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R92868 Senior Dev Ops Gen AI Engineer

Senior  Dev Ops GenAI Platform Engineer
R92868
NYC or Boston 
We’re seeking a hands-on engineer to help build and support infrastructure for our Generative AI (GenAI) enablement initiative. This role will initially focus on developing the centralized Model Context Protocol (MCP) server and contributing to the buildout of the AI Gateway—core components of our GenAI infrastructure. You’ll work closely with the Platform Engineering team, which provides the foundational platform services, and collaborate daily with the GenAI guild to support adoption and experimentation. This is not an AI modeling or research role, but a pragmatic full-stack DevOps engineering position focused on infrastructure, tooling, and enablement.
This position requires a high level of collaboration and interaction with technology teams across the department, and an ability to deliver in a fast-paced and evolving environment. The individual must be a self-starter with the ability to multi-task and work on a variety of assignments with people at all levels of the organization. Key Responsibilities

• Contribute to evolving GenAI infrastructure components such as centralized MCP server, agent orchestration frameworks, AI Gateway, prompt engineering utilities/toolchains etc.
• Work with the GenAI guild to identify practical use cases for GenAI tools, support onboarding sessions, office hours, internal demos, contribute to shared documentation, FAQs, and enablement playbooks.
• Partner with the Platform Engineering team to build out the centralized GenAI infrastructure.
• Assist engineering teams in experimenting with GenAI tools and environments.
• Troubleshoot integration issues and support early adopters.
• Own and maintain lightweight applications that demonstrate GenAI tool usage.
• Use Python and scripting tools to automate configuration, deployment, and monitoring tasks.
• Provide feedback to platform and strategy teams on tool performance, developer experience, and adoption blockers.

Keys to the Position

1. DevOps Engineering Expertise: Proven experience in a DevOps-style role focused on infrastructure, tooling, and enablement—ideally supporting emerging technologies like Generative AI.
2. Python Proficiency: Strong hands-on experience with Python for scripting, automation, and lightweight application development.
3. Cloud Infrastructure Knowledge: Familiarity with AWS services (e.g., EC2, IAM, CloudFormation) and SSO integration; able to contribute to decisions around authentication, hosting, and deployment architecture.
4. Platform Enablement Mindset: Demonstrated ability to build centralized infrastructure and reusable components (e.g., MCP server, AI Gateway) that accelerate development across multiple teams.
5. Collaboration & Communication: Excellent interpersonal and communication skills; comfortable working cross-functionally with platform teams, engineering guilds, and early adopters to support onboarding, troubleshooting, and enablement.
6. Standardization & Scalability Focus: Passion for creating standardized, secure, and scalable solutions that reduce duplication and improve developer experience across the organization.
7. GenAI Exposure (Nice to Have): Familiarity with GenAI tools or IDE integrations (e.g., GitHub Copilot) and experience supporting developer experimentation and adoption.
8. Location Flexibility: Preferred location is Boston or Needham, with flexibility depending on candidate fit and team needs.  NYC will work as well.  

Qualifications

• Experience with Python and basic full-stack development.
• Familiarity with AWS services (EC2, IAM, CloudFormation) and SSO integration.
• Comfortable working in a DevOps-style role focused on infrastructure and tooling.
• Strong communication skills and a collaborative mindset.
• Ability to work effectively in a fast-evolving environment with emerging technologies.

Nice to Have

• Exposure to GenAI platforms or IDE integrations (e.g., GitHub Copilot).
• Experience working with enablement or developer experience teams.
• Familiarity with MCP or other GenAI solutions and platforms.

 

Estimated Min Rate: $105000.00
Estimated Max Rate: $150000.00


What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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