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

Nagarro Verified employer

Full time
Experience
8+ years
Location
India
Work mode
Not stated
Salary
₹10L – ₹24L a year estimatetypical for IT Jobs in India, 910 posts
Posted 22 days ago Last checked 4 hr ago

You apply on Nagarro's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • 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.
Experience
8+ years
Education
Bachelor's degree
Must-have skills
AWSGoogle Cloud Platform (GCP)MLOpsMicrosoft AzurePrompt EngineeringStakeholder Management
Work mode
Remote

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

Job description

Location: Remote, , India
Department: Information Technology

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!

Key skills

Required

AWSGoogle Cloud Platform (GCP)MLOpsMicrosoft AzurePrompt EngineeringStakeholder Management

Preferred

ServiceNow

Soft skills

CommunicationLeadershipProblem Solving

Job market insights

2,461active AWS jobs in India
1,409active Google Cloud Platform (GCP) jobs in India
222active MLOps jobs in India
₹10L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 910 posts that show a salary; median ₹17L)
78 more open jobs at Nagarro

Jobs asking for AWS in India also ask for

  • Microsoft Azure56%
  • Python55%
  • Google Cloud Platform (GCP)46%
  • CI/CD42%
  • Kubernetes36%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI, Cloud, data architecture, Integration Architecture) job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹24L a year (typical for IT Jobs in India, 910 posts).

How much experience does this job need?

The post asks for 8 Yrs experience.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Nagarro's website. CoreHRx takes you there after you sign in.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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