Associate Director, AI Foundations Engineering

🔥 11 minutes ago

🇺🇸 United States – Remote

💵 $145.6k - $270.4k / year

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

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Novartis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions • Transform existing products, processes, and workflows into scalable agentic AI-enabled capabilities • Oversee end-to-end AI engineering operations, including development, deployment, monitoring, reliability, and continuous improvement • Partner with product, data, architecture, security, business, and other cross-functional stakeholders • Define technical roadmaps, platform standards, and solution priorities aligned to business goals • Establish engineering best practices for AI system performance, scalability, security, governance, and maintainability • Evaluate, integrate, and optimize AI models, orchestration frameworks, and supporting platform components • Build, mentor, and lead high-performing engineering teams • Identify opportunities to accelerate value delivery through reusable AI services, automation, and operational efficiencies

🎯 Requirements

• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience • 5+ years of professional software engineering experience • 1–2 years building applications on large language models • At least one agentic system deployed beyond a demo • Hands-on experience building AI agents on AWS, including Amazon Bedrock and Bedrock AgentCore or comparable approaches • Proficiency with at least one agent framework, such as Strands Agents, LangGraph, LlamaIndex, CrewAI, or a custom orchestration layer • Strong Python skills • Experience with AWS Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, S3, and IAM • Experience with retrieval-augmented generation, chunking strategies, embeddings, and vector stores such as OpenSearch or pgvector • Experience designing tool use and function calling for APIs, databases, and enterprise systems • Familiarity with Model Context Protocol (MCP) preferred • Experience with agent evaluation, observability, tracing, and monitoring cost and latency • Ability to prototype ambiguous business problems and harden solutions with security, guardrails, error handling, and CI/CD using CDK or Terraform • Clear communication of technical tradeoffs to product and business partners • Comfort working in a small, fast-moving team

🏖️ Benefits

• Performance-based cash incentive • Potential eligibility for annual equity awards, depending on role level • Health benefits • Life benefits • Disability benefits • 401(k) with company contribution and match • Vacation • Personal days • Holidays • Other leaves • Reasonable accommodations for disabilities