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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 real‑world experience designing, evaluating, or governing such systems in enterprise contexts.
Strong foundation in GenAI / LLM architectures, including orchestration, retrieval‑augmented generation, tool‑using agents, and system‑level design considerations.
Prior experience engaging directly with enterprise technical teams (architecture, data platforms, security) and navigating complex organizational environments.
Exceptional ability to communicate technical concepts to non‑technical audiences, particularly senior business and executive stakeholders.
Comfort operating in fast‑paced, ambiguous discovery settings where ideas must be evaluated and refined live.
Consulting, advisory, or pre‑sales experience strongly preferred; pharma or life sciences experience is helpful but not required.
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base range up to $185,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
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