Posted 29 days ago
CONFIDENTIAL: Principal Platform Engineer
@ Insight Global
Vancouver, British Columbia
SIGNALS
Overview
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.
Pay:
$180,000–$220,000 a year
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Source type not verified · insightglobal
- Employer posting date
- 2026-10-08
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-10-26
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 10+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Insight Global
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Insight Global is a talent, consulting, and AI company.
Full company description
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.
- LinkedIn followers
- 5,364,002
- People associated on LinkedIn
- 20,105
- Reported office locations
- 1224 Hammond Drive, Suite 1500, Atlanta, Georgia 30346, US
- 100 King St W, Suite 5210, Toronto, Ontario M5X 1A9, CA
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- 6601 Center Dr W, 5th Floor, Suite J, Los Angeles, California 90045, US
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- 1001 19th St N, Suite 1000, Arlington, Virginia 22209, US
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- 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
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- 1222 Demonbreun St, Suite 1100, Nashville, Tennessee 37203, US
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- 111 W. Houston Street, Suite 2005, San Antonio, Texas 78205, US
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- 111 South Main, Suite 2250, Salt Lake City, Utah 84111, US
- 1021 E Cary St, Suite 1850, Richmond, Virginia 23219, US
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- 330 Rush Alley, Suite 850, Columbus, Ohio 43215, US
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- 99 Bank St, Suite 1002, Ottawa, Ontario K1P 6B9, CA
- 345 King St, Suite 202, Kitchener, Ontario N2G 1B8, CA
- Business categories
- 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
- Other recorded names
- Insight Global
- Specialties
- Consulting
- Talent Services
- Staffing
- and International Staffing
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 1,001-5,000 employees |
| Headquarters | Atlanta, Georgia |
| Organization type | Privately Held |
| Year founded | 2001 |
| Specialties | ConsultingTalent ServicesStaffingand International Staffing |
| Open jobs on Jobsy | 283 |
| View page |
Job 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.
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