▷ Apply in 3 Minutes: Software Expert – Ai/ml Architecture

Company Description Bosch Global Software Technologies Private Limited is a 100 owned subsidiary of Robert Bosch GmbH one of the world s leading global supplier of technology and services offering end-to-end Engineering IT and Business Solutions With over 28 200 associates it s the largest software development center of Bosch outside Germany indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US Europe and the Asia Pacific region Job Summary - Bosch Research is seeking a highly accomplished and technically authoritative Software Expert in AI ML Architecture to define evolve and lead the technical foundations of enterprise-grade AI-driven systems This is a technical leadership role without people management responsibilities intended for professionals with deep expertise in software architecture AI ML systems and large-scale engineering applications and their end-to-end deliveries You will own the architecture and technical delivery of complex software solutions ensuring they are robust scalable and capable of serving diverse business domains and datasets The ideal candidate demonstrates mastery in cloud-native engineering MLOps Azure ML and the integration of AI Algorithms Computer Vision Text Timeseries ML etc LLMs Agentic AI and other advanced AI capabilities into secure and high-performing software environments Roles Responsibilities Technical Architecture and Solution Ownership Define evolve and drive software architecture for AI-centric platforms across industrial and enterprise use cases Architect for scalability security availability and multi-domain adaptability accommodating diverse data modalities and system constraints Embed non-functional requirements NFRs latency throughput fault tolerance observability security and maintainability into all architectural designs Incorporate LLM Agentic AI and foundation model design patterns where appropriate ensuring performance and operational compliance in real-world deployments Enterprise Delivery and Vision Lead the translation of research and experimentation into production-grade solutions with measurable impact on business KPIs both top-line growth and bottom-line efficiency Perform deep-dive gap analysis in existing software and data pipelines and develop long-term architectural solutions and migration strategies Build architectures that thrive under enterprise constraints such as regulatory compliance resource limits multi-tenancy and lifecycle governance AI ML Engineering and MLOps Design and implement scalable MLOps workflows integrating CI CD pipelines experiment tracking automated validation and model retraining loops Operationalize AI pipelines using Azure Machine Learning Azure ML services and ensure seamless collaboration with data science and platform teams Ensure architectures accommodate responsible AI model explainability and observability layers Software Quality and Engineering Discipline Champion software engineering best practices with rigorous attention to - Code quality through static dynamic analysis and automated quality metrics - Code reviews pair programming and technical design documentation - Unit integration and system testing backed by frameworks like pytest unit test or Robot Framework - Code quality tools such as SonarQube CodeQL or similar Drive the culture of traceability testability and reliability embedding quality gates into the development lifecycle Own the technical validation lifecycle ensuring reproducibility and continuous monitoring post-deployment Cloud-Native AI Infrastructure Architect AI services with cloud-native principles including microservices containers and service mesh Leverage Azure ML Kubernetes Terraform and cloud-specific SDKs for full lifecycle management Ensure compatibility with hybrid-cloud on-premise environments and support constraints typical of engineering and industrial domains Qualifications Educational qualification Masteris or Ph D in Computer Science AI ML Software-Engineering or a related technical discipline Experience 15 years in software development including Deep experience in AI ML-based software systems Strong architectural leadership in enterprise software design Delivery experience in engineering-heavy and data-rich environments Mandatory requires Skills Programming Python required Java JS Frontend Backend Technologies Databases C bonus AI ML TensorFlow PyTorch ONNX scikit-learn MLFlow equivalents LLM GenAI Knowledge of transformers attention mechanisms fine-tuning prompt engineering Agentic AI Familiarity with planning frameworks autonomous agents and orchestration layers Cloud Platforms Azure preferred AWS or GCP experience with Azure ML Studio and SDKs Data Pipelines Airflow Kafka Spark Delta Lake Parquet SQL NoSQL Architecture Microservices event-driven design API gateways gRPC REST secure multi-tenancy DevOps MLOps GitOps Jenkins Azure DevOps Terraform containerization Docker Helm K8s What You Bring Proven ability to bridge research and engineering in the AI ML space with strong architectural clarity Ability to translate ambiguous requirements into scalable design patterns Deep understanding of the enterprise SDLCoincluding review cycles compliance testing and cross-functional alignment A mindset focused on continuous improvement metrics-driven development and transparent technical decision-making Additional Information Why Bosch Research At Bosch Research you will be empowered to lead the architectural blueprint of AI ML software products that make a tangible difference in industrial innovation You will have the autonomy to architect with vision scale with quality and deliver with rigor while collaborating with a global community of experts in AI engineering and embedded systems