New opportunity

AI Content Platforms Manager

Soni Resources · Austin, United States

About this role

Soni Resources is recruiting an AI Content Platforms Manager for a client. The role leads the strategy, implementation and modernization of enterprise content and knowledge platforms, alongside AI-powered solutions that improve knowledge discovery, document processing and automation in a regulated environment.

Responsibilities

Lead, hire, mentor and manage cross-functional engineering, integration, knowledge and systems administration teams. Set priorities, allocate resources and deliver concurrent initiatives.
Define roadmaps for enterprise content management and knowledge management platforms. Modernize document management and content workflows; assess architecture, integrations and build-versus-buy decisions; manage vendors, budgets and platform investments. Report progress, risks and recommendations to stakeholders and executives.
Design and implement AI-powered knowledge solutions, including intelligent document processing, enterprise search and knowledge agents. Develop knowledge models, metadata strategies, knowledge graphs, ontologies and retrieval frameworks. Work with architecture and AI teams on secure, governed, production-ready solutions, and define KPIs for adoption, effectiveness and business value.
Establish governance, auditability and risk management practices, and ensure platforms meet applicable security and regulatory requirements, including HIPAA and SOC 2.

Required qualifications

Bachelor's degree in Computer Science, Information Systems, Information Technology, Software Engineering, Computer Engineering or a related technical field, or equivalent professional experience.
8+ years in software engineering, platform engineering, technology delivery or technical leadership. Experience leading technical teams and delivering large-scale enterprise initiatives from strategy through implementation.
Understanding of enterprise architecture, integration and platform modernization; experience in a highly regulated industry such as healthcare, insurance or financial services; knowledge of security and compliance controls; and experience delivering production AI-enabled solutions and enterprise technology transformation. Strong communication, stakeholder management and ability to balance competing priorities are required.

Preferred experience: One or more of LLMs, RAG, AI agents, knowledge graphs, ontologies, enterprise knowledge management, intelligent document processing, domain modeling, ECM, Azure, AWS, API integration or enterprise application architecture. The posting lists Austin, TX and describes the position as direct hire.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Enterprise Content ManagementKnowledge ManagementIntelligent Document ProcessingEnterprise SearchKnowledge GraphsOntologiesMetadata StrategyKnowledge ModelingAI AgentsLarge Language ModelsRetrieval-Augmented GenerationDomain ModelingAzureAWSAPI IntegrationEnterprise ArchitectureSystems IntegrationPlatform ModernizationHIPAASOC 2Technical LeadershipVendor ManagementStakeholder Management

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Lead multidisciplinary delivery
The posting calls for hiring, mentoring and managing engineers, integration specialists, knowledge engineers and system administrators while allocating resources across concurrent initiatives.
Modernize content and knowledge platforms
The manager owns ECM and knowledge-management roadmaps, with responsibility for improving document management, content workflows and automation from strategy through implementation.
Deliver production AI knowledge solutions
The role covers intelligent document processing, enterprise search and knowledge agents, supported by metadata, knowledge models and retrieval frameworks. It also calls for KPIs covering adoption, effectiveness and business value.
Embed governance and compliance
The posting assigns responsibility for security, auditability and risk management across content, knowledge and AI platforms, including applicable HIPAA and SOC 2 requirements.
Make and communicate investment decisions
The manager evaluates architecture, integrations and build-versus-buy options; manages vendors, budgets and platform investments; and reports risks and recommendations to executives and stakeholders.

Likely challenges to think through

Modernization without disrupting delivery
A likely challenge is balancing changes to document workflows and integrations against ongoing platform operations while multiple initiatives compete for resources. Prepare a phased-roadmap example that shows sequencing, dependencies and risk communication; this is a preparation hypothesis, not a reported employer problem.
AI usefulness versus control
Production search and knowledge agents may need to improve discovery without weakening access controls, auditability or regulatory compliance. Prepare to explain how you would assess value and govern deployment together; the posting does not identify a specific control gap.
Knowledge structure versus implementation effort
Metadata, ontologies and retrieval frameworks can support scalable AI, but maintaining them requires effort across content and technical teams. Prepare a rationale for choosing the level of modeling needed for a use case and measuring whether it improves effectiveness; this trade-off is inferred from the stated duties.
Competing investment priorities
Build-versus-buy decisions, vendor commitments and budgets may pull against delivery speed or long-term flexibility. Prepare an example of comparing options against business objectives and presenting a recommendation with explicit risks; no particular vendor or budget constraint is stated.

