Applied AI Platform Engineer III — Cincinnati, OH

Role Overview: As an Applied AI Platform Engineer III , you will actively engage in your engineering craft, taking a hands-on approach to building the platforms, tooling, accelerators, and frameworks that other engineering teams build on. Your expertise will be pivotal in delivering platform capabilities that delight the engineers who depend on them, while driving tangible leverage and value across FQFeMaXZ'P F9 engineering investments. You will leverage your extensive engineering craftsmanship across platform engineering, distributed systems, and modern AI/ML and Data infrastructure, consistently demonstrating your strong track record in delivering high-quality, reusable, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and operate the enabling layer for AI engineering at scale.

Key Responsibilities:

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for engineering-leverage and adoption outcomes. Build platform capabilities that solve recurring problems once, well, for many teams-reducing per-team build and operate toil while ensuring consistency and compliance by default through high-quality, lean designs and implementations.

• Technical Leadership and Advocacy: Serve as the technical advocate for the platform as a product, ensuring capability integrity, feasibility, and alignment with the needs of the engineering teams who consume it. Lead requirement discovery with consuming teams, component design of platform services, frameworks, and the AI control plane, and their development, testing, integration, and support.

• Engineering Craftsmanship: Maintain accountability for the integrity of the platform architecture and for the enterprise tech-stack conformance baseline that engineering teams build against. Manage platform dependencies, code design, implementation, the data and policy-as-code enforcement layers, and the OpenTelemetry-based instrumentation substrate-building capabilities that are operable, instrumented, performant, and drift-resistant by design, to the production standards set by SRE. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, codify recurring patterns into reusable components and golden paths, and write high-quality, supportable, scalable code to ensure all platform KPIs (adoption, reliability-by-design, and developer experience) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.

• Customer-Centric Engineering: Develop lean platform capabilities through rapid, inexpensive experimentation to solve the real needs of consuming engineering teams. Engage with those teams before, during, and after delivery to ensure the right capability is delivered at the right time-and adopted, not shelved.

• Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering platform capabilities as lean, adoption-validated increments rather than big-bang builds, and keeping them supportable and maintainable.

• Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional partners: engineering, SRE, security and risk, data governance, and engineering leadership and architecture. Integrate their constraints into the paved roads so that the secure, compliant, and reliable path is the easy path. Deliver capabilities that are admissible-by-design and submit them for admission, co-defining service-level objectives with SRE, who set production standards and own the admission decision. Foster a collaborative environment that enhances team synergy and innovation.

• Advanced Technical Proficiency: Possess expertise in platform engineering and modern AI/ML infrastructure-internal developer platforms, MLOps/LLMOps, model serving, retrieval and vector infrastructure, eval and observability tooling, policy-as-code, container orchestration, IaC, and CI/CD at platform scale-including AI and Agentic SSDLC to deliver self-service, governed capabilities with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize platform solutioning and delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning.

• Domain Expertise: Quickly acquire domain knowledge of the enterprise data estate and the AI use-case patterns the platform must serve. Translate the needs of engineering teams, reference architectures, and governance requirements into reusable frameworks, the data platform, and governance-as-code enforcement. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

• Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.

• Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The team: US Yn4gKqTg wUf8pJ67n3 Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As 9ebBgMKs'b primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power 9ebBgMKs'b success. It is the engine that drives 2BwNXMGp, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help 2BwNXMGp operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The successful candid job

Your work will be crucial in activating the OCDAO refreshed strategy, extracting guidance from our leaders and sponsors and helping ensure our impact is delivered and measured across our technology, business and client delivery operations.

Recruiting for this role ends on 11/06/2026.

Work you'll do

This role will architect the data modernization efforts to enable the firm of the future, working cross-functionally with our various workstreams, advisors, and 2BwNXMGp leaders to achieve our next stage of growth.

• Lead the enablement of governed 3 rd , 2 nd and 1 st party data for the Ascend ecosystem via the integration of our Data Marketplace which includes contextual discovery, OGC and QRM guidend use case review and approval and secure provisioning + ongoing monitoring

• Work closely with cross-functional teams and leaders to deploy strategic capabilities such as 'data discoverability and enterprise search; data marketplace deployment and associated process re-imagination

• Building a scalable model and template to take learnings from the data consumption use case and prioritize deployment patterns across enterprise (Consulting, Tax, A&A, Global)

• Enable Enterprise Data Decisions for the firm of the future by being a liaison across business, technology and vendor team to manage large and prioritized use case activation teams.

The team

The OCDAO team is a trusted advisor to the firm's data powered evolution. We are also actively leading by example and taking the 8TdNdu3T-DfY-BMzKuhg7 story to the world's leading organization's and CDAOs. Today, data and AI are driving growth and competitive advantage-leading the business, not just enabling it. As a result, CDAOs hold one of the most complex and challenging roles in business. Those who excel as data and AI leaders operate at the highest level to create value for their organizations.

Everything the OCDAO aims to accomplish is anchored around the power of data. We are organized to deliver the following key services:

• Data Marketplace and Concierge Services

• Data Architecture Services

• Business Outcome Enablement (Your Role)

• Market Shaping (taking the 8TdNdu3T-DfY-BMzKuhg7 experiences to our clients and helping them transform & succeed)

Qualifications

• Senior Manager

• 10+ years of professional experience and leadership in data led innovation

• Deep Data and Technical expertise to solution emerging technology/infrastructure transformation

• Deep expertise in architectural design, data compute ecosystem, data flow and consumption patterns

• Deep expertise in data transformation, curation and processing including ETL/ELT, Knowledge Graphs, Search and Indexing for data discoverability

• Demonstrated passion for and interest in emerging technology & data/analytics leadership

• Ability to interact across all levels within the firm and with client executives

• Excellent attention to detail and a track record of producing high quality work products

• Advanced ability to communicate effectively with clarity and precision in both written and verbal communications - especially with executive audiences

• Proven ability to manage and drive projects and initiatives to completion and deliver results

• Comfortable with ambiguity and continually evolving priorities

• Strong organizational and coordination skills

• Ability to work independently and as part of a virtual team

• Strong executive presence with a track record for working with senior leaders

• Understanding of ACP and the challenges faced by their leaders

• Passion for, and interest in, emerging technology trends

• Flexibility/adaptability - comfortable working with ambiguity and continually evolving priorities

• Ability to take ownership and manage different levels of stakeholders

• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At 2BwNXMGp, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600-$338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.