Log in
All jobs
SH

Lead GenAI Engineer

Siemens Healthineers AG
Bengaluru, Karnataka, India Posted Oct 23, 2026
On-site

About this role

Lead GenAI Engineer – Enterprise & Product AI

Role Overview We are looking for a Lead GenAI Engineer who will drive identification, architecture, implementation, adoption, and governance of GenAI solutions while enabling teams to leverage common AI capabilities, platforms, and best practices.

Key Responsibilities

  • Partner with product teams, engineering, architecture, data science, and business stakeholders to identify and prioritize GenAI opportunities and use cases.

  • Define and drive GenAI solution architecture, including LLMs, RAG, Agentic AI, MCP, AI agents, vector databases, knowledge graphs, and AI orchestration.

  • Lead technical evaluation and selection of models, frameworks, tools, and AI platforms based on business and product requirements.

  • Develop PoCs, prototypes, and production-ready GenAI solutions, ensuring scalability, security, performance, and maintainability. Must be hands-on with coding, solution development, and technical implementation.

  • Establish reusable GenAI patterns, frameworks, components, and reference architectures across products.

  • Provide technical guidance on prompt engineering, RAG, agent design, evaluation, guardrails, hallucination mitigation, and AI observability.

  • Drive GenAI quality and evaluation practices, including accuracy, relevance, groundedness, latency, cost, and safety.

  • Collaborate with cybersecurity, compliance, legal, and architecture teams to ensure responsible and compliant AI adoption.

  • Stay current with emerging GenAI technologies and assess their applicability to healthcare and product engineering.

  • Conduct technical workshops, knowledge-sharing sessions, and enablement programs to improve GenAI adoption and AI literacy.

  • Mentor GenAI engineers and support product teams in building their GenAI capabilities.

  • Represent the organization/product team in GenAI technical forums, innovation initiatives, and technology evaluations.

  • Required Skills and Qualifications

  • Bachelor’s/Master’s degree in Computer Science, AI/ML, Engineering, or related field.

  • 10–12 years of experience in software/AI engineering and development, including significant experience in Generative AI/LLMs.

  • Strong hands-on experience with Generative AI, LLMs, RAG, and AI Agents.

  • Preferred: Azure AI, Azure Cloud, or other relevant AI/cloud technology certifications; not mandatory.

  • Knowledge of Azure AI / cloud AI services, vector databases, AI Search, APIs, and containerized deployments.

  • Understanding of MCP, Agent-to-Agent communication, orchestration, and AI-native application patterns.

  • Experience with LLM evaluation, observability, guardrails, security, and responsible AI.

  • Ability to translate business/product problems into scalable GenAI solutions.

  • Strong understanding of AI architecture, evaluation, security, and governance.

  • Excellent technical leadership, communication, and stakeholder management skills.

Benefits

  • Lead GenAI Engineer – Enterprise & Product AI

  • Role Overview

  • We are looking for a Lead GenAI Engineer who will drive identification, architecture, implementation, adoption, and governance of GenAI solutions while enabling teams to leverage common AI capabilities, platforms, and best practices.

Key Responsibilities

  • Partner with product teams, engineering, architecture, data science, and business stakeholders to identify and prioritize GenAI opportunities and use cases.

  • Define and drive GenAI solution architecture, including LLMs, RAG, Agentic AI, MCP, AI agents, vector databases, knowledge graphs, and AI orchestration.

  • Lead technical evaluation and selection of models, frameworks, tools, and AI platforms based on business and product requirements.

  • Develop PoCs, prototypes, and production-ready GenAI solutions, ensuring scalability, security, performance, and maintainability. Must be hands-on with coding, solution development, and technical implementation.

  • Establish reusable GenAI patterns, frameworks, components, and reference architectures across products.

  • Provide technical guidance on prompt engineering, RAG, agent design, evaluation, guardrails, hallucination mitigation, and AI observability.

  • Drive GenAI quality and evaluation practices, including accuracy, relevance, groundedness, latency, cost, and safety.

  • Collaborate with cybersecurity, compliance, legal, and architecture teams to ensure responsible and compliant AI adoption.

  • Stay current with emerging GenAI technologies and assess their applicability to healthcare and product engineering.

  • Conduct technical workshops, knowledge-sharing sessions, and enablement programs to improve GenAI adoption and AI literacy.

  • Mentor GenAI engineers and support product teams in building their GenAI capabilities.

  • Represent the organization/product team in GenAI technical forums, innovation initiatives, and technology evaluations.

  • Required Skills and Qualifications

  • Bachelor’s/Master’s degree in Computer Science, AI/ML, Engineering, or related field.

  • 10–12 years of experience in software/AI engineering and development, including significant experience in Generative AI/LLMs.

  • Strong hands-on experience with Generative AI, LLMs, RAG, and AI Agents.

  • Preferred: Azure AI, Azure Cloud, or other relevant AI/cloud technology certifications; not mandatory.

  • Knowledge of Azure AI / cloud AI services, vector databases, AI Search, APIs, and containerized deployments.

  • Understanding of MCP, Agent-to-Agent communication, orchestration, and AI-native application patterns.

  • Experience with LLM evaluation, observability, guardrails, security, and responsible AI.

  • Ability to translate business/product problems into scalable GenAI solutions.

  • Strong understanding of AI architecture, evaluation, security, and governance.

  • Excellent technical leadership, communication, and stakeholder management skills.

  • Apply now

  • Get tailored job recommendations based on your interests.

  • Get started

  • profile icon

  • 4 hours.

  • Profile recommendations

  • See more

  • See less

  • See next

  • See even more

  • No recommendations found

  • Get notified for similar jobs

  • Sign up to receive job alerts

  • Enter Email address (Required)

  • Activate

  • Success! Successfully subscribed for similar jobs ok

  • Failure! You have already subscribed for similar jobs ok

  • Failure! Failed to subscribed for similar jobs ok

  • Success!

  • Successfully subscribed for similar jobs

  • Ok

  • Failure!

  • Ok

  • Similar jobs

  • See more

  • See less

  • See next

  • See even more

  • No recommendations found

  • Share this job

  • Share job link

  • To your colleagues or friends

  • Cancel

  • Copy Link

  • c965912c676147f7a58c056efddfef19

  • By interacting with the Careers Bot, I agree to the processing of my personal data as described in the Privacy Notice.

  • Today 07:56 am

  • Bot message

  • Hi There!

  • Are you interested in this job?

  • Chatbot User Input box with Send button

  • ]

Your next opportunity starts here

Prepare, apply, track, interview and get hired — all from one platform, with AI in your corner.

Download app

Or sponsor Premium for someone who's job hunting →