Director, Agentic Lab
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About this opportunity
#LI - RemoteReporting to the Executive Director, Agentic Architecture & Lab, the Director, Agentic Lab leads the design, prototyping, and validation of next-generation AI agents and autonomous workflows. The role evaluates emerging AI technologies, develops reusable reference implementations, and partners with engineering teams to transition successful innovations into enterprise-scale capabilities. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.
Major Accountabilities Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows. Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling. Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory. Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes. Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability. Contribute to enterprise standards, documentation, and reusable engineering patterns for AI agents. Mentor AI engineers and cultivate a culture of experimentation, innovation, and continuous learning. Essential Requirements: Education: Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline. 7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience. Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development. Strong software engineering background with experience building production-grade AI applications. Excellent communication and collaboration skills with the ability to work across research, engineering, and business teams. Desirable Requirements: Experience in pharmaceutical, healthcare, or other regulated industries. Experience building enterprise agentic AI platforms and developer ecosystems. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 47 comparable Director Data & Digital roles across 14 biopharma companies.
Salary context
20 of 47 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 47 comparable roles
Seniority mix
47 of 47 peers have a known seniority level
Therapeutic area mix
1 of 47 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.