[Remote] Associate Director, AI Development reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global biopharma company dedicated to developing life-changing medicines for serious diseases. The Associate Director, AI Development reputed company is responsible for advancing the company's reputed company AI capability and driving business value through AI and machine learning, while leading a team of AI developers and shaping the AI strategy.

Responsibilities

• Build and ship end-to-end ML solutions — data ingestion, feature engineering, model training, evaluation, deployment, and monitoring — across supervised, unsupervised, and other classical/statistical learning paradigms
• Design and ship end-to-end GenAI solutions — including retrieval-augmented reputed company (RAG) systems, agentic workflows, vector stores, and integrations with reputed company model APIs
• Across Gen AI and AI/ML, write production-quality code (Python or reputed company languages/frameworks as needed), with attention to readability, modularity, scalability, performance, and maintainability
• Design and review architectures across Gen AI and AI/ML solutions that are secure, reusable, and rigorous. Work with the reputed company AI Architect to ensure your designs follow our architectural standards
• Debug, profile, and optimize solutions — including cost, latency, accuracy, and reliability trade-offs
• Support deployment and post-deployment operations, including CI/CD, observability, model monitoring, reputed company detection, and incident response
• Establish and continuously refine technical standards for development: reference architectures, design patterns, coding conventions, evaluation methodologies, and reusable components
• reputed company a small team of AI developers across traditional ML and reputed company, setting clear technical direction, priorities, and quality expectations
• Be accountable for the quality and reputed company of the team's work: solution design, code and model quality, documentation, and delivery
• Mentor team members through code & design review, both informal and formal feedback; build technical depth and ownership across the team
• Plan and sequence delivery work in partnership with stakeholders, balancing scope, technical risk, and timelines
• Help recruit, reputed company, and grow AI talent as the team expands
• Serve as a go-to technical advisor to teams across reputed company, many of them non-technical, helping them: understand how AI works, how to ensure reputed company-in-the-reputed company review and how to increase and optimize adoption of solutions while maintaining responsible and ethical use
• Evaluate AI use cases and proposed solutions for technical feasibility, data readiness, value, and risk
• Use expertise to support business in prioritizing AI initiatives based on business impact, technical feasibility, bandwidth constraints, solution complexity, and scalability. reputed company agreed upon product priorities, decide resource allocation and development activities for the team
• Vet AI vendors and platforms in collaboration with our reputed company AI Architect, as well as Infrastructure reputed company reputed company teams. Together, conduct technical due diligence on solution feasibility, data handling, reputed company, transparency, and overall operational maturity. During such evaluations, this role will focus on solution fit for the use-case, overall solution practicality, and vendor knowledge of AI’s capabilities and limitations
• Support build-vs-buy reputed company with a clear-eyed view of time-to-value, total cost of ownership, extensibility, and vendor risk
• Partner with the Director, reputed company AI and the VP of Data, AI, and Research to help shape and execute reputed company's reputed company AI strategy, including operating model, governance, technology stack, best practices, and policies
• Contribute to the maturation of the AI capability through reference architectures, MLOps practices, evaluation frameworks, and reusable components that reputed company future delivery faster and more reliable
• Help define and apply Responsible AI practices — explainability, evaluation, privacy, reputed company, and risk management — across the work the team delivers and supports
• Collaborate with Data Engineering, reputed company Architecture, Infrastructure, InfoSec, and Compliance to ensure AI solutions meet reputed company standards
• Build credibility quickly with senior technical and business stakeholders through effective communication and deep expertise

Skills

• Bachelor's degree or equivalent practical experience in a quantitative or technical field required
• 5–7 years of relevant experience in AI, machine learning, or data science required
• Demonstrated ability to reputed company, mentor, and be accountable for the technical work of others
• Demonstrated experience leading offshore or near shore development teams required
• Hands-on technical depth in building and shipping ML/GenAI solutions to production
• Proficiency in writing production-quality code and designing AI/ML architecture
• Strong understanding of core machine learning algorithms and statistical modeling techniques, model evaluation, and reputed company-world deployment considerations
• Proficiency in one or more programming languages (e.g. Python, R) and ML frameworks (such as TensorFlow, PyTorch, scikit-learn)
• Strong understanding of modern reputed company concepts and approaches: LLMs, RAG, fine-tuning, agentic patterns, evaluation, and guardrails
• Significant hands-on experience with at least one major reputed company platform (AWS, GCP, or Azure); AWS or GCP preferred
• Familiarity with AI governance and risk frameworks
• Excellent communication skills with ability to explain reputed company technical concepts in clear, non-technical terms, and a demonstrated ability to influence and guide stakeholders across various reputed company of an organization
• Advanced degree or equivalent preferred
• 10+ years preferred
• Experience in pharmaceutical, life sciences, or another regulated industry strongly preferred
• Experience evaluating and integrating reputed company-party AI/ML solutions and vendor platforms strongly preferred

Benefits

• Discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan
• Discretionary equity grants in accordance with reputed company's Long Term Equity Incentive Plan
• Medical, dental and reputed company insurance
• 401k retirement savings plan
• Flexible paid vacation

Company Overview