Senior AI/ML Engineer
8-15 Years Experience
JOB SUMMARY
We are seeking a Senior AI/ML Engineer to provide technical leadership within our Artificial Intelligence and Automation team. The ideal candidate combines deep, hands-on expertise in building and scaling Machine Learning and Generative AI systems with the ability to lead the design and delivery of major initiatives. You will drive the technical direction of significant AI programs across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps platforms, and Intelligent Automation.
As a senior technical leader, you will own the design of complex systems, raise engineering standards, mentor engineers across levels, and partner with stakeholders to align solutions with business goals.
KEY RESPONSIBILITIES
- Lead the technical design and delivery of large, complex ML and LLM systems, balancing performance, cost, reliability, and safety.
- Own the architecture of major AI features and services, making key design and technology decisions.
- Design and scale advanced RAG and knowledge systems, including hybrid retrieval, re-ranking, evaluation, and continuous improvement.
- Lead the design of sophisticated Agentic AI and multi-agent systems, including orchestration, tool use, and reliability.
- Mature the team's MLOps/LLMOps practices: CI/CD, model registries, monitoring, evaluation, drift detection, and automated retraining.
- Establish engineering standards, patterns, and reusable frameworks; drive code and architecture reviews.
- Apply and promote responsible-AI, security, guardrail, and cost-optimization practices across projects.
- Lead cross-functional delivery of complex programs, managing technical risk and dependencies.
- Mentor and coach engineers across experience levels and grow overall team capability.
- Partner with product and business leaders to shape solution direction, prioritize work, and quantify business impact.
- Evaluate and pilot emerging models, tools, and techniques, translating them into pragmatic solutions.
- Produce and review high-quality design documentation, technical specifications, and deployment artifacts.
REQUIRED QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (advanced degree preferred).
- 8-15 years of professional experience in AI, Machine Learning, or software engineering, including substantial time delivering ML/AI systems to production.
- Expert-level Python engineering skills and a strong software-architecture background.
- Proven track record designing and scaling Generative AI and LLM-based systems in production.
- Deep, hands-on experience with agentic AI frameworks and complex RAG architectures.
- Strong MLOps/LLMOps expertise: CI/CD, monitoring, evaluation, and lifecycle automation.
- Extensive experience with at least one major cloud platform (Azure, AWS, or Google Cloud) and containerized, distributed systems.
- Demonstrated technical leadership: leading designs, mentoring engineers, and setting standards.
- Solid understanding of responsible AI, security, governance, and cost optimization.
- Excellent communication skills, able to influence both engineers and senior stakeholders.
PREFERRED SKILLS
- Deep proficiency across the modern AI stack: PyTorch, TensorFlow, Hugging Face, and distributed training/inference.
- Production experience with multiple LLM providers (OpenAI, Anthropic Claude, Azure OpenAI, Gemini) and open-weight models.
- Experience with fine-tuning, LoRA/PEFT, distillation, and model optimization/serving (vLLM, TGI, Triton).
- Advanced experience with vector databases and large-scale retrieval systems.
- Expertise with orchestration and platform tooling such as Kubernetes, Airflow, and Ray.
- Experience building LLM evaluation, observability, and guardrail frameworks.
- Track record of introducing reusable platforms, frameworks, or accelerators.
- Open-source contributions, publications, patents, or conference talks in the AI community.
WHAT THIS ROLE OFFERS
- Technical leadership of high-impact, enterprise-scale AI and Automation programs.
- Deep involvement in architecting next-generation Agentic AI and LLM systems.
- Influence over engineering standards, responsible-AI practices, and team capability.
- A clear path toward Principal-level technical leadership.
- The opportunity to mentor and grow a strong AI engineering team.
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 8-15 years of professional experience in AI, machine learning, or software engineering
- Substantial experience delivering ML or AI systems to production
- Expert-level Python engineering skills
- Strong software architecture background
- Production experience designing and scaling generative AI and LLM-based systems
- Hands-on experience with agentic AI frameworks and complex RAG architectures
- Strong MLOps or LLMOps expertise, including CI/CD, monitoring, evaluation, and lifecycle automation
- Extensive experience with at least one major cloud platform: Azure, AWS, or Google Cloud
- Experience with containerized, distributed systems
- Technical leadership experience, including leading designs, mentoring engineers, and setting standards
- Understanding of responsible AI, security, governance, and cost optimization
- Excellent communication and stakeholder-influencing skills
- Deep proficiency with PyTorch, TensorFlow, Hugging Face, and distributed training or inference
- Production experience with multiple LLM providers and open-weight models
- Experience with fine-tuning, LoRA, PEFT, distillation, and model optimization or serving
- Advanced experience with vector databases and large-scale retrieval systems
- Expertise with Kubernetes, Airflow, and Ray
- Experience building LLM evaluation, observability, and guardrail frameworks
- Track record of introducing reusable platforms, frameworks, or accelerators
- Open-source contributions, publications, patents, or conference talks in AI
Fortive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortive and has not been reviewed or approved by Fortive.
-
Parental & Family Support — Parental leave is fully paid for 12 weeks for all parents, with fertility coverage via Progyny and generous adoption/surrogacy support. Backup child and adult care plus inclusive eligibility extend support across diverse family structures.
-
Healthcare Strength — Multiple PPO and HSA medical options include telemedicine and second-opinion services, alongside robust mental-health access through Spring Health with no‑cost therapy sessions. The breadth of medical and behavioral health resources is highlighted as a strength.
-
Retirement Support — The 401(k) provides a competitive employer match each pay period, with an additional company retirement contribution after one year of service. Financial wellness tools and an employee stock purchase plan further bolster long‑term savings.
Fortive Insights
What We Do
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth.