Practice your answers

Technical practice

How would you build a roadmap for modernizing enterprise content and knowledge platforms?

What to coverThe role owns ECM and knowledge-management roadmaps and improvements to document workflows. Suggested answer focus: assess current workflows and constraints, sequence changes by business value and risk, and explain how you would deliver improvements without disrupting existing operations.

How would you evaluate an integration architecture for content and knowledge platforms?

What to coverThe posting calls for enterprise architecture, systems integration, and platform modernization. Suggested answer focus: explain how you would assess data flows, API boundaries, access controls, reliability, and maintainability across connected systems.

When would you build rather than buy a platform capability?

What to coverBuild-versus-buy decisions, vendors, budgets, and platform investments are explicit responsibilities. Suggested answer focus: compare fit, integration effort, security and governance needs, total cost, vendor dependence, and long-term flexibility.

How would you design intelligent document processing for an enterprise content workflow?

What to coverIntelligent document processing and document-workflow modernization are stated areas of work. Suggested answer focus: describe ingestion, extraction, validation, exception handling, and how you would check processing quality before automating downstream steps.

How would you improve enterprise search for reliable knowledge discovery?

What to coverThe role covers enterprise search and retrieval frameworks; RAG is listed as preferred experience. Suggested answer focus: discuss indexing, access-aware retrieval, relevance evaluation, and, if using RAG, how retrieved evidence supports generated answers.

How would you choose between metadata, an ontology, and a knowledge graph?

What to coverThe posting explicitly names metadata strategies, knowledge models, ontologies, and knowledge graphs. Suggested answer focus: explain what each adds to content discovery, how you would maintain it, and when its complexity is justified.

What would make a knowledge agent ready for production?

What to coverThe role includes knowledge agents and secure, governed, production-ready AI solutions. Suggested answer focus: define the agent’s permitted actions, access boundaries, human oversight, monitoring, and criteria for limiting or stopping unsafe behavior.

How would you establish governance and auditability across content and AI platforms?

What to coverThe posting calls for risk management and applicable security and regulatory controls, including HIPAA and SOC 2. Suggested answer focus: cover access decisions, data handling, traceable changes and outputs, and how you would verify controls with the relevant security and compliance partners.

How would you measure whether an AI knowledge solution delivers value?

What to coverDefining KPIs for adoption, effectiveness, and business value is an explicit duty. Suggested answer focus: distinguish usage from task success, establish a baseline, and pair outcome measures with quality and risk indicators.

How would you investigate a sudden decline in search or document-processing quality?

What to coverThe role spans enterprise search, retrieval, and intelligent document processing. Suggested troubleshooting focus: isolate changes in source content, metadata, integrations, or processing stages; then compare results against known examples before choosing a fix.

Behavioural practice

Tell me about a time you developed a multidisciplinary technical team.

What to coverThe posting calls for mentoring, coaching, performance management, and collaboration across several technical disciplines. Suggested response: use a real situation, explain your specific leadership actions, and describe the resulting team or delivery outcome.

Describe a time you had to allocate limited resources across competing initiatives.

What to coverPrioritization, resource allocation, and concurrent delivery are explicit responsibilities. Suggested response: set out the competing demands, how you made and communicated trade-offs, and the measurable result.

Tell me about a time you influenced stakeholders on a difficult platform decision.

What to coverThe role requires strategic recommendations and communication with business partners and executives. Suggested response: explain the decision context, how you presented options and risks, and what happened after stakeholders acted.

Describe a time you coordinated technical groups to deliver an enterprise change.

What to coverThe posting emphasizes cross-functional teams and delivery from strategy through implementation. Suggested response: identify the groups and dependencies, your actions to resolve friction, and the outcome.

Tell me about a time security or compliance concerns changed a technology plan.

What to coverThe role requires balancing innovation with operational excellence and regulatory requirements. Suggested response: describe the risk, how you worked with the relevant partners to adapt the plan, and the resulting delivery and control outcomes.

