Lead delivery of Applied AI projects across the SDLC: setup, requirements, design, development, testing and deployment. Facilitate executive workshops, manage client stakeholder alignment, identify and mitigate risks, drive organizational change management for adoption, mentor team members, contribute to recruitment and methodology improvements, and manage project planning, budgets, resources, and status reporting.
Who We Are
Remote & Hybrid Work Life at Qvest Equal Employment Opportunity
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
Who We’re Seeking
Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied AI, and Change Management to join our growing Applied AI practice. In this role, you will lead several technology and business consulting projects ranging from the implementation of AI solutions, to the formulation of organizational and AI process strategy, to PMO establishment. You will drive effective change management to ensure successful adoption, stakeholder alignment, and sustained value delivery. We are looking for an organized and industrious leader who will motivate teams and directly contribute to our growth.
What You'll Do
- Lead project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment.
- Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations.
- Proactively identify risks and issues, and provide mitigation strategies.
- Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.
What You'll Bring
- 5-7+ years System Implementation, SDLC, Integration, and Project Management experience
- Experience implementing AI/ML/Applied AI systems
- 3+ years in consulting / professional services, big firm experience preferred
- 2+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change
- Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions
- Experience in project planning, including building and managing to project plans, budgeting, resource allocation, and reporting status to clients and internal teams
- Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model)
- System development life cycle (SDLC) experience
- Experience with presentation and spreadsheet tools, such as PowerPoint, Visio, and Excel
- Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields
Preferred Experience
- Experience in Media & Entertainment and/or Consumer Products industries
- Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
Qvest US New York, New York, USA Office
New York, United States
Similar Jobs
Artificial Intelligence • Machine Learning • Generative AI
Lead the Applied AI Architect team and oversee customer engagements from pre-sales discovery through deployment and adoption. Develop team strategy, guide complex technical solutions, manage executive customer relationships, support generative AI and machine learning sales, and coordinate with Sales, Product, Engineering, Research, and Deployment to deliver measurable customer outcomes.
Top Skills:
Cloud ArchitectureGenerative AiMachine LearningNetwork Architecture
Artificial Intelligence • Information Technology • Software • Automation
Engineering Manager, Applied AI leads and coaches engineers while remaining hands-on on client engagements. Responsibilities include reviewing architecture, agent, prompt, and evaluation designs; resolving technical and client challenges; managing staffing and delivery; hiring and onboarding engineers; and improving engineering practices. The role requires strong software engineering experience, Python expertise, client-facing delivery experience, and familiarity with agents, evaluations, multi-agent systems, and AI coding tools.
Top Skills:
Agentic SystemsAi Coding ToolsAi Evaluation SystemsMulti-Agent SystemsPrompt DesignPython
Artificial Intelligence • Information Technology • Software • Automation
Leads and develops engineering teams while remaining hands-on with applied AI architecture, agents, prompts, evaluations, and production systems. Owns technical decisions, staffing, hiring, client engagement delivery, and converting lessons across projects into repeatable practices and platform capabilities. Requires strong software engineering depth, Python expertise, client-facing delivery experience, and familiarity with agentic and multi-agent systems.
Top Skills:
Ai AgentsArtificial IntelligenceEvaluation SystemsMulti-Agent SystemsPrompt EngineeringPython
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
