Associate Director, AI Engineer - Remote

Novartis AG

Job Overview

Location

Remote Position (USA)

Job Type

Full-time

Full Job Description

📋 Description

• Lead the architecture, design, and engineering delivery of Novartis’s agentic AI platform and related solutions to transform products, processes, and workflows into intelligent, agentic AI experiences.
• Drive the end-to-end AI engineering operations including development, deployment, monitoring, reliability, and continuous improvement of AI-driven systems.
• Partner with cross-functional teams including Product, Data Science, Architecture, Security, and Business units to define technical roadmaps, platform standards, and solution priorities aligned with business goals.
• Establish and enforce engineering best practices for AI system performance, scalability, security, governance, and maintainability across the AI lifecycle.
• Guide the evaluation, integration, and optimization of AI models, orchestration frameworks, and supporting platform components to ensure technical excellence and operational efficiency.
• Build, mentor, and lead high-performing engineering teams while fostering innovation, accountability, and a culture of technical excellence.
• Identify opportunities to accelerate value delivery through reusable AI services, automation, and operational efficiencies in AI-enabled workflows.
• Translate early-stage AI concepts into functional prototypes or proofs of concept, evaluating technical feasibility and navigating ambiguity to validate ideas quickly and effectively.
• Apply strong technical knowledge across modern application development, cloud platforms, data technologies, and AI frameworks to bring innovative concepts to life in production environments.
• Ensure all AI engineering initiatives align with business objectives, user needs, and long-term technical direction while managing multiple priorities in a fast-paced innovation environment.
• Communicate technical tradeoffs clearly to non-technical stakeholders and drive execution with strong problem-solving and execution skills.

🎯 Requirements

• Bachelor’s degree required; advanced degree preferred in computer science, engineering, information systems, or a related technical field.
• Six plus years of experience in technology leadership, solution architecture, software engineering, or prototype development with a track record of building and advancing AI-enabled digital solutions.
• Demonstrated experience translating early-stage AI concepts into functional prototypes or proofs of concept, including evaluating technical feasibility and working through ambiguity.
• Strong technical knowledge across modern application development, cloud platforms, data technologies, and AI technologies, with proven ability to collaborate with Product, Innovation, Engineering, and Data Science teams.
• Experience leading cross-functional technical efforts, including guiding developers, coordinating stakeholders, and aligning PoC work with business goals and technical direction.
• Strong problem-solving, communication, and execution skills with the ability to operate effectively in fast-paced innovation environments.

🏖️ Benefits

• Annual salary range of $176,400.00 to $327,600.00.
• Performance-based cash incentive.
• Eligibility for annual equity awards based on role level.
• Comprehensive benefits package including health, life, and disability insurance.
• 401(k) with company contribution and match.
• Generous time off package including vacation, personal days, holidays, and other leaves.

Skills & Technologies

Python

Pandas

Data Science

Junior

Remote

Degree Required

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Novartis AG

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About Novartis AG

Novartis AG is a Swiss multinational pharmaceutical corporation headquartered in Basel, Switzerland. It researches, develops, manufactures, and markets prescription medicines, generics, biosimilars, and eye-care products. Core therapeutic areas include oncology, neuroscience, immunology, dermatology, and cardiovascular-metabolic diseases. The company operates through Innovative Medicines and Sandoz divisions, with a global network of R&D centers and manufacturing sites.

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