Director AI Strategy & Delivery

advising executive stakeholders , Agentic AI , AI/ML solution architecture , AWS , Gen AI , multi-year technical strategy , predictive modeling Bay6.ai is an innovative company at the forefront of AI technology, delivering solutions that help businesses leverage the power of artificial intelligence. As Director, AI Strategy & Delivery, you will set the strategic direction of our AI practice and serve as the principal technical authority across our client portfolio. You will decide which capabilities Bay6.ai builds in-house, which we source through partners, and how our offerings evolve as the agentic tooling landscape matures, and you will then architect and help build the solutions that follow. The role suits someone who has stayed deliberately technical on the way to leadership. Job Title: Director, AI Strategy & Delivery Travel Years of Experience: 12+ years (relevant experience 8+ years) Mode of Work: Remote Compensation Plan: Base salary range: Per experience Stock Options You will own AI strategy, architecture, and delivery across concurrent engagements spanning agentic automation, conversational AI, and predictive modeling. You will advise client executives on where AI creates defensible value and where it does not, sequence their investment roadmaps, and shape solutions in presales by running technical discovery and building the prototypes that win the work. You will then carry those engagements into delivery and stay close enough to the implementation to clear blockers yourself. You will also inherit workstreams where ownership is currently implicit rather than documented, and you will have the latitude to define them. Fluency in Spanish and a willingness to travel to client sites are both essential to serving our client base. Job Responsibilities Set the strategic direction of Bay6.ai’s AI practice, including which capabilities to build in-house, which to source through partners, and how the offering portfolio evolves as the agentic tooling landscape matures. Advise client executives on AI strategy and roadmap, sequencing investments and distinguishing where AI creates defensible business value from where it does not. Work closely with Product Owners, Delivery Managers, Bay6.ai Leadership, and other Engineering Leads to unblock technical challenges by providing direction and solutions. Own technical architecture and AI solution governance across all client engagements and set the standards that make that role repeatable rather than personal. Design and oversee production agentic systems, including intake, outreach, escalation, and feedback-loop agents, with error handling and pre-deployment compliance gates. Build and unblock critical-path work personally across cloud infrastructure, CI/CD, secrets management, integrations, and model development. Lead technical presales by running discovery with prospects, gathering requirements, and building the prototypes that convert opportunities into engagements. Define and lead workstreams where ownership is currently implicit, making scope explicit before committing the business to it. Maintain portfolio discipline across concurrent engagements, closing, merging, or reprioritizing stale work rather than allowing it to accumulate, and operating from program level down to individual tickets as the work requires. Run client-facing AI governance, including participating in steering committees, AI Center of Excellence artifacts, standards and guidelines, and KPI and value frameworks, and report portfolio health and architecture risk to Bay6.ai leadership. Required Experience: Minimum 10+ years in technology delivery, including substantial time as a hands-on architect or senior engineer with significant leadership experience in Gen AI and ML technologies. A track record of setting multi-year technical strategy and defending it to executive audiences, including build-versus-buy, platform selection, and partner decisions. Ownership of AI/ML solution architecture on client-facing engagements, carried from presales through to production. Experience advising executive stakeholders on AI investment priorities and roadmap sequencing. Production experience designing multi-agent or agentic AI systems, including orchestration, escalation paths, error handling, and human-in-the-loop feedback. Current hands-on capability with cloud-native delivery: Kubernetes and Helm, containerized CI/CD, AWS, and secrets management patterns. Practical machine learning experience sufficient to review, correct, and ship model work. A track record of establishing AI governance artifacts such as standards, guidelines, ethics charters, and KPI and value frameworks for enterprise or institutional clients. Comfort operating through influence rather than formal authority, including with offshore development centers and third-party vendors. #J-18808-Ljbffr Bay6