Lead System Analyst – Generative AI/Agentic AI
Listed on 2026-02-01
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IT/Tech
AI Engineer, Data Analyst
Overview
Grey matter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
We are looking for:
Lead System Analyst – Generative AI / Agentic AI
Location:
NJ
We are looking for a Lead System Analyst – Generative AI / Agentic AI to drive the analysis, design, and delivery of enterprise-grade AI solutions powered by LLMs and autonomous agents. This role provides technical and functional leadership, ensuring that GenAI and agentic systems align with business strategy, architecture standards, and responsible AI practices.
You will act as a bridge between business leadership, product teams, and AI engineering, owning end-to-end system analysis for AI initiatives while mentoring analysts and shaping AI solution standards across the organization.
Education & Experience- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field
- 8+ years of experience in System Analysis, Business Analysis, or Solution Design roles
- 3+ years of experience delivering GenAI, LLM-based, or agent-driven AI solutions
- Prior experience leading analysis or design efforts for complex, enterprise-scale systems
- Deep understanding of Generative AI, LLMs, and Agentic AI architectures
- Hands-on experience with RAG, embeddings, vector databases, and prompt strategies
- Familiarity with agent frameworks, orchestration patterns, and tool integration
- Strong understanding of APIs, microservices, cloud platforms (AWS, Azure, GCP)
- Ability to review and guide Python-based AI workflows and system designs
- Proven ability to lead cross-functional teams and mentor analysts
- Strong stakeholder management and executive communication skills
- Ability to translate complex AI concepts into actionable business insights
- Experience defining enterprise AI standards, governance models, or Centers of Excellence
- Exposure to MLOps / LLMOps and AI observability tools
- Knowledge of regulatory and compliance considerations for AI systems
- Experience with large-scale digital transformation or AI modernization programs
- GenAI and Agentic AI solutions deliver measurable business value at scale
- AI initiatives are well-governed, secure, and aligned with enterprise architecture
- Analysts and delivery teams follow consistent, high-quality AI system analysis practices
- Business leaders view AI as a trusted, strategic capability
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