AI Technical Delivery Manager

CNX•Bellevue, WA

2d•$92,250 - $140,000•Hybrid

About The Position

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Requirements

8+ years of enterprise technology delivery experience.
8+ years of experience leading complex transformational technology programs.
5+ years of experience leading initiatives in AI, cybersecurity, data governance, or cloud transformation.
Demonstrated track record of rapidly moving initiatives from concept to production.
Strong technical understanding of AI architecture, security controls, cloud platforms, enterprise integrations, and scalable solution design.
Deep knowledge of Generative AI, Large Language Models, Agentic AI frameworks, multi-agent architectures, Retrieval-Augmented Generation, fine-tuning strategies, prompt engineering, AI evaluation, AI observability, AI safety, Human-in-the-Loop systems, and autonomous workflow design.
Experience defining or operationalizing AI Governance, Responsible AI, Model Governance, AI Risk Management, AI Ethics, explainability, transparency, auditability, and governance controls.
Ability to challenge architects and engineers while remaining collaborative, pragmatic, and outcome-focused.
Strong executive presence with the ability to lead client workshops, stakeholder reviews, and board-level briefings.
Proven ability to operate with urgency, ownership, sound judgment, and accountability in fast-moving, ambiguous environments.
Experience managing risks, dependencies, budgets, resources, timelines, and cross-functional delivery teams.
Ability to communicate complex technical concepts clearly to business, technical, and executive audiences.

Nice To Haves

Experience in Telecom.
Experience with Forward Deployed Engineering or SF Agentforce.

Responsibilities

Serve as the primary technical delivery lead for strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
Embed with customer teams to assess business processes, operating models, architecture, security posture, and AI readiness.
Translate complex business problems into scalable engineering solutions, roadmaps, and implementation plans.
Own delivery from strategy and architecture through engineering, deployment, adoption, and value realization.
Accelerate client outcomes by driving production-ready MVPs and scalable enterprise solutions.
Establish measurable ROI frameworks, delivery KPIs, operational scorecards, and value realization mechanisms.
Lead complex technical workstreams with aggressive timelines while maintaining quality, security, and governance standards.
Operate effectively in ambiguous environments, making informed decisions with incomplete information and driving progress without constant oversight.
Define and operationalize enterprise AI Governance programs, including operating models, governance boards, decision frameworks, and risk controls.
Develop and guide policies and practices related to Responsible AI, Model Governance, AI Risk Management, AI Ethics, Explainability, Transparency, Human-in-the-Loop Controls, and AI Auditability.
Lead the development and deployment of agentic AI solutions, autonomous workflows, and AI-enabled operating models.
Ensure guardrails, governance frameworks, security controls, and responsible AI practices are embedded into solution design and delivery.
Build and own integrated delivery plans across multiple technical workstreams, dependencies, resources, risks, issues, and budgets.
Drive executive reporting, stakeholder communications, workshops, and leadership briefings.
Remove blockers with urgency and hold teams accountable to commitments, quality standards, and measurable outcomes.
Ensure successful deployment, operational readiness, adoption, and ongoing performance of delivered solutions.
Partner with architects and engineering teams to review architecture diagrams, API specifications, security assessments, and solution designs.
Connect technical decisions to client business outcomes, risk mitigation, transformation objectives, and enterprise value.