AI Implementation & Solutions Associate Director

You Belong Here

The Protiviti Career providesopportunityto learn, inspire, and advance within a collaborative and inclusive culture.  We hire curious individuals for whom learning is a passion. We lean into our mission:We Care. We Collaborate. We Deliver.

At every level, we champion leaders wholiveour values ofintegrity, inclusion, innovation, and commitment to success. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm. 

Where We Need You

Protiviti is looking for a Technology Consulting Associate Director to join our growing Enterprise Data Analytics and AI team. 

What You Can Expect

The Factory Associate Director will lead the client and engagement lifecycle for AI Factory opportunities, frominitialqualification and solution shaping through contracting, delivery, and follow-on planning. This person will work closely with clients, account teams, AI architects, engineers, and other specialists to define achievable project scopes, prepare proposals and statements of work, manage delivery, andmaintainstrong client relationships. 

The role requires a combination of consulting, sales, project management, and technical leadership. Although programming will not be the primary day-to-day responsibility, the Factory Associate Director must be well versed in AI solution development and capable of contributing directly to architecture, prototyping, programming, troubleshooting, and solution refinement when needed. 

What Will Help You Be Successful

• You are passionate about building trusted relationships with client executives, business stakeholders, and technology leaders. 

• You enjoy helping clients solve complex business challenges through innovative AI-enabled solutions and delivering exceptional client experiences. 

• You excel at developing new business opportunities, supporting sales pursuits, and expanding client relationships through networking, collaboration, and strategic client engagement. 

• You communicate complex technical concepts effectively and can translate AI capabilities into meaningful business value for diverse audiences. 

• You are viewed as a trusted advisor who can lead cross-functional teams, drive successful client outcomes, and foster a culture of collaboration, accountability, and continuous learning. 

Do Your Talents Include the Following?

Client Development and Sales Support

• Successfully pursuing business development opportunities andidentifyingand implementing strategies to obtain new work or clientele.   

• Partnering with account teams toqualifyAI opportunities anddeterminetheir fit for the Factory delivery model. 

• Leading discovery conversations to understand clientobjectives, users, workflows, data, systems, constraints, and expected value. 

• Helping clients define a focusedinitialuse case that can bedemonstratedand evaluated through a prototype or pilot. 

• Preparing proposals, statements of work, estimates, presentations, and other pursuit materials.

• Defining project scope, deliverables, milestones, responsibilities, assumptions, exclusions, and acceptance criteria. 

• Presenting the Factory’s capabilities and delivery approach to client executives and technical stakeholders.

• Identifyingopportunities to transition successful Factory engagements into pilots, production implementations, or broader transformation initiatives. 

Client and Engagement Management

• Serving as a primaryclientcontact throughout the engagement. 

• Establishing project governance, communication expectations, delivery cadence, and decision-making processes. 

• Managing scope, schedule, budget, resources, risks, dependencies, issues, and stakeholder expectations. 

• Facilitating project kickoffs, working sessions, status meetings, demonstrations, feedback reviews, and executive updates. 

• Coordinating cross-functionalteams thatmay include AI engineers, solution architects, designers, data specialists, industry SMEs, risk professionals, and change specialists. 

• Translating client feedback into clear, prioritizeddirectionfor the delivery team. 

• Identifyingand addressingscopechanges before they affect project commitments. 

• Managingengagementfinancials and supporting forecasting, invoicing, and other project administration. 

• Ensuring that projects conclude with documented outcomes, recommendations, and an agreed path forward. 

AI Solution Delivery and Technical Leadership

• Understanding how AI-enabled applications are designed, developed, tested, deployed, and integrated into client environments. 

• Guiding the development of prototypes and pilots that address real-world business problems anddemonstratemeasurable value. 

• Evaluating technical feasibility, delivery complexity, data readiness, integration needs, and implementation risks. 

• Working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud to support AI solution delivery. 

• Applying knowledge of generative AI, machine learning, agentic systems, retrieval-augmented generation, APIs, data integration, and modern application architectures. 

• Using programming languages and frameworks relevant to AI application development, including Python,JavaScriptor TypeScript, and Node.js. 

• Understanding backend services, APIs, application logic, data pipelines, and frontend application development. 

• Reviewing solution architectures, implementation approaches, and technical deliverables. 

• Contributing hands-on to architecture, programming, prototyping, troubleshooting, or solution refinement when needed. 

• Supporting the transition of prototypes into integrated pilots or scalable operational solutions. 

• Applying Responsible AI, security, data privacy, access control, and governance considerations throughout delivery. 

Factory Leadership and Operations

• Maintaining visibility into the Factory opportunity pipeline, active engagements, upcoming demand, and team capacity. 

• Coordinating staffing and project assignments with Factory leadership and technical leads. 

• Helping prioritize engagements based on clientneed, strategic value, readiness, and available resources. 

• Establishingconsistent delivery practices, templates, quality standards, and project checkpoints. 

• Coaching engineers and other team members on client communication, delivery expectations, and consulting practices. 

• Capturing reusable assets, delivery patterns, lessons learned, and estimates that improve future engagements. 

• Monitoring client satisfaction, delivery performance, and the progression of Factory work into follow-on opportunities. 

Your Educational and Professional Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related discipline; equivalent professional experience will also be considered. 

• 9+ years of experience designing, delivering, or managing technology, data, automation, software, or AI solutions. 

• Demonstrated experience managing client engagements and multidisciplinary delivery teams. 

• Experience supporting sales pursuits and developing proposals, estimates, and statements of work. 

• Experience managing project scope, schedules, budgets, resources, risks, andengagementfinancials. 

• Hands-on experience with generative AI experimentation, prototyping, or AI-enabled application development. 

• Track recordof owning client relationships and managing multi-workstream engagements from kickoff through delivery.

• Workingproficiencyin Python and/or JavaScript or TypeScript, with the ability to understand, review, and contribute to application code. 

• Experience with at least one major cloud platform, such as Microsoft Azure, AWS, or Google Cloud. 

• Strong executive communication, facilitation, presentation, and stakeholder management skills. 

• Experience in consultingoranother client-service environment is strongly preferred. 

• Experience managing rapid prototypes, proofs of concept, pilots, or agile software delivery is preferred. 

• Relevant cloud, AI, agile, or project management certifications are preferred. 

Our Hybrid Workplace

Protiviti practices a hybrid model, which is a combination of working in person with a purpose and working remotely. This model creates meaningful experiences for our people and our clients while offering a flexible environment. The ratio of remote to in-person requirements vary by client, project, team, and other business factors. Our people work bothin-personin local Protiviti offices and on client sites, which can include local or out-of-state travel based on our projects and client requests and commitments.