AI & Cloud Platform Consultant Expert

Allstate • McCullom Lake, IL

2d

About The Position

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 Allstate Data & Analytics Technology (DAT) is seeking an AI & Cloud Platform Consultant Expert who can help design, build, and optimize the next generation of our data and analytical platform ecosystem, enabling our business and technology partners to achieve data to insights in less than 24-hours. This role blends hands-on engineering with strategic consulting, enabling teams across the enterprise to adopt modern development and integration practices, cloud-ready architectures, and emerging AI capabilities. You will partner with architecture, engineering, security, and operations teams ensuring our platforms are scalable, resilient, and aligned with Allstate’s technology strategy. This position is ideal for someone who thrives in complex environments, enjoys solving hard problems, and confident in forward/reverse engineering technical solutions while expertly managing priorities, value, and time to achieve measurable impact to business outcomes. Your initial focus will be partnering with our Enterprise Architecture (EA) and DAT product engineering teams on designing, operationalizing and scaling our Azure Fabric, PowerBI, ML and AI/Foundry platform components, living into our Data-in-Place strategy, providing data to insights in less than 24 hours through human/agentic solutions. The longer-term focus will be architecting and engineering a multi-cloud strategy/solution in GCP and AWS.

Requirements

• 7+ years of progressive experience in software engineering, platform engineering, and/or solution architecture, with demonstrated impact in enterprise environments.
• Proven expertise designing and delivering cloud-native analytical architectures on at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud Platform), including production-scale deployments.
• Strong hands-on proficiency in at least two of the following technologies: Python, Spark/Scala, Terraform/Env0, and SQL, with the ability to apply them to real-world platform and data engineering challenges.
• Solid understanding of cloud networking concepts, including virtual networks, routing, security boundaries, and hybrid connectivity patterns.
• Demonstrated ability to design and implement scalable, secure, and resilient data, security, and integration architectures suitable for enterprise-grade solutions.
• Experience with DevOps and platform engineering practices, including CI/CD pipelines, infrastructure as code, Github, and automated environment provisioning.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical audiences and non-technical stakeholders.
• Strong analytical and problem-solving skills, with comfort operating in fast-paced, evolving environments and navigating ambiguity.

Nice To Haves

• Experience designing and scaling analytical platforms that are widely adopted by engineers, data scientists, and business analysts across an organization.
• Hands-on experience with Azure Fabric, Azure AI services, MLOps practices, or enterprise AI integration patterns, including model deployment, monitoring, and lifecycle management.
• Working knowledge of AI/ML concepts, including model integration, inference patterns, and enabling AI‑driven features within production applications.
• Exposure to event‑driven architectures, including messaging systems, pub/sub models, or real‑time data streaming platforms.
• Background in platform governance, standards definition, or enterprise architecture, with an understanding of balancing guardrails and developer autonomy.
• Experience with modern cloud platforms (Azure preferred), including containerization and orchestration technologies such as Docker and Kubernetes.

Responsibilities

• Act as a trusted technical advisor to engineering and product teams on platform architecture, modernization, and best practices; build credibility and influence with engineering and digital product leadership to shape backlogs, standards, and engineering practices.
• Provide strategic direction for platform evolution, ensuring business and technology roadmaps are aligned both tactically and strategically, from near‑term delivery through long‑term capability development.
• Design, prototype, and evolve core platform components, contributing to the broader enterprise architecture and enabling engineering teams with scalable, secure, and well‑documented reference solutions.
• Evaluate, design, and integrate AI/ML capabilities into platform services, including model consumption patterns, automation, and intelligent workflows that deliver measurable business value.
• Lead platform assessments and architectural reviews, conducting stakeholder alignment, risk analysis, and structured problem‑solving to support high‑priority initiatives and critical decision‑making.
• Influence Discovery, Framing, and Inception activities across the ecosystem, applying architectural simplicity and sound engineering principles to drive clear outcomes and reduce complexity.
• Apply industry standards and assess emerging technologies, synthesizing and communicating relevant insights to the broader engineering community to ensure platform solutions meet enterprise expectations.
• Collaborate closely with security, risk, and compliance teams to ensure platform architectures adhere to governance, regulatory, and security requirements by design.
• Provide technical mentorship and thought leadership, including documentation standards, and knowledge sharing across platform consultants and engineering teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed