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Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralFremontAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralFontanaAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralSan BernardinoAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
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Lead AI Cloud Platform Engineer
- Illinois, United States
- Illinois, United States
À propos
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
As a Lead AI Cloud Platform Engineer, you'll act as a full stack engineer who builds and operates the cloud application development and hosting platforms for Allstate. You'll have the primary accountability of owning, developing, implementing and operating Allstate’s Cloud platforms. As a Technology Specialist with expertise in GenAI Cloud Platforms, you will serve as a technical solutions expert within our AI solutions team, collaborating with strategic product teams to define their AI strategy and prioritize use cases that deliver business value through Google's Vertex AI, AWS and Azure AI Services. You will split time evenly in executing operational tasks to maintain the platform and servicing customer requests; and engineering new solutions to automate the build and operational tasks. They will serve as pair anchors being advocates of paired programming, test driven development, infrastructure engineering, and continuous delivery on the team.Key ResponsibilitiesProvide in-depth expertise in GenAI on Azure and AWS cloud platforms to support and enhance technical relationships with clients. This includes delivering product and solution briefings, creating demos, executing proof-of-concept projects, and collaborating directly with product management to prioritize solutions that drive consumer adoption of Azure AI Foundry, Azure AI Services, OpenAI, Agentic AI, Vertex AI, AWS Bedrock, AWS Sagemaker.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Azure/AWS/GCP AI.
Be a trusted advisor to our consumers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture.
Leverage a strong understanding of product, design and business priorities to solve high impact, highly complex problems.
Provide thought leadership, innovative ideas, and deliver cutting edge technical solutions across engineering/product teams
Engages in conversation with consumers and collaborates with account and partner teams to drive and qualify new opportunities, understand key technical objections, and resolve technical blockers.
Champions the engineering practices and helping teams define and setup frameworks using Terraform and automation
Maintain and enhance existing Terraform codebase.
Coaches junior team members.
Ability to present ideas and solutions.
7 or more years of experience (Preferred)
Knowledge of Prompt Engineering and AI open-source ecosystem.
Experience and skills with Azure Application and AI services.
Experience with AWS bedrock(Preferred)
Experience with Vertex AI (Preferred)
Knowledge of consuming large language model (LLM) and Foundational model APIs.
Experience in Terraform development.
Cloud Platforms: Azure, AWS, Google
Generative AI
Agentic AI
Programming Languages: Python
Infrastructure as Code (IaC): Terraform (including Tofu/Env0 tools)
Skills
AWS Cloud Computing, Cloud Applications, Cloud Platform, Cloud StrategiesCompensation
Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Compétences linguistiques
- English
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