AI Architect
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Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Software the fuel for mobility
We bring bold digital visions to life. So were on the lookout for more curious and creative engineers who want to create change one line of high-quality code at a time. Our transformation isnt for everyone but if youre excited about solving the leading-edge technological challenges facing the auto industry then lets talk about your next move.
Lets introduce ourselves
At Volvo Cars we are making bold digital visions come true. We aim to be the leader in the automotive world by creating a digital ecosystem built around making our customers lives less complicated. What we all have in common at Volvo Cars is our passion for protecting lives our endless curiosity and our dedication to create a new future for the automotive industry. Our human centric focus is what separates us from all other car companies.
India Digital Tech Hub Bangalore
The Digital Tech Hub is an integral part of the digital transformation journey for Volvo Cars. The Tech Hub is a strategic player providing skills and competencies in areas such as cloud solutions data science and analytics SAP UX/UI and we are part of managing key technology platforms within various domains such as R&D manufacturing & logistics and the commercial area.
What youll do
The AI Architect defines and governs the semantic and conceptual foundations that make AI systems coherent interoperable and reusable across the organization. The role is accountable for how meaning is represented to ensure that agents models and retrieval systems operate on shared concepts rather than isolated data sets.
The role connects business intent and technical execution and thus translates domain concepts into semantic models knowledge structures and architectural patterns that AI systems can reliably reason over cross the organization.
The AI Architect defines and governs the semantic and conceptual foundations that make AI systems coherent interoperable and reusable across the organization. The role is accountable for how meaning is represented to ensure that agents models and retrieval systems operate on shared concepts rather than isolated data sets.
The role connects business intent and technical execution and thus translates domain concepts into semantic models knowledge structures and architectural patterns that AI systems can reliably reason over cross the organization.
Key responsibilities
Semantic & AI Architecture
- Define enterprise-wide semantic architecture for AI including ontologies conceptual models vocabularies and knowledge abstraction in collaboration with information architecture team to underpin AI and GenAI solutions.
- Create and refine reference architecture and design patterns for semantic layers knowledge graphs and embedding strategies.
- Architect end-to-end AI solutions with separation of concerns between data semantics modes and orchestration.
- Ensure consistent representation of entities relationships and business concepts across embeddings vector stores LLM prompts and agent memory.
Knowledge retrieval & reasoning layers
- Design and govern knowledge layers that combine structure data unstructured data and domain semantics.
- Define standards for semantic search and context assembly.
- Ensure semantic models remain evolvable versioned and decoupled from specific LLM vendors or tools.
Collaboration and use-case realisation
- Work with business stakeholders to formalise use cases as semantic problems (concepts decisions relationships) not just applications or features.
- Collaborate with data scientists and engineers to ensure AI solutions are grounded in shared semantic models.
- Ensure solutions align with policies security auditability and regulations.
- Challenge use cases that bypass semantic modelling in favour of prompt-based or point-solution design.
- Evaluate and introduce AI knowledge and semantic technologies that strengthen long-term interoperability and reuse across the organization.
What youll bring
- 7 years designing and delivering production AI systems with a strong foundation in software data or cloud architecture.
- Hands-on experience with LLMs semantics search vector databases and RAG architectures.
- Proven experience designing semantic layers: knowledge graphs ontologies metadata models and embeddings.
- Experience operating AI systems at scale in enterprise or regulated environments using platforms such as Microsoft AI Foundry Amazon Bedrock Snowflake Cortex or Databricks AI.
- Strong MLOps and platform engineering experience (e.g. Azure ML SageMaker MLflow Kubeflow and containerized environments (e.g. Docker Kubernetes).
- Familiarity with AI ethics bias transparency data privacy and regulatory requirements.
Volvo Cars. For Life.
For nearly a century Volvo Cars has empowered people to move freely in a personal sustainable and safe way. Today we are driving bold advancements in electrification sustainability and automotive safety. To realise our ambitious vision we are seeking innovative minds who are ready to tackle the challenges of tomorrow today.
In our company we believe extraordinary things are achieved by ordinary people with the drive to make a difference.
Required Experience:
Staff IC
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
About Company
Volvo Car USA is a subsidiary of Volvo Car Group of Gothenburg, Sweden and is headquartered in Rockleigh, NJ, with regional sales offices located in Rockleigh, Summerville, SC, and Irvine, CA. In addition, Volvo Car US Operations, the home of our new US factory, is located in South Ca ... View more