Sharpen your knowledge

Topics to prepare

Content and knowledge platform modernization
The posting calls for ECM and knowledge-management roadmaps and improved document workflows. Revision exercise: compare a legacy document workflow with a modernized one, identifying migration dependencies, integration risks and measures of improvement.
Enterprise architecture and build-versus-buy trade-offs
Architecture, systems integration, vendor decisions and platform investment are explicit responsibilities. Revision exercise: outline decision criteria for building or buying a content-platform capability, including integration fit, operating costs, security and long-term flexibility.
Knowledge modeling and retrieval
The role develops metadata strategies, knowledge models, graphs, ontologies and retrieval frameworks. Revision exercise: sketch how document metadata and relationships could support enterprise search; explain when a graph adds value over metadata alone.
Production AI knowledge solutions
The posting specifies intelligent document processing, enterprise search and knowledge agents, plus production AI delivery. Revision exercise: trace a document from ingestion to a search result or agent response, noting quality checks and operational failure points. LLMs and RAG are preferred experience, not universal requirements.
Security, governance and auditability
HIPAA, SOC 2, enterprise security controls and risk management appear in the posting. Revision exercise: map access decisions, audit records and review ownership across a content-to-AI workflow, explaining which controls would need validation for the applicable environment.
Technical leadership and outcome measurement
The role manages multidisciplinary teams, competing initiatives, stakeholders and AI adoption and value metrics. Revision exercise: draft a prioritization framework and distinguish delivery milestones from adoption, effectiveness and business-value KPIs.

Skills to revise

Draft a phased platform roadmap
Practice sequencing document-workflow modernization, integration work and AI knowledge capabilities, with dependencies, resource constraints and decision gates. This reflects the stated responsibility to execute ECM and knowledge-platform roadmaps across concurrent initiatives.
Review an integration design
Practice drawing the interfaces between a content platform, document processing and enterprise search, then identify data ownership, access boundaries and failure handling. This supports the posting’s architecture, integration and production-readiness responsibilities; no particular API product is mandated.
Build a sample metadata model
Using fictional documents, define fields, relationships and retrieval criteria, then test whether sample queries find the right material. This is a preparation exercise for the stated metadata, knowledge-modeling and retrieval work, not a requested take-home project.
Prepare a vendor decision brief
Practice writing a one-page build-versus-buy recommendation covering integration, governance, budget, vendor risks and trade-offs. The posting assigns vendor management, platform investment and executive recommendations to this role.
Present an executive status and risk update
Practice a short update that states progress, resource conflicts, compliance risks, proposed decisions and outcome metrics. This directly reflects the required stakeholder communication and delivery of measurable business outcomes.

Your preparation checklist

Map evidence to the requirements
Create a one-page evidence sheet covering the stated 8+ years of relevant experience, technical education or equivalent experience, regulated-industry work, enterprise delivery, team leadership and production AI. Use only examples you can substantiate.
Build an enterprise delivery walkthrough
Prepare one real initiative from strategy through implementation. Show the architecture, integrations, modernization decisions, your role, measurable outcomes and what you would change.
Rehearse a leadership example
Prepare a specific account of hiring or coaching a multidisciplinary technical team while allocating resources across competing initiatives. Explain the trade-offs and results.
Sketch a content-platform modernization plan
As a hypothetical exercise, draw a phased ECM and knowledge-management roadmap covering document workflows, integrations, build-versus-buy criteria, vendor considerations and budget trade-offs. State your assumptions.
Design a governed knowledge solution
Sketch a hypothetical document-processing and enterprise-search flow, including metadata, retrieval and a possible knowledge agent. Explain how you would evaluate accuracy, adoption and business value; treat RAG or knowledge graphs as options, not mandatory components.
Prepare a controls and risk discussion
Outline how you would address access controls, auditability, governance and production risks for content and AI platforms. Be ready to discuss applicable HIPAA and SOC 2 considerations without assuming the client's exact obligations.
Practice an executive status briefing
Draft a short update with progress, key risks, resource or vendor decisions and a recommendation. Tie the proposed decision to measurable business outcomes.
Write targeted employer questions
Ask which content platforms and workflows are in scope, what AI solutions are already in production, which regulatory controls apply, how the teams are organized and what outcomes would define success.

Availability last checked: Nov 4, 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in United States. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…