Principal Software Architect at Trimble

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Software Development, Distributed Systems, Service-Oriented Architectures, AI/ML Infrastructure, Python, TypeScript, Infrastructure-as-Code, Cloud-Native Platforms, Security Governance, Data Architecture, Model Integration, Mentorship, Technical Strategy, Agentic AI Systems, Orchestration Frameworks

Industry

Software Development

Description

Architect Core AI Infrastructure: Lead the design of modular, extensible AI architectures that support training, inference, data pipelines, and integration with business services. Agentic AI and Workflow Design: Architect intelligent agent-based systems using frameworks like MCP, LangChain, Semantic Kernel, or custom implementations on orchestration tools like n8n. Model Integration: Define architecture for integrating LLMs, fine-tuned models, and retrieval-augmented generation (RAG) pipelines into enterprise systems. System Design Leadership: Deliver high-level architecture and detailed designs for AI solutions that integrate with distributed systems, ensuring scalability, resilience, and observability. Data-Centric Architecture: Establish robust data architectures for ML pipelines, including feature stores, semantic layers, vector databases, and lineage tracking. Security & Governance: Partner with security and compliance teams to ensure responsible AI use, model safety, auditability, and adherence to privacy and ethical guidelines. Technical Strategy: Contribute to long-term architectural vision and standards that accelerate AI adoption across the platform while minimizing duplication and technical debt. Mentorship & Influence: Serve as a technical leader and mentor for engineers working on AI-related projects, providing architectural guidance and design reviews. 12+ years in overall experience in software engineering, including significant hands-on software development experience. 10+ years of experience in software architecture and engineering, including significant hands-on development, with at least 3+ years in AI/ML systems or platforms Proven experience designing large-scale distributed systems and service-oriented architectures Hands-on experience with AI/ML infrastructure (e.g., Azure ML, Databricks, Vertex AI, SageMaker) Familiarity with LLMs, vector databases (e.g., Pinecone, Weaviate), and RAG patterns Proficient in Python and/or TypeScript, with strong design and modeling skills Experience with infrastructure-as-code and cloud-native platforms (Kubernetes, Terraform, GitHub Actions) Strong communication skills and ability to articulate architectural trade-offs Bachelor's or Master's degree in Computer Science, Engineering, or related field. Experience with agentic AI systems, orchestration frameworks like n8n, or bot platforms and frameworks Knowledge of Model Context Protocol (MCP) or similar metadata-driven AI integration models Background in security-aware architecture and AI governance frameworks Experience working in a matrixed or multi-product organization Track record of driving adoption of architectural patterns or platforms across teams

Responsibilities

Lead the design of modular AI architectures and integrate intelligent agent-based systems. Establish robust data architectures and ensure compliance with security and governance standards.