Job Description

The Director, Agentic Content Orchestration is a high-velocity, operational leadership role responsible for building, launching, and aggressively scaling our agentic content Center of Excellence. This is a foundational build-and-scale role with a dual mandate: lead client engagements that ship enterprise-grade AI agents to production, and construct the centralized machinery - standards, enablement, intake, and tuning - that lets Perficient and its clients adopt agentic content orchestration safely at scale.

Rather than managing localized content workflows, this leader builds the operating system: orchestration architecture, platform governance, ingestion strategies, agent tuning protocols, and a tiered enablement roadmap designed for exponential growth. The immediate mandate is to stand up the CoE framework and rapidly scale certified practitioners across Perficient and client teams, serving clients in Automotive & Industrial, Retail & Consumer, BFSI, and HCLS. Production is the bar. Demos don't count.

Responsibilities

CoE Buildout & Scaling (25%)

• Construct the CoE from the ground up: design the operating model, team structure, delivery ceremonies, and support mechanisms
• Own the practitioner activation funnel: recruitment into the program, onboarding, certification, and ongoing support for practitioners across Perficient and client teams
• Architect and run a high-throughput train-the-trainer program, standing up local champions across Perficient delivery teams and client organizations
• Build the reusable assets - patterns, playbooks, and evaluation harnesses - that make every engagement faster and safer than the last
• Hire, coach, and develop the core CoE team, owning performance management and career development

Client Delivery Leadership (25%)

• Lead agentic content orchestration engagements for enterprise clients, owning delivery accountability from architecture through governed production deployment
• Enforce the CoE's orchestration architecture on every engagement: single-agent and multi-agent patterns, prompt architecture, tool calling and MCP integration, memory and session management, RAG, human-in-the-loop controls, evaluation, and observability
• Partner with client product and security leadership so agent systems meet enterprise security, compliance, and audit expectations
• Drive delivery execution: sprint cadence, resolution of complex technical and delivery blockers, and shipping production-ready agents on committed timelines
• Support pursuits, scoping, and estimation for agentic orchestration work, representing the CoE in client pitches and senior forums

Strategic Governance & Standards (20%)

• Define the reference architecture and the golden rules for platform usage: brand safety constraints, legal compliance baselines, and data privacy boundaries for content agents
• Structure access tiers, workspace permissions, and approval gates required to safely onboard new teams and clients
• Drive change management toward automated execution, aligning leaders across Marketing, Legal, Compliance, and IT without relying on direct authority

Intake, Triage & Operating Model (15%)

• Design and maintain the intake engine - scoring rubrics and priority matrices - used to evaluate, queue, and accept automation requests from business units and client teams
• Standardize fragmented, manual content workflows into predictable, AI-ready blueprint templates
• Act as the primary liaison to platform and infrastructure partners, owning vendor relationships, roadmap alignment, and tooling decisions for the CoE
• Evaluate emerging platforms, frameworks, and models; fold what's real into the orchestration strategy and ignore what's noise
• Build executive dashboards measuring adoption velocity, operational time saved, content throughput, and CoE return on investment

Agent Tuning & Performance (15%)

• Establish the feedback pipeline to log, track, and resolve agent failures, output errors, and brand guideline deviations as adoption scales
• Direct continuous tuning of content sub-agents (authoring, QA, compliance) to raise quality and reduce friction for a growing user base

Qualifications

• 10+ years across technology delivery, content systems, or operations leadership, including 5+ years leading teams, with a proven history of building a Center of Excellence, shared services unit, or enablement capability from the ground up
• Deep expertise in production AI agent systems (multi-agent orchestration, prompt architecture, RAG, tool integration via MCP, memory, evaluation), whether you built them yourself or led the teams that did; expect us to ask what you shipped, what broke, and what you changed
• Demonstrated success driving rapid platform adoption across dozens of enterprise users on tight timelines
• Fluency in enterprise content ecosystems: workflow platforms (e.g., Workfront, Jira), enterprise CMS and DXP (e.g., AEM, Sitecore, Optimizely, Sanity), and agentic content platforms (e.g., Gradial)
• Exceptional change management and cross-functional negotiation skills, with a record of shifting operational culture across siloed teams without direct authority
• Client-facing leadership skills: you can explain an orchestration architecture to a CISO and a CMO in the same meeting, and both leave knowing what to do next
• Ability to travel up to 25%

Preferred Qualifications

• Hands-on software or AI engineering background
• Deep delivery experience in BFSI or HCLS, where audit, model risk, and release controls shape AI practice
• Familiarity with responsible AI principles, AI governance frameworks, and enterprise model risk management
• Prior consulting or SI delivery leadership

Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $165,000 to $185,000. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.