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Generative AI Solutions Engineer

Generative AI Solutions Engineer

Siemens

3 - 8 years

12 - 17 Lacs

pune

Posted:6 days ago| Platform:

Apply

Skills Required

generative ai kubernetes mlops python github ai solutions aws sagemaker machine learning change management docker automation azure ml devops scrum software engineering agile https aws programming architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a Generative AI Solutions Engineer

We are seeking a highly motivated and skilled Generative AI Solutions Engineer to join our innovative team. In this pivotal role, you will bridge the gap between strategic business needs and advanced AI capabilities, focusing on the full lifecycle of AI development and operations. With a strong emphasis on generative AI solutions and agent implementation, you will be instrumental in translating strategic business objectives into robust, scalable, and production-ready AI architectures, ensuring flawless integration and continuous improvement.

This is a phenomenal opportunity for someone passionate about demonstrating modern AI to tackle real-world business challenges and drive impactful innovation!

Youll make a difference by:

Business Analysis & Strategy:
Collaborate closely with stakeholders to gather, analyze, and meticulously document requirements for modern AI-driven projects.
Translate complex business needs into clear, actionable functional and technical specifications for AI solutions.
Conduct thorough feasibility studies and comprehensive Return on Investment (ROI) analyses for new AI initiatives, guiding strategic decision-making.
Support change management efforts and drive the successful adoption of AI solutions across various business units.

Collaboration & Communication:
Act as a vital liaison, fostering effective communication and teamwork between diverse business units and technical development teams.
Present insights, prototypes, and project results to collaborators in a clear, concise, and actionable manner, facilitating informed decisions.
Continuously monitor and stay on top of emerging AI technologies, industry standard processes, and innovative approaches, especially within the Generative AI landscape.

AI Solution Design & Implementation:
Design, deploy, and maintain scalable, enterprise-grade AI architectures and multi-step agent pipelines, demonstrating a strong understanding of end-to-end solution design patterns and standard processes for GenAI applications.
Build, deploy, and maintain FastAPI endpoints specifically for GenAI agents.
Monitor and continuously improve model performance, latency, and accuracy in production environments, ensuring enterprise-grade standards for reliability, traceability, and maintainability.

Youll win us over by:

Required Experience:

2-3 years of hands-on experience in the full lifecycle of AI development and operations, with a strong focus on generative AI solutions and agent implementation, including successful integration into production environments.

Technical Expertise (Hard Skills):

Generative AI & Machine Learning
:
In-depth knowledge and hands-on experience with core GenAI components (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, embeddings, agent systems) as well as foundational classical machine learning concepts.
Cloud ML Platforms
:
Validated experience with leading cloud-based ML services such as Azure ML Studio, Azure OpenAI Service, AWS SageMaker, or AWS Bedrock.
Containerization & Orchestration
:
Expertise with containerization technologies (e.g., Docker, Kubernetes, Azure Container Apps, AWS Fargate).
DevOps & MLOps
:
Strong understanding and experience with GitHub workflows, CI/CD pipeline management, and robust deployment automation strategies.
Programming & Frameworks
:
Proficiency in Python and familiarity with modern ML frameworks and agent frameworks (such as LangGraph and ADK).

Professional Skills (Soft Skills):

Agile Methodologies
:
Practical experience with agile development methodologies (e.g., Scrum).
Problem-Solving: Strong troubleshooting and analytical problem-solving skills, with an ability to solve complex technical challenges effectively.
Software Engineering Principles
:
Excellent software engineering skills, including a commitment to good coding practices, clean architecture, and maintainable code.

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Generative AI Solutions Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

We are looking for a Generative AI Solutions Engineer

Youll make a difference by:

Business Analysis & Strategy:

Collaboration & Communication:

AI Solution Design & Implementation:

Youll win us over by:

Required Experience:

Technical Expertise (Hard Skills):

:

:

:

:

:

Professional Skills (Soft Skills):

:

:

More Jobs at Siemens