Government
- Business consulting
- Management and consulting
- Autres noms enregistrés
- Insight Global
- Spécialités
- Consulting
- Talent Services
- Staffing
- and International Staffing
- Le profil indique une agence de recrutement
- Oui
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 1,001-5,000 employees |
| Siège social | Atlanta, Georgia |
| Type d’organisation | Privately Held |
| Fondée en | 2001 |
| Spécialités | ConsultingTalent ServicesStaffingand International Staffing |
| Offres sur Jobsy | 272 |
| Voir la page |
Description
Required Skills & Experience
10+ years of experience in platform engineering, cloud infrastructure, software engineering, or enterprise architecture.
Enterprise AI Infrastructure & LLMOps / MLOps Architecture - Cloud AI Ecosystems: Deep architectural expertise in enterprise cloud AI suites (e.g., Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI) to build and provision scalable developer environments.
Proven experience building and operating enterprise AI/ML platforms in production, with ownership of platform architecture, scalability, governance, and adoption.
Deep expertise in Vertex AI and MLOps, including training pipelines, model registry, evaluation and approval workflows, and model serving.
Hands-on experience with Generative AI platforms, including model access and lifecycle management, prompt management, RAG, grounding, guardrails, evaluation frameworks, AI agents, and MCP integration.
Strong platform engineering and automation background, including Terraform, infrastructure-as-code, policy-as-code, CI/CD pipelines, and reusable self-service platform templates.
Experience implementing observability and FinOps practices for AI platforms, including tracing, drift detection, latency monitoring, token usage tracking, and cost optimization.
Advanced Python software engineering skills with a demonstrated ability to make and own critical architecture decisions.
Job Description
Insight Global is in search for a Principal Platform Engineer to architect and oversee the infrastructure for a Global Fashion Retailer. This is a strategic leadership role responsible for defining AI platform architecture, governance, scalability, and developer enablement across the organization. Reporting into a senior technology leadership team, this individual will bridge emerging AI capabilities with practical business applications while establishing the technical foundations required to securely develop, deploy, and manage AI solutions at scale. This role is ideal for someone who thrives at the intersection of platform engineering, cloud architecture, AI innovation, and enterprise transformation.
Responsibilities:
Enterprise AI Strategy & Architecture
Define the long-term vision, principles, and technical standards for enterprise AI platforms.
Develop and maintain an AI platform roadmap aligned with business and technology priorities.
Design scalable AI architecture that supports current and future AI initiatives.
Evaluate and manage strategic relationships with AI vendors, platform providers, and technology partners.
AI Platform Engineering
Architect and build enterprise-grade AI platforms and developer environments.
Enable secure AI development through modern tooling, infrastructure, and automation.
Support the deployment and scaling of AI-powered applications and services.
Establish reusable frameworks, patterns, and best practices for AI engineering teams.
AI Enablement & Innovation
Research emerging AI technologies and assess their practical application within the enterprise.
Lead proof-of-concept initiatives and feasibility assessments for new AI opportunities.
Partner with cross-functional stakeholders to identify and prioritize high-impact use cases.
Drive innovation while balancing security, governance, and operational requirements.
AI Governance & Security
Implement secure-by-design principles across AI platforms and services.
Establish monitoring, compliance, and governance controls for responsible AI usage.
Partner with cybersecurity, risk, and compliance teams to ensure adherence to regulatory and ethical standards.
Develop frameworks for platform observability, model monitoring, and risk mitigation.
Enterprise AI Adoption
Enable AI-powered productivity tools, intelligent assistants, and enterprise search capabilities.
Champion AI literacy and best practices across both technical and business teams.
Contribute to organizational AI standards, documentation, and enablement programs.
Foster a culture of experimentation, learning, and responsible AI adoption.
Leadership & Collaboration
Provide technical leadership and mentorship to engineers and platform teams.
Partner with executive, business, and technology leaders to influence AI strategy and investment decisions.
Drive alignment across architecture, engineering, security, data, and product teams.
Promote engineering excellence, collaboration, and continuous improvement.
10+ years of experience in platform engineering, cloud infrastructure, software engineering, or enterprise architecture.
Enterprise AI Infrastructure & LLMOps / MLOps Architecture - Cloud AI Ecosystems: Deep architectural expertise in enterprise cloud AI suites (e.g., Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI) to build and provision scalable developer environments.
Proven experience building and operating enterprise AI/ML platforms in production, with ownership of platform architecture, scalability, governance, and adoption.
Deep expertise in Vertex AI and MLOps, including training pipelines, model registry, evaluation and approval workflows, and model serving.
Hands-on experience with Generative AI platforms, including model access and lifecycle management, prompt management, RAG, grounding, guardrails, evaluation frameworks, AI agents, and MCP integration.
Strong platform engineering and automation background, including Terraform, infrastructure-as-code, policy-as-code, CI/CD pipelines, and reusable self-service platform templates.
Experience implementing observability and FinOps practices for AI platforms, including tracing, drift detection, latency monitoring, token usage tracking, and cost optimization.
Advanced Python software engineering skills with a demonstrated ability to make and own critical architecture decisions.
Job Description
Insight Global is in search for a Principal Platform Engineer to architect and oversee the infrastructure for a Global Fashion Retailer. This is a strategic leadership role responsible for defining AI platform architecture, governance, scalability, and developer enablement across the organization. Reporting into a senior technology leadership team, this individual will bridge emerging AI capabilities with practical business applications while establishing the technical foundations required to securely develop, deploy, and manage AI solutions at scale. This role is ideal for someone who thrives at the intersection of platform engineering, cloud architecture, AI innovation, and enterprise transformation.
Responsibilities:
Enterprise AI Strategy & Architecture
Define the long-term vision, principles, and technical standards for enterprise AI platforms.
Develop and maintain an AI platform roadmap aligned with business and technology priorities.
Design scalable AI architecture that supports current and future AI initiatives.
Evaluate and manage strategic relationships with AI vendors, platform providers, and technology partners.
AI Platform Engineering
Architect and build enterprise-grade AI platforms and developer environments.
Enable secure AI development through modern tooling, infrastructure, and automation.
Support the deployment and scaling of AI-powered applications and services.
Establish reusable frameworks, patterns, and best practices for AI engineering teams.
AI Enablement & Innovation
Research emerging AI technologies and assess their practical application within the enterprise.
Lead proof-of-concept initiatives and feasibility assessments for new AI opportunities.
Partner with cross-functional stakeholders to identify and prioritize high-impact use cases.
Drive innovation while balancing security, governance, and operational requirements.
AI Governance & Security
Implement secure-by-design principles across AI platforms and services.
Establish monitoring, compliance, and governance controls for responsible AI usage.
Partner with cybersecurity, risk, and compliance teams to ensure adherence to regulatory and ethical standards.
Develop frameworks for platform observability, model monitoring, and risk mitigation.
Enterprise AI Adoption
Enable AI-powered productivity tools, intelligent assistants, and enterprise search capabilities.
Champion AI literacy and best practices across both technical and business teams.
Contribute to organizational AI standards, documentation, and enablement programs.
Foster a culture of experimentation, learning, and responsible AI adoption.
Leadership & Collaboration
Provide technical leadership and mentorship to engineers and platform teams.
Partner with executive, business, and technology leaders to influence AI strategy and investment decisions.
Drive alignment across architecture, engineering, security, data, and product teams.
Promote engineering excellence, collaboration, and continuous improvement.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.