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Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI, Cloud, data architecture, Integration Architecture)

Pay
Pay not listed
Work setting
Working pattern needs review — work setting source
Listed location: Remote, , India
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • Familiarity with Microsoft, ServiceNow, and related enterprise technology ecosystems is highly desirable.
Qualification wording
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.
Education & alternatives
Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Company Description
Apply at Nagarro

Posting record

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Status in our records
Live
First seen by us
Oct 10, 202634 days ago
Recorded sightings
86
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Nagarro is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
  • 29% of open jobs were reposted
Hiring record

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Where the posting names them
- 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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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

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.

About the role

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.

Job description

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Job Description

Requirements

  • 8+ years of experience in Solution Architecture, Technical Consulting, Pre-Sales Engineering, or related technology leadership roles.
  • Minimum 2+ years of hands-on experience delivering AI/ML or Generative AI solutions.
  • 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.
  • Proven experience supporting RFPs, proposals, technical evaluations, solution estimations, and client presentations.
  • Demonstrated ability to build and present executive-level demos, prototypes, and proof-of-concept solutions.
  • Excellent communication, presentation, stakeholder management, and technical storytelling skills.
  • Experience interacting with senior leadership, executive stakeholders, and business decision-makers.
  • Strong analytical and problem-solving skills with the ability to evaluate technical and commercial trade-offs.
  • Ability to create technical content, thought leadership materials, and industry-focused solution narratives.
  • Experience working in cross-functional and matrixed environments involving sales, consulting, architecture, and delivery teams.
  • Exposure to Public Sector, Government, Education, Higher Education, or Non-Profit domains is preferred.
  • Familiarity with Microsoft, ServiceNow, and related enterprise technology ecosystems is highly desirable.
  • Demonstrated thought leadership through publications, conference speaking engagements, webinars, or industry contributions is a plus.

Responsibilities

  • Act as the technical lead for AI solutioning, partnering with pre-sales, solution consultants, and planning teams across the deal lifecycle.
  • Design scalable AI/ML and GenAI solution architectures for proposals, RFPs, client questionnaires, and competitive bids.
  • Translate business challenges into technically sound, commercially viable, and value-driven AI solutions.
  • 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.
  • Serve as the subject matter expert for AI/ML, GenAI, data architecture, and emerging AI technologies.
  • Develop thought leadership content including whitepapers, blogs, technical articles, and industry point-of-view documents.
  • Represent the organization in webinars, conferences, industry forums, and executive client briefings.
  • Track emerging trends across AI, Generative AI, cloud ecosystems, and intelligent automation platforms and translate them into actionable recommendations.
  • Mentor solution consultants and pre-sales teams on AI solution positioning, architecture best practices, and technical storytelling.
  • Create reusable AI accelerators, reference architectures, frameworks, and demo assets to improve proposal quality and reduce solutioning effort.
  • Define and maintain a roadmap for AI accelerators and innovation assets aligned with business priorities and market demand.
  • Ensure all reusable assets are documented, scalable, maintainable, and available for broader organizational adoption.
  • Collaborate with architecture, design, engineering, and business teams to convert successful concepts into enterprise-grade reusable solutions.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼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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