Technical Delivery Manager

Title: AI Technical Delivery Manager

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.

Location: Bellevue, WA (Onsite - 4 days a week) - Hybrid

The AI Technical Delivery Manager will lead strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering. This highly technical, execution-focused leader will partner with clients, architects, AI engineers, data scientists, product teams, and business stakeholders to turn complex challenges into scalable, secure, production-ready solutions.

This role is ideal for a hands-on delivery leader who can assess client environments quickly, shape AI and cybersecurity strategies, mobilize cross-functional teams, govern risk, and drive enterprise-scale execution with urgency, precision, accountability, and measurable business impact.

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.

Qualifications

• 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.
• Preferred: Experience in Telecom. xklufbp
• Preferred: Experience with Forward Deployed Engineering or SF Agentforce.