Senior Agentic​/Gen AI Expert; Engagement Manager

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Senior Agentic/Gen AI Expert

Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale.

Fractal’s Healthcare & Life Sciences (Pharma) practice is purpose‑built to support global pharmaceutical organizations across commercial, R&D, supply chain, and enterprise functions. We work with many of the world’s largest pharma companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact.

Join our team and shape the future of Pharma & Life Sciences through groundbreaking technology solutions! Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Locations: New York, NY.

Note:
This position is not eligible for Immigration Sponsorship at this time.

Role Overview

We are seeking a Senior Agentic/Gen AI Expert to serve as the technical authority for a high‑impact AI discovery engagement with a major pharmaceutical client. The role is not focused on model implementation as it sits at the intersection of deep AI expertise, enterprise architecture judgment, and strategic business framing.

As part of a small team, you will work directly with senior client architects, data science leaders, and IT teams during structured discovery workshops to evaluate where agentic and generative AI can meaningfully transform the enterprise. You will act as the primary technical voice on agentic AI systems, ensuring that ideas surfaced are technically sound, scalable, and grounded in real‑world enterprise constraints, helping shape how a Fortune 500 pharmaceutical company invests in AI over the next 2–3 years

Key Responsibilities

Technical Authority for Agentic AI

• Serve as the lead technical expert on agentic AI and GenAI across the engagement, with demonstrated depth in multi‑agent system design, orchestration patterns, and LLM‑based architectures.

• Evaluate, critique, and stress‑test proposed AI concepts and architectures in real time with the client’s enterprise architecture, data, and platform teams.

• Distinguish viable, production‑ready agentic patterns from theoretical or immature approaches, providing clear guidance on feasibility, risks, and tradeoffs.

Discovery Workshop Participation

• Actively participate in discovery workshops involving cross‑functional stakeholders spanning business, IT, analytics, and commercial operations.

• Translate business problems surfaced in workshops into AI‑solvable framings, identifying where agentic AI, automation, and generative models can drive step‑change improvements.

• Provide authoritative technical input during live discussions, helping steer conversations toward realistic and high‑value AI opportunities.

Enterprise Architecture & Process Redesign

• Collaborate with design and research specialists to map current‑state enterprise workflows

• Help redesign future‑state workflows using the engagement’s north‑star framing: “25 steps → 5 steps + 5 AI agents.”

• Ensure proposed AI‑augmented processes align with enterprise constraints including data availability, security, compliance, scalability, and operating models common in regulated pharma environments.

Executive & Non‑Technical Communication

• Translate complex AI and LLM concepts into clear, business‑relevant language for senior non‑technical stakeholders.

• Support synthesis of findings into an executive‑ready AI roadmap, prioritizing opportunities by impact, feasibility, and organizational readiness.

• Help ensure final recommendations are defensible, pragmatic, and grounded in technical reality, not hype.

Qualifications & Experience

• 10+ years of hands‑on experience in AI, machine learning, or advanced analytics, with clear progression into senior technical or architectural leadership roles.

• Demonstrated deep expertise in agentic AI and multi‑agent systems, including…