Design and implement enterprise-grade AI solutions, focusing on agentic workflows, RAG (Retrieval-Augmented Generation), and integrated LLM applications.
undefined
Lead the technical execution of AI projects, managing resources and timelines while maintaining a high bar for code quality and architectural integrity.
undefined
Collaborate with IT and Security teams to ensure AI deployments comply with enterprise data governance and infrastructure standards.
undefined
Mentor future technical team members and establish best practices for AI development, testing, and monitoring.
undefined
Provide "boots on the ground" technical leadership during the initial build phase, transitioning to a more strategic architectural role as the COE scales.
undefined
Stay at the forefront of AI research and toolsets, evaluating new technologies for their potential to benefit Marmon's businesses.
Required Qualifications
Bachelor's or Master's degree in Computer Science Engineering, or a related technical field.
15+ years of experience in software engineering and architecture, with at least 2-3 years focused on AI/ML delivery.
Experience implementing information lifecycle management and levering AI for solving use cases focused in enterprise unstructured content.
Experience in a consulting or multi-business environment is highly preferred, as you will be supporting a wide range of autonomous industries.
Proven experience leading technical teams and owning the delivery of high-visibility enterprise initiatives.
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law .
Additional Information
Marmon Technologies India Private Limited
As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway- you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon's diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
Position Overview
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon's diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
Mandatory Skills
Demonstrated expertise in large language models (LLMs), prompt engineering, and agentic frameworks such as LangChain, Semantic Kernel, and Copilot Studio
Proven experience designing and delivering enterprise-grade AI solutions, including retrieval-augmented generation (RAG) and agentic workflows
Strong expertise in cloud-native architecture and deployment across Azure, AWS, or GCP
Extensive system design and architecture experience for complex, integrated enterprise platforms
Ability to translate business requirements into scalable, practical AI solutions
Hands-on experience building and scaling multi-agent systems and agentic workflows
Ability to define data strategies across structured, unstructured, and vector-based data to improve AI performance and RAG accuracy
Strong stakeholder engagement skills, with experience leading technical discovery sessions and translating business challenges into AI-enabled solutions
Good understanding of multimodal AI models, including embedding and retrieval services for diverse content types such as video, CAD drawings, and other complex file formats