Lead Agentic Deployment Architect

## Key Responsibilities

- Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle Identify Commit Deploy Consume — owning outcomes at every stage, not just discovery or deal closure

- AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.

- Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.

- Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization

- Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.

- AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including

- Cursor, Claude Code, Codex, Windsurf, Antigravity to accelerate development.

- Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.

- AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents

## Required Qualifications

- 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology

- You have a degree in Computer Science or a related field

- Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have

- Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex

- Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes

- Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices

- Strong project and program management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments

- Ability to travel to customer site

## Preferred Experience

- Experience designing and deploying AI solutions in regulated industries (e.g., supply chain )

- Platform certifications from Microsoft, Anthropic, Google, Azure.

- Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks

- A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments