Sr. AI Platform Architect

The Bronx

United States

On-site

USD 132,000 - 220,000

Full time

14 days+

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Job summary

Scion Staffing, Inc. is recruiting a Sr. AI Platform Architect for a robotics-focused client in the Boston area. The role is full-time with a hybrid schedule in North Reading, MA, and exceptional remote candidates will be considered.

You will define scalable AI architecture, establish engineering standards, and lead enterprise-grade AI platform integrations across cloud AI, data, and enterprise systems while ensuring governance and security.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 6+ years of IT experience across enterprise architecture, AI/ML, and/or generative AI.
  • Experience architecting and implementing enterprise-scale AI solutions.
  • Strong Azure experience and working knowledge of Google Cloud.
  • Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI, Vertex AI, and Snowflake/Cortex AI.
  • Knowledge of data architecture, integration, governance, security, MCP, CI/CD, and Infrastructure as Code.

Responsibilities

  • Define AI Architecture: Translate AI strategy into scalable architecture, roadmaps, integration patterns, and reusable standards across AI, data, applications, and enterprise platforms.
  • Establish AI Engineering Standards: Develop best practices for MLOps, LLMOps, agentic AI, model/agent lifecycle management, deployment, monitoring, and evaluation.
  • Lead AI Platform Integration: Guide integration across cloud AI, data, and enterprise SaaS platforms and lead the architecture for a secure, governed MCP capability connecting AI agents with enterprise systems and data.
  • Evaluate Emerging Technology: Assess new AI platforms, models, frameworks, and methodologies and recommend solutions based on value, scalability, etc.
  • Drive AI Adoption: Partner with business and technology leaders to identify high-value use cases and move AI initiatives from experimentation into production.
  • Establish Governance: Partner with security and risk leaders on AI governance, data privacy, model risk, responsible AI, compliance, and security.
  • Optimize for Scale: Ensure AI solutions are reliable, scalable, cost-effective, and operationally ready.

Skills

GenAI & LLMs
MLOps
AI architecture
LLMOps
Azure
Security & governance

Education

Bachelor's degree in CS/IS or related field

Tools

Copilot Studio
Azure AI
Vertex AI
Snowflake/Cortex AI
Google Cloud

Job description

Scion Technology has been engaged to conduct a search for an experienced Sr. AI Platform Architect for our client, a pioneering team pushing the boundaries of robotics in Boston! This is a full-time, direct hire position offering a hybrid schedule in North Reading, MA. *Exceptional remote candidates will be considered.

POSITION OVERVIEW

Join a high-impact AI transformation initiative where you’ll help define how AI is architected, governed, and scaled across the enterprise. This role combines enterprise architecture, AI engineering, data, security, and organizational enablement, giving you the opportunity to influence both technology strategy and adoption.

RESPONSIBILITIES
  • Define AI Architecture: Translate AI strategy into scalable architecture, roadmaps, integration patterns, and reusable standards across AI, data, applications, and enterprise platforms.
  • Establish AI Engineering Standards: Develop best practices for MLOps, LLMOps, agentic AI, model/agent lifecycle management, deployment, monitoring, and evaluation.
  • Lead AI Platform Integration: Guide integration across cloud AI, data, and enterprise SaaS platforms and lead the architecture for a secure, governed MCP capability connecting AI agents with enterprise systems and data.
  • Evaluate Emerging Technology: Assess new AI platforms, models, frameworks, and methodologies and recommend solutions based on value, scalability, etc.
  • Drive AI Adoption: Partner with business and technology leaders to identify high-value use cases and move AI initiatives from experimentation into production.
  • Establish Governance: Partner with security and risk leaders on AI governance, data privacy, model risk, responsible AI, compliance, and security.
  • Optimize for Scale: Ensure AI solutions are reliable, scalable, cost-effective, and operationally ready.
QUALIFICATIONS
  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 6+ years of IT experience across enterprise architecture, AI/ML, and/or generative AI.
  • Experience architecting and implementing enterprise-scale AI solutions.
  • Strong understanding of GenAI, LLMs, Agentic AI, MLOps, and LLMOps.
  • Strong Azure experience and working knowledge of Google Cloud.
  • Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI, Vertex AI, and Snowflake/Cortex AI.
  • Knowledge of data architecture, integration, governance, security, MCP, CI/CD, and Infrastructure as Code.
COMPENSATION & BENEFITS

This full-time position offers an annual base salary up to $220k, commensurate with experience, plus bonus potential and equity. The organization provides a robust benefits package that includes comprehensive medical, dental, and vision coverage in addition to paid time off.

ABOUT OUR FIRM

Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate based on race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class.

We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and the candidates we represent.

For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualified applications with arrest and conviction records.

We engage in socially conscious business practices and believe that diverse, inclusive, and non-biased talent and recruitment processes are foundational to the success of Scion as well as every client organization with whom we partner.

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