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Tier-1 brand and Bangalore metro raise competition, but niche forward-deployed AI role limits broad applicant pool.
Role demands domain AI commerce and consulting experience, limiting cross-industry transferability.
Requires business consulting experience, engineering management, and AI product exposure, making filtering relatively strict.
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Lead the engineering team within AI Labs to build and deploy autonomous AI agent solutions for commerce at scale, focusing on customer deployments and rapid iteration.
Directly engage with Fortune 100 enterprise customers to customize and implement AI-driven workflows across content, media, and sales domains, ensuring measurable business impact.
Translate customer needs into scalable product features by bridging feedback with engineering and product teams, influencing CommerceIQ’s transition to AI-native workflows.
Experience in customer-facing engineering, solutions engineering, consulting roles, or technology/business consulting (Business Consulting experience is a must have).
Proven leadership experience managing engineers or small teams, capable of driving high-velocity execution in dynamic environments.
Familiarity with AI product deployment including LLM-powered features, AI copilots/assistants, and workflow automation in production.
Work Experience Required: Not explicitly mentioned in the JD.
Engineer-leader with a strong blend of technical expertise and strategic business/product thinking, especially in deploying AI systems in real-world enterprise settings.
Comfortable operating in ambiguous, high-impact environments with direct customer engagement and cross-functional leadership.
Experienced in shaping product direction from frontline customer insights and balancing hands-on development with leadership responsibilities.