Agentic AI Core Product Lead | 8-12 YOE | Immediate | REMOTE
We are Hiring!
Job Description: Agentic AI Core Product Lead
Role: Agentic AI Core Product Lead
Experience: 8–12+ years in product management and technology, with experience in AI/ML or Generative AI preferred.
Role Overview
We are seeking an experienced Agentic AI Core Product Lead to define product strategy, lead core AI platform development, and drive end-to-end product delivery. The role requires strong product leadership, technical understanding of Agentic AI architectures, and the ability to translate business needs into scalable, intelligent AI products.
Key Responsibilities
- Define product vision, strategy, roadmap, and architecture priorities for the Agentic AI core platform.
- Own the complete product lifecycle from ideation and discovery to development, launch, adoption, and continuous improvement.
- Drive the development of AI agent capabilities, including planning, reasoning, memory, tool calling, orchestration, and multi-agent collaboration.
- Translate business requirements into product specifications, epics, user stories, and prioritized backlogs.
- Lead cross-functional teams comprising AI/ML engineers, software developers, architects, UX designers, QA, and DevOps.
- Collaborate with engineering teams on LLM integration, RAG, APIs, enterprise connectors, and workflow automation.
- Define AI evaluation frameworks, quality metrics, guardrails, security requirements, and human-in-the-loop controls.
- Manage MVPs, proof of concepts, pilot programs, releases, UAT, and production deployments.
- Engage customers and senior stakeholders to identify use cases and ensure alignment with business objectives.
- Track product KPIs, adoption, reliability, scalability, cost efficiency, and business value.
- Mentor team members and establish product governance and delivery best practices.
Required Skills
- End-to-end product management and product roadmap ownership.
- Strong understanding of Agentic AI, Generative AI, LLMs, RAG, and AI agent frameworks.
- Knowledge of LangGraph, LangChain, CrewAI, Microsoft Semantic Kernel, or equivalent technologies.
- Understanding of APIs, microservices, vector databases, cloud platforms, and enterprise integrations.
- Experience with Agile/Scrum, Jira, backlog management, and release planning.
- Strong leadership, strategic thinking, stakeholder management, and communication skills.
- Ability to bridge business strategy and technical execution.
Preferred Qualifications
- Experience building or managing AI platforms, reusable AI components, or enterprise AI products.
- Exposure to Azure AI, AWS Bedrock, or Google Cloud AI.
- Understanding of AI governance, observability, model evaluation, security, and responsible AI practices.
- Experience taking AI products from concept to production and scaling them for enterprise adoption.
Success Metrics
- Delivery against product roadmap and release commitments.
- AI product adoption and customer satisfaction.
- Reliability and quality of agent workflows.
- Reduction in manual effort and measurable business value.
- Platform scalability, cost efficiency, and time-to-market.
Interested? kindly apply here or Send your resume to hr@aavilabs.com
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