Staff Agentic Artificial Intelligence Engineer

Trimble Uk; India; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Trimble CMS in Chennai seeks a Principal AI/ML Operations Engineer to define the strategic direction of enterprise AI/ML infrastructure and scale MLOps across global units. You will architect real-time distributed inference, edge deployments, and foundation model serving from the ground up, within a premier technical leadership role.

You will collaborate with executives to shape multi-year roadmaps, mentor staff, and drive partnerships that advance autonomous MLOps, Zero Trust security, and

Qualifications

• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Engineering, or related field.
• 8+ years in MLOps, ML Engineering, or SRE with senior/principal leadership.
• Experience building large-scale ML infrastructure with high availability.
• Proficiency in multiple languages (Python, Go, Rust, Java, C++) and distributed systems.
• Experience with cloud-based transformations and multi-cloud environments.

Responsibilities

• Define multi-year roadmaps for enterprise AI/ML infrastructure.
• Architect real-time distributed inference and edge AI deployments.
• Lead foundation model serving across thousands of production models.
• Develop observability stacks with telemetry, drift detection and security.
• Establish governance and CoE for MLOps across hubs.
• Partner with C-suite to align tech investments.

Skills

MLOps

Machine Learning Engineering

Site Reliability Engineering

Distributed systems

Programming: Python/Go/Rust/Java/C++

Cloud architecture

Education

Master's or PhD in CS/ML/Engineering

Tools

TensorFlow

PyTorch

Kubernetes

Distributed computing frameworks

Job description

Architect Enterprise AI Scale as Staff AI/ML Operations Engineer.

Are you a seasoned technical authority ready to define the strategic direction of enterprise AI/ML infrastructure and shape the future of MLOps across a global technology leader? Trimble is seeking a visionary Principal AI/ML Operations Engineer (P4/P5) to join our Construction Management Solutions (CMS) team in Chennai. In this premier technical leadership role, you will set organizational vision, architect next‑generation machine learning platforms, and establish industry‑defining operational practices that scale across diverse enterprise business units.

About Us:

Dedicated to the world's tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose‑built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com

About Our Division: Construction Management Solutions (CMS)

As an industry leader in construction software and ERP platforms, Trimble CMS empowers contractors worldwide. Our solutions seamlessly connect the office, team, and field by uniting essential business functions like accounting, estimating, and project management with jobsite operations. Operating on Trimble Construction One (TC1), our cloud ecosystems leverage predictive analytics and artificial intelligence to drive unprecedented project outcomes, productivity, and profitability.

What Makes This Role Great:

Operating at the highest technical tier within Trimble CMS, you will have the mandate to drive multimillion‑$-dollar, transformational AI/ML initiatives from the ground up. You will not simply manage workflows; you will design and implement the foundation for real‑time distributed inference, edge AI deployments, and foundation model serving across thousands of production models. Working out of our Chennai engineering hub with executive sponsorship, you will represent Trimble at premier industry conferences, mentor high‑performing staff‑level engineers, establish strategic research partnerships, and lead our global transition toward autonomous MLOps and Zero Trust AI security.

Key Exciting Responsibilities

• Enterprise ML Vision & Platform Architecture: Define the multi‑year technical roadmap for enterprise AI/ML infrastructure, architecting unified platforms capable of serving thousands of models with sub‑second latency across diverse business units.
• Cutting‑Edge MLOps Deployment: Implement advanced MLOps solutions, including automated hyperparameter optimization, neural architecture search (NAS), model quantization, and distributed serving architectures supporting millions of predictions.
• Next‑Gen AI & Foundation Models: Architect scalable infrastructure for emerging generative technologies, including Large Language Models (LLMs), multi‑modal systems, prompt‑engineering pipelines, and federated learning frameworks.
• Observability, Self‑Healing & Security: Engineer comprehensive ML observability stacks featuring custom telemetry, drift detection, automated anomaly mitigation, Zero Trust architectures, and model privacy preservation.
• Strategic Governance & Centers of Excellence: Establish cross‑organizational MLOps governance, compliance standards, and A/B or multi‑armed bandit experimentation frameworks across multiple engineering hubs.
• Executive Influence & Thought Leadership: Partner directly with C‑suite leadership and product executives to align technology investments …

Essential Skills & Experience

• Education: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Engineering, or a related technical discipline (or equivalent professional experience with exceptional technical depth).
• Professional Experience: 8+ years of dedicated experience in MLOps, Machine Learning Engineering, or Site Reliability Engineering (SRE), with at least 3+ years operating in senior/principal technical leadership capacities.
• Large‑Scale Inference Systems: Proven track record architecting and maintaining large‑scale ML infrastructure serving millions of daily predictions with high availability and extreme fault tolerance.
• Polyglot & Systems Mastery: Expert programming capabilities across multiple modern languages (Python, Go, Rust, Java, or C++) paired with deep expertise in distributed computing, concurrency, and performance tuning.
• Multi‑Cloud Transformation: Extensive experience architecting cloud solutions a