Time since we first saw it
Day 34
Similar jobs usually come down between day 4 and day 77.
Well past Nagarro’s usual: its jobs come down by about day 9.
From 51 similar postings that came down, and 81 of Nagarro’s. Coming down is not always a hire.
Remote, India
Live, first seen by us 34 days agoListed location: Remote, , India
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design scalable AI/ML and GenAI solution architectures for proposals and RFPs
Lead technical discovery workshops and solution walkthroughs with stakeholders
Build demos, prototypes, and proof-of-concept solutions for client pursuits
Support effort estimation, solution sizing, and risk analysis during sales cycles
Create reusable AI accelerators, reference architectures, and demo assets
Design scalable AI/ML and GenAI solution architectures for proposals, RFPs, client questionnaires, and competitive bids.
Lead technical discovery workshops, solution walkthroughs, whiteboarding sessions, and stakeholder discussions.
Build and deliver compelling demos, prototypes, and proof-of-concept solutions to support client engagements and proposal pursuits.
Support effort estimation, solution sizing, technical feasibility assessments, and risk analysis during sales cycles.
Create reusable AI accelerators, reference architectures, frameworks, and demo assets to improve proposal quality and reduce solutioning effort.
8+ years of experience in Solution Architecture, Technical Consulting, Pre-Sales Engineering, or related technology leadership roles.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.
Experience designing enterprise-scale AI, data, cloud, and integration architectures.
Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.
Strong understanding of MLOps, data pipelines, API integrations, and modern AI application architectures.
Familiarity with Microsoft, ServiceNow, and related enterprise technology ecosystems is highly desirable.
Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Company Description
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 34
Similar jobs usually come down between day 4 and day 77.
Well past Nagarro’s usual: its jobs come down by about day 9.
From 51 similar postings that came down, and 81 of Nagarro’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience designing enterprise-scale AI, data, cloud, and integration architectures. - Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems. - Strong understanding of MLOps, data pipelines, API integrations, and modern AI application architectures.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Requirements
Responsibilities
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
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Remote, India
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