Cloud Technical Consultant
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Siemens Digital Industries Software is seeking a talented Cloud Technical Consultant to join our team in Pune, India. In this pivotal role, you will guide customers and internal teams in developing secure, compliant, and resilient solutions within the Siemens Xcelerator portfolio. Our focus is on architecting and implementing robust cloud and AI solutions that safeguard customer data, promote ethical AI practices, and maintain trust in Siemens' digital offerings. You will collaborate with multi-functional teams, contributing technical expertise, driving standard methodologies, and ensuring the successful deployment and operation of SaaS and AI-driven solutions.
Key Responsibilities
- Develop and build AI solutions end-to-end: Architect, prototype, and deliver innovative AI tools and microservices to address enterprise use cases, ensuring seamless integration with existing platforms and environments (e.g., config drift comparison, license insight services).
- Embed Responsible AI by design: Establish and champion standards for bias and fairness checks, data quality, inclusivity, explainability (e.g., model cards), and human-centered safeguards throughout the AI lifecycle, influencing teams on performance-transparency trade-offs.
- Harden security and ensure compliance: Implement, strengthen, and supervise secure identity, data protection, and governance controls for AI workloads (model endpoints, secret/key management, auditability), adhering to corporate policies and cloud security best practices.
- Operationalize with robust MLOps: Set up, automate, and optimize CI/CD pipelines for models and services, streamline evaluation and monitoring, detect configuration/model drift, and establish runtime observability for reliability and scale.
- Consult, collaborate, and drive adoption: Translate business and technical requirements into actionable solutions, lead demos and proofs of value, and serve as a trusted advisor to customers and internal teams, aligning with Solution Consultant proficiencies.
DevOps / MLOps Focus
- CI/CD pipelines: Build and maintain automated pipelines (GitLab/GitHub Actions/Azure DevOps) for AI services and model artifacts, including unit/integration tests and quality gates.
- Infrastructure as Code: Provision and manage cloud resources using Terraform/ARM/CloudFormation, implementing environment parity across development, testing, staging, and production.
- Observability & reliability: Configure logging, metrics, and tracing; establish Service Level Objectives (SLOs) and Service Level Indicators (SLIs); drive incident response and post-mortems.
Required Qualifications
- Bachelor's or Master's degree in Computer Science or a related field.
- 2+ years of experience in AI and Cloud technologies.
- Demonstrable understanding of:
- Generative AI: Hugging Face Transformers, OpenAI/Anthropic APIs, LangChain, Llama-Index
- Data Handling: Pandas, NumPy
- Visualization: Matplotlib, Seaborn
- Cloud services: AWS Bedrock, Azure OpenAI Service, GCP Vertex AI
- Excellent communication and collaborator leadership skills.
- UI development experience with React/JS is a plus.
Join our global team of over 377,000 minds shaping the future. We are committed to equality and welcome applications that reflect the diversity of our communities. All employment decisions at Siemens are based on qualifications, merit, and business needs. Bring your curiosity and creativity to help us shape tomorrow. We offer a comprehensive reward package including competitive salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
Company
Siemens Digital Industries Software
Siemens Digital Industries Software is a global leader in providing advanced solutions for product design, simulation, and manufacturing across diverse industries. Our innovative Product Lifecycle Man...