Generative AI Engineer Position Available In Cumberland, Maine

Akkodis is seeking a Sr Manager, AI/ML Infra Engineering for Fulltime with a client located at Portland

ME 04101

(Remote) Job title:

Sr Manager, AI/ML Infra Engineering Location:

Remote Job type:

Fulltime Salary:

$180k/yr. – $250k/yr. With benefits About the

Team/Role:

As a Senior Manager, AI/ML Infrastructure, you will be responsible for leading the team focused on cloud-native AI/ML infrastructure, supporting both GenAI and traditional AI/ML technologies and applications. This includes AI model productionalization (end-to-end AI/ML model lifecycle: development, deployment, monitoring, refresh, etc.), Data Lakehouse, and related technologies, systems, and tools. You will execute technology development and architecture to ensure that platforms, systems, tools, models, and services are technically sound with strong security, quality, reliability, usability, scalability, performance, efficiency, and operability to meet our growing needs. Balancing both near-term and long-term goals is crucial in this role. Collaboration is key, as you will work closely with leaders and teams across Tech, Digital, Data & Analytics, Risk & Compliance, Line of Business (commercial, digital, and technology), Security, Central Architecture & PaaS, Global Tech Services, Finance, Marketing, and Customer Service to understand their AI/ML infrastructure needs and align development and productionalization accordingly.

How You Will Impact:

This is a fantastic opportunity for a highly motivated and passionate technical leader to apply deep expertise in AI/ML infrastructure to develop technology, platforms, and services that will support multiple lines of business and a large customer base. Your work will generate real business impact within a fast-growing commerce platform and payment technology company during its technology transformation stage. By leading the development of AI/ML infrastructure, you will contribute to solving large-scale and complex problems, helping us meet increasing customer demands. Your role will include technical ownership of our AI/ML infra engineering & services, covering architecture, technical direction, engineering best practices, and quality/compliance, along with ensuring architectural integration with other platforms, products, and services. Your leadership will directly support our AI/ML infrastructure vision-to create a unified, scalable, and intelligent AI/ML infrastructure that supports both classical ML and Generative AI use cases.

What You Will Bring:

We are looking for a highly motivated, technically deep, and experienced Engineering leader to grow and manage a team of high-performing engineers in the AI/ML infrastructure engineering space. This leader will work closely with team members from the Data, AI, and Risk Technology (DART) organization in a hands-on way, providing guidance and coaching. The ideal candidate will be a hands-on leader with deep technical expertise in building and scaling AI/ML infrastructure for both classical and generative AI/ML use cases. 10+ years of AI/ML infrastructure engineering experience, including scaling both classical and generative AI. Expertise in cloud platforms (one or more of AWS, Azure, GCP, Oracle), containerization (Kubernetes), and MLOps tools. Proven experience with AI/ML model deployment, data lakehouse architectures, and data pipeline optimization. Demonstrated leadership in managing engineering teams and complex AI/ML projects. Additionally, strong people leadership and communication skills will be essential for driving alignment across the organization and ensuring effective collaboration with cross-functional teams.

Benefits:

Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Disclaimer:

These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for

Employers San Francisco Fair Chance Ordinance Best Regards, Aryan Kumar Gaurav Resource Development Manager D:

610-632-8567

E:

aryan.gaurav@akkodisgroup.com Akkodis Enterprise Solutions World Leader in IT and Engineering Workforce Solutions ( An Adecco Group Company ) https://www.akkodis.com/ This message is intended only for the designated recipient(s). It may contain confidential or proprietary information and may be subject to other contractual or confidentiality protection. If you are not a designated recipient, you may not review, copy or distribute this message. If you receive this message in error, please notify the sender by reply email and delete this message. Akkodis, part of The Adecco Group North America located at 4800 Deerwood Campus Parkway, Building 800, Jacksonville, FL 32246, is committed to data privacy compliance. To learn more about how we collect and process personal information, please read our General Privacy Policy located on the website above.