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BENCH+ PROFILE

Maxim

AI Product / Transformation Lead
B2B agentic AI product delivery, LLM orchestration, RAG-based enterprise automation, and technical transformation for regulated or high-load digital products

Product-oriented AI and engineering leader with hands-on involvement in agentic AI, LLM orchestration, RAG, enterprise modernization, architecture review, and delivery recovery across B2B automation, ERP/CRM, education, logistics, healthcare technology, automotive software, and fintech contexts.

BEST-FIT USE CASE

Best suited for leading discovery-to-delivery of B2B AI transformation initiatives where LLM workflows, RAG, compliance-aware architecture, stakeholder alignment, unit economics, and production readiness must be coordinated across product and engineering teams.

Not the primary fit: Less aligned with roles focused primarily on individual contributor frontend implementation, pure QA execution, or narrow model research without product ownership and delivery leadership.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Led end-to-end discovery, architecture, and delivery of agentic AI products for B2B automation, ERP, CRM, education, R&D, and linguistic-service scenarios.

02

Designed and developed agentic systems and LLM-orchestration workflows for external customers, with controls such as prompt versioning, deterministic validators, logging, tracing, audit, unit tests, and static analysis.

03

Delivered AI-enabled systems including an agentic CRM, a RAG semantic-search system, recommendation systems, and education and R&D solutions.

04

Prepared infrastructure for production releases using payment integrations, security and load analysis, architecture validation, containerization, and load testing.

05

Led a software portfolio for automotive digital products, including design-system adoption, frontend and backend integrations, platform modernization, regulatory readiness support, and technology-stack standardization.

06

Led working groups in healthcare technology covering high-load backend architecture, no-code product development, localization, technical debt, continuous integration, and engineering standards.

07

Led development of brokerage portal, real-time trading workflows, and portfolio functionality in a fintech setting.

08

Earlier quality leadership covered release, incident-management, recovery, continuity, internal teams, and outsourced delivery models.

WORKING STYLE

How they show up

  • Uses structured discovery and requirements translation to connect business needs with technical delivery decisions.
  • Applies technical audits, architecture review, quality controls, and delivery process changes to stabilize or improve product execution.
  • Works directly with B2B stakeholders and cross-functional teams across product, architecture, engineering, infrastructure, and compliance topics.
  • Evaluates LLM implementation choices through cost, reliability, observability, and production-readiness considerations.