Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

AI Architect

zeissgroup955 open roles

Where
Bangalore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Architectzeissgroup · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on zeissgroup's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. zeissgroup postings stay open a median of 21 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

zeissgroup median: 21 days open

The posting

ZEISS in India

ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.

ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace.

Further information at ZEISS India.

Duties and responsibilities

• Act as technical product owner and lead engineer for Microsoft-based agentic AI solutions supporting REF program and portfolio management.

• Take over externally and internally developed pilot components, assess their architecture and code quality, industrialize them, and establish sustainable internal ownership, documentation and support.

• Design, build and maintain secure data pipelines and connectors for relevant sources such as Microsoft Teams chats and meeting transcripts, SharePoint, Excel, Jira, Azure DevOps, Smartsheet, eDMS and Polarion.

• Create and maintain a common project fact base that links projects, tasks, milestones, dependencies, resources, decisions, risks, documents and meeting evidence.

• Develop and orchestrate agents for project status reporting, management briefings, evidence-based Q&A, risk and dependency analysis, resource and capability planning, and scenario support.

• Implement grounded retrieval, source attribution, data-quality checks and explicit gap handling so that every material output is transparent and reviewable.

• Use approved Microsoft and Azure capabilities, including Microsoft 365, Teams, Power Platform, Copilot technologies, Azure AI services and Entra ID, in alignment with ZEISS architecture and security standards.

• Implement identity, project-scoped authorization, audit logging, monitoring, model and prompt lifecycle management, testing, release management and incident support.

• Collaborate with ZEISS IT, ZEISS Digital Partners, the MED AI Hub, data owners and tool owners to secure access, clarify interfaces and reuse existing enterprise platforms and components.

• Partner closely with the Global Program Intelligence & Transformation Lead and all R&D projects to translate management questions into reliable technical products and measurable use cases.

• Build reusable engineering patterns, technical documentation, runbooks and knowledge-transfer materials; coach additional engineers as the capability scales.

• Continuously evaluate solution quality, cost, performance, security and user feedback and improve the platform based on evidence.

Authorities

• Recommend technical architecture, engineering standards and release decisions for the REF agentic AI and Portfolio Intelligence solution within approved ZEISS guardrails.

• Approve technical changes and deployments within the delegated product scope and defined change-control process.

• Reject integrations or agent releases that do not meet agreed security, data-quality, traceability or maintainability criteria.

• Coordinate technical work packages with internal teams and approved external engineering partners.

Qualifications

  • Graduate degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline.
  • •Typically 7+ years of hands-on experience in software, cloud or data engineering, including substantial experience designing production-grade AI, analytics or integration solutions.
  • Proven experience taking AI, data or software pilots from proof of concept into secure, scalable and sustainably operated production solutions.
  • Demonstrated experience with GenAI and agentic AI patterns, including retrieval-augmented generation, tool/function calling, orchestration, evaluation, observability and human-in-the-loop controls.
  • Strong practical experience with the Microsoft ecosystem, preferably Azure AI services, Microsoft 365 / Graph integration, Teams, Power Platform, Copilot technologies, Azure DevOps and Entra ID.
  • Strong data-engineering skills across APIs, ETL/ELT, SQL and document or semantic retrieval; experience integrating structured and unstructured enterprise data.
  • Strong hands-on programming skills for production AI and data integrations (for example, Python), combined with sound software-engineering practices, automated testing, CI/CD and infrastructure-as-code exposure.
  • Experience with secure enterprise architecture, access control, auditability, data protection and responsible AI. Experience in regulated industries or MedTech is strongly preferred.
  • Excellent communication skills and the ability to collaborate across India, Germany and global virtual teams.

Success measures

  • Stable internal operation and maintainability of the solution.
  • Reliable, traceable access to agreed data sources with appropriate authorization and monitoring.
  • Accuracy, usefulness and user trust of agent-generated project and portfolio outputs.
  • Reduction in manual reporting effort and cycle time for management preparation.
  • Reuse of common components and controlled scale-up to additional REF projects and use cases.

Other attributes

We are looking for a hands-on builder and pragmatic problem solver, not only an AI concept expert. The successful candidate combines deep technical curiosity with production discipline, understands that enterprise AI is primarily a data, integration and governance challenge, and can translate an externally accelerated pilot into a robust ZEISS-owned capability. Willingness to learn the MedTech and REF domain is essential.

Direct reports

None initially; the role is expected to lead technical contributors and partners through matrix collaboration. Team build-up may follow based on scaling decisions beyond REF.

Your ZEISS Recruiting Team:

Saptarshi Chowdhury

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against zeissgroup's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on zeissgroup's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    zeissgroup's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.