Technical Product - Associate Architect

Mandatory Skills: Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, AI Search Index, LangChain

Key Responsibilities
Product Strategy & Ownership
• Lead the full product lifecycle for your product — discovery, definition, launch, and iteration.
• Own the roadmap across its components and features, and connect it to the platform's broader goals
• Conduct user and stakeholder research to surface the highest-value problems, and prioritize the features that solve them.
• Translate ambiguous needs into clear requirements and a defensible delivery plan.
• Turn repeatable patterns from real delivery into reusable, scalable product capabilities.
Design & Architecture (Within the Platform)
• Partner with Engineering and Design to shape your product's design within the platform's existing architecture, including:
o How your product fits the multi-agent orchestration model
o Use of shared retrieval (RAG) and knowledge serviceso Reuse of platform skills, tools, and components
o Model selection within the platform's model orchestration layer
o Conversational and generative UI surfaces

• Apply and help refine shared platform standards for:
o Prompt and agent design patterns
o Evaluation, quality, and reliability
o Responsible AI, safety, and governance
o Human-in-the-loop and escalation patterns
• Make product-level decisions on feature flags, progressive rollout, and how your product respects the tenant isolation, data boundaries, and security patterns set by the platform.
Delivery Enablement
• Work closely with delivery teams to:
o Understand real-world use cases and jobs to be done
o Uncover friction in how people currently get work done
o Define how your product slots into existing workflows

• Shape how users interact with your product — its assistants, reusable skills and workflows, shared knowledge, and configurable patterns they can tailor to their context.

Execution & Delivery

• Collaborate with Engineering to:
o Prioritize the backlog and sequence investments
o Drive latency, quality, and cost improvements for your product
o Improve scalability, reliability, and observability
• Define success metrics and contribute to evaluation and monitoring, both offline and online, including usage and cost models for your product's AI workloads.
• Own documentation and standards for your product, aligned to platform conventions.
Stakeholder Management
• Partner across Engineering, Design, Security & Compliance, fellow product managers, and the practitioner community.
• Communicate trade-offs and translate fluently between technical teams and business stakeholders.
• Present your product's roadmap, progress, and impact to platform leadership.
What You'll Bring
• Proven PM experience shipping technical or platform products; experience with AI/ML or data-intensive products strongly preferred.
• Working fluency in modern AI (LLMs, agents, RAG, evaluation) and the trade-offs between them. A track record of translating ambiguous problems into clear roadmaps and shipped outcomes.
• Strong collaboration across engineering and design, and the ability to influence without authority.
• Comfort operating within enterprise responsible-AI, security, and governance constraints.
Nice to Have
• Experience with professional services / consulting delivery models.
• Hands-on familiarity with AI tooling and agent frameworks.
• Background designing for both practitioner and leadership audiences.