AI Leader – Agentic Systems & Enterprise AI Enablement

About the role

The AI Leader will lead the design, development, deployment, and scaling of agentic AI systems, including MCP-based architectures, multi-agent communication models, and advanced orchestration frameworks. They will architect and implement agent-to-agent workflows that support autonomy, reasoning, decisioning, planning, and continuous learning across enterprise processes.

Responsibilities

• Lead the design, development, deployment, and scaling of agentic AI systems, including MCP-based architectures, multi-agent communication models, and advanced orchestration frameworks.
• Architect and implement agent-to-agent workflows that support autonomy, reasoning, decisioning, planning, and continuous learning across enterprise processes.
• Drive the end-to-end lifecycle of AI solutions: discovery, design, development, testing, deployment, tuning, and operational support.
• Evaluate and integrate emerging AI technologies, LLMs, vector databases, reasoning engines, observability platforms, and integration layers such as Workato, MuleSoft, or other iPaaS platforms.
• Translate complex business challenges into agent-based workflows utilizing planning, memory, tooling, and multi-agent collaboration.
• Define standards for AI safety, observability, evaluation, and continuous improvement.
• Partner with product leaders, engineers, and domain SMEs to build robust agentic capabilities that deliver measurable business outcomes.
• Represent the organization as a thought leader at events, client forums, and technical deep-dive sessions.

Requirements

• Proven hands-on experience designing, deploying, and scaling agentic AI systems, including MCP, multi-agent orchestration, and autonomous workflow design.
• Deep technical proficiency with LLMs, vector databases, embeddings, retrieval frameworks, RLHF/RLAIF concepts, tool-use frameworks, and agent reasoning models.
• Demonstrated experience enabling enterprise-grade use cases from concept through scalable production deployment.
• Exceptional communication and storytelling skills with the ability to influence C-suite leaders, functional stakeholders, and technical teams.
• Proven leadership experience as a player-coach, including mentoring and developing teams.

Preferred

• Experience with advanced OSS agentic frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) or proprietary enterprise agentic platforms.
• Familiarity with iPaaS solutions (Workato, MuleSoft, Boomi) and cross-domain workflow automation.
• Experience integrating AI into ERP, CRM, ITSM, or supply chain ecosystems (SAP, Salesforce, ServiceNow, etc.).
• Industry certifications in AI, cloud (AWS, Azure, GCP), or responsible AI frameworks.